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To run the simulation use PIConGPU 0.4.2 (see DOI: 10.5281/zenodo.1491926).           </dc:description>
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          <dc:description>We study the optical properties of thin flakes of InSe encapsulated in hexagonal boron nitride. Mores pecifically, we investigate the photoluminescence (PL) emission and its dependence on sample thickness and temperature. Through the analysis of the PL line shape, we discuss the relative weights of the exciton and electron-hole contributions. Thereafter we investigate the PL dynamics. Two contributions are distinguishable at low temperature: direct band-gap electron-hole and defect-assisted recombination. The two recombination processes have lifetimes ofτ1∼8ns andτ2∼100 ns, respectively. The relative weights of the direct band-gap and defect-assisted contributions show a strong layer dependence due to the direct-to-indirect band-gap crossover. Electron-hole PL lifetime is limited by population transfer to lower-energy states and no dependence on the number of layers was observed. The lifetime of the defect-assisted recombination gets longer for thinner samples. Finally, we show that the PL lifetime decreases at high temperatures as a consequence of more efficient nonradiative recombinations.</dc:description>
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          <dc:description>This repository contains the Kohn-Sham density functional theory (KS-DFT) and path-integral Monte-Carlo (PIMC) data used in the journal publication "The relevance of electronic perturbations in the warm dense electron gas".</dc:description>
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          <dc:description>This research data publication contains: - Experimental datasets which were evaluated and presented in the corresponding article. - Origin software file that contains the raw data as well as the different steps of the data analysis, the results of which are presented in the article.</dc:description>
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          <dc:title>Research data: Terahertz signatures of ultrafast Dirac fermion relaxation at the surface of topological insulators</dc:title>
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          <dc:description>Primary Research Data for "Kagome Flat Bands from Self-Assembled Water on Non–van der Waals 2D Materials"

Tom Barnowsky, Madeleine Christie, Anastasiia Nihei, and Rico Friedrich
TU Dresden &amp; Helmholtz-Zentrum Dresden-Rossendorf, Germany

This dataset contains the primary data supporting the publication "Kagome Flat Bands from Self-Assembled Water on Non–van der Waals 2D Materials".

Data Structure

The dataset is organized according to the following directory template:

.
├── binaries
│   ├── 001_facet_Al2O3_ICSD_89664_PBE_relax_ions_cell_shape
│   │   └── passivation_H2O_full
│   │       ├── aflow.in
│   │       ├── ...
│   │       └── MD_300K_PROB_0.01
│   │           ├── INCAR.xz
│   │           └── ...
│   └── ...
└── ternaries
    └── ...

The data hierarchy consists of the following levels:


	System type: `binaries` (two chemical species) versus `ternaries` (three chemical species).
	Pristine slab data: Directories of the form `001_facet_*` contain pristine slab structures from Refs. [1,2]. These directories are left empty as this data can be acquired from the associated data publications [3,4].
	H2O passivated slabs: The directories `passivation_H2O_full` contains AFLOW/VASP [5–10] input and output files for structural relaxation and electronic band structure calculations.
	Molecular dynamics simulations: The directories `MD_300K_PROB_0.01` contains VASP input and output files for molecular dynamics simulations at 300 K used to assess structural stability.


Additional electronic analysis: For KSbO3, an additional subdirectory `electronic_details` inside `passivation_H2O_full` contains charge density differences, local electrostatic potentials, and partial charge densities.

Solvation Calculations

For the 11 systems identified as dynamically stable, a duplicate of the directory tree described above is provided with the suffix `_water_solvation`. These directories contain VASPsol++ [11] solvation-corrected calculations for both pristine slabs and H2O-passivated sheets.</dc:description>
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          <dc:relation>doi:10.1103/PhysRevB.47.558</dc:relation>
          <dc:relation>doi:10.1103/PhysRevB.49.16223</dc:relation>
          <dc:relation>doi:10.1088/0953-8984/6/40/015</dc:relation>
          <dc:relation>doi:10.1103/PhysRevB.54.11169</dc:relation>
          <dc:relation>doi:10.1016/0927-0256(96)00008-0</dc:relation>
          <dc:relation>doi:10.1063/5.0176308</dc:relation>
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          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>2D materials</dc:subject>
          <dc:subject>passivation</dc:subject>
          <dc:subject>non-van der Waals compounds</dc:subject>
          <dc:subject>high-throughput computing</dc:subject>
          <dc:subject>flat bands</dc:subject>
          <dc:subject>kagome lattice</dc:subject>
          <dc:title>Data Publication: Kagome Flat Bands from Self-Assembled Water on Non–van der Waals 2D Materials</dc:title>
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          <dc:subject>graphene</dc:subject>
          <dc:subject>encapsulated graphene</dc:subject>
          <dc:subject>nonlinear optics</dc:subject>
          <dc:subject>harmonic generation</dc:subject>
          <dc:title>Research data: THz harmonic generation from ultraclean graphene</dc:title>
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For details on usage or maintenance please contact Dr. Attila Kákay at a.kakay@hzdr.de

This package also include the mode movie program, that can be used to recover the spatial profiles of the magnetization dynamics with a given frequency, obtained with the power spectrum computation. modemovie -h shows a help on the usage. When running the program, will ask for the frequency index that is stored in the spectrum (text file) computed by the mumax3-pwsp, and for the number of periods and number of frames in a period, for the output files that can be used to created a movie of the magnetization dynamics.

For further help and details look the source code or contact Dr. Attila Kákay at a.kakay@hzdr.de</dc:description>
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          <dc:subject>magnetization dynamics</dc:subject>
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          <dc:date>2025-11-30</dc:date>
          <dc:description>Data to create figures for "Synthetic Optical Imaging in PIConGPU" and source code to rerun simulations. 


	`cryojet_shadowgram_plugin_data.zip`: Simulation with cryojet shadowgram (Fig 4b, 4c, 4d), input files to rebuild and rerun simulation are in `input/include` and `input/etc`
	`doubleslit_openpmd_data_setup.zip`: Simulation with double slit setup picture (Fig. 2), input files to rebuild and rerun simulation are in `input/include` and `input/etc`
	`doubleslit_shadowgram_openpmd_data.zip`: Simulation with double slit shadowgram made with openPMD time integration (Fig. 3b), input files to rebuild and rerun simulation are in `input/include` and `input/etc`
	`doubleslit_shadowgram_plugin_data.zip`: Simulation with double slit shadowgram made with plugin (Fig. 3a and 3b), input files to rebuild and rerun simulation are in `input/include` and `input/etc`
	`picongpu-cryojet.zip`: PIConGPU source code for cryojet simulations
	`picongpu-doubleslit.zip`: PIConGPU source code for double slit simulations




Changelog 1.0.0 -&gt; 2.0.0:


	Update `cryojet_shadowgram_plugin_data.zip` for the new shadowgraphy cryojet simulation (Fig 4b, 4c, 4d)
	Removed `cryojet_openpmd_data.zip`, the density plot (Fig. 4a) is now directly created with a python script with the information from the `density.param` in `cryojet_shadowgram_plugin_data.zip`
</dc:description>
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          <dc:relation>url:https://www.hzdr.de/publications/Publ-42310</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>Particle-in-Cell</dc:subject>
          <dc:subject>Laser Plasma Acceleration</dc:subject>
          <dc:subject>Shadowgraphy</dc:subject>
          <dc:subject>PIConGPU</dc:subject>
          <dc:title>Data publication: Synthetic Optical Imaging in PIConGPU</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
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        <identifier>oai:rodare.hzdr.de:2305</identifier>
        <datestamp>2023-05-22T07:25:30Z</datestamp>
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          <dc:creator>Lünser, Klara</dc:creator>
          <dc:creator>Undisz, Andreas</dc:creator>
          <dc:creator>Nielsch, Kornelius</dc:creator>
          <dc:creator>Fähler, Sebastian</dc:creator>
          <dc:date>2023-05-09</dc:date>
          <dc:description>This dataset belongs to the paper "How to grow single-crystalline and epitaxial NiTi films in (100)- and (111)-orientation" and contains all raw data used for the paper. It includes AFM, SEM, R(T), TEM, Texture measurements and rocking curves.  Information about samples, measurement techniques and file naming conventions can be found in README.txt. </dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2305</dc:identifier>
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          <dc:identifier>oai:rodare.hzdr.de:2305</dc:identifier>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-36945</dc:relation>
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          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>NiTi films</dc:subject>
          <dc:subject>shape memory alloys</dc:subject>
          <dc:subject>epitaxial film growth</dc:subject>
          <dc:subject>Nitinol</dc:subject>
          <dc:title>Data for "How to grow single-crystalline and epitaxial NiTi films in (100)- and (111)-orientation"</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:1194</identifier>
        <datestamp>2021-10-05T04:25:19Z</datestamp>
        <setSpec>software</setSpec>
        <setSpec>software</setSpec>
        <setSpec>user-matter</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
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          <dc:creator>Stiller, Patrick</dc:creator>
          <dc:creator>Zhdanov, Maksim</dc:creator>
          <dc:creator>Rustamov, Jeyhun</dc:creator>
          <dc:creator>Bethke, Friedrich</dc:creator>
          <dc:creator>Hoffmann, Nico</dc:creator>
          <dc:date>2021-09-06</dc:date>
          <dc:description>Neural Solvers are neural network-based solvers for partial differential equations and inverse problems. The framework implements scalable physics-informed neural networks Physics-informed neural networks allow strong scaling by design. Therefore, we have developed a framework that uses data parallelism to accelerate the training of physics-informed neural networks significantly. To implement data parallelism, we use the Horovod framework, which provides near-ideal speedup on multi-GPU regimes.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/1194</dc:identifier>
          <dc:identifier>10.14278/rodare.1194</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:1194</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://arxiv.org/pdf/2009.03730.pdf</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-33172</dc:relation>
          <dc:relation>doi:10.14278/rodare.1193</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/1.0/legalcode</dc:rights>
          <dc:subject>PINNs</dc:subject>
          <dc:subject>PDEs</dc:subject>
          <dc:subject>Neural Solver</dc:subject>
          <dc:subject>Scalable AI</dc:subject>
          <dc:title>Neural Solvers</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>software</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:2365</identifier>
        <datestamp>2023-10-24T07:42:14Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-rodare</setSpec>
        <setSpec>user-matter</setSpec>
        <setSpec>user-hzdr</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Lünser, Klara</dc:creator>
          <dc:creator>Fähler, Sebastian</dc:creator>
          <dc:date>2023-07-12</dc:date>
          <dc:description>This dataset contains data about the epitaxial NiTi film that was used in the publication "Guided acoustic waves in thin epitaxial films: experiment and inverse problem solution for NiTi". It contains the SEM, AFM, FIB and R(T) data used to characterize the film.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2365</dc:identifier>
          <dc:identifier>10.14278/rodare.2365</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:2365</dc:identifier>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-37259</dc:relation>
          <dc:relation>doi:10.14278/rodare.2364</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>NiTi</dc:subject>
          <dc:subject>epitaxial film</dc:subject>
          <dc:title>Dataset for "Guided acoustic waves in thin epitaxial films: experiment and inverse problem solution for NiTi"</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:2328</identifier>
        <datestamp>2023-07-06T07:52:13Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-matter</setSpec>
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      <metadata>
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          <dc:creator>Lünser, Klara</dc:creator>
          <dc:creator>Undisz, Andreas</dc:creator>
          <dc:creator>Wagner, Martin</dc:creator>
          <dc:creator>Nielsch, Kornelius</dc:creator>
          <dc:creator>Fähler, Sebastian</dc:creator>
          <dc:date>2023-06-27</dc:date>
          <dc:description>This dataset belongs to the paper "Solving the puzzle of hierarchical martensitic microstructures in NiTi by (111)-oriented epitaxial films" and contains all raw data used for the paper. It includes SEM, TEM, Texture measurements and inverse polfigures. It also contains the MATLAB code for calculating variant orientations, twin boundary and habit plane orientations, and inverse pole figures. Information about sample, measurement techniques and further data description can be found in README.txt.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2328</dc:identifier>
          <dc:identifier>10.14278/rodare.2328</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:2328</dc:identifier>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-37172</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-37198</dc:relation>
          <dc:relation>doi:10.14278/rodare.2327</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/fwi</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>NiTi</dc:subject>
          <dc:subject>martensitic microstructure</dc:subject>
          <dc:subject>epitaxial film</dc:subject>
          <dc:title>Data publication: Solving the puzzle of hierarchical martensitic microstructures in NiTi by (111)-oriented epitaxial films</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:3822</identifier>
        <datestamp>2025-06-20T06:22:30Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-matter</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Chanlaridis, Savvas</dc:creator>
          <dc:creator>Ohse, David</dc:creator>
          <dc:creator>Alvarez-Castillo, David Edwin</dc:creator>
          <dc:creator>Antoniadis, John</dc:creator>
          <dc:creator>Blaschke, David</dc:creator>
          <dc:creator>Danchev, Victor</dc:creator>
          <dc:creator>Langer, Norbert</dc:creator>
          <dc:creator>Misra, Devina</dc:creator>
          <dc:date>2025-06-19</dc:date>
          <dc:description>Tabulated data for the evolution of masses, radii and orbits of accreting millisecond pulsars in binaries corresponding to functions displayed in the figures of the related publication.</dc:description>
          <dc:description>When using the data, please cite the publication S. Chanlaridis et al., Astron. Astrophys. 695, A16 (2025) and to this repository.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/3822</dc:identifier>
          <dc:identifier>10.14278/rodare.3822</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:3822</dc:identifier>
          <dc:relation>doi:10.1051/0004-6361/202452259</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-41502</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-41501</dc:relation>
          <dc:relation>doi:10.14278/rodare.3821</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>accretion</dc:subject>
          <dc:subject>dense matter</dc:subject>
          <dc:subject>equation of state</dc:subject>
          <dc:subject>millisecond pulsars</dc:subject>
          <dc:subject>eccentric binaries</dc:subject>
          <dc:subject>twin stars</dc:subject>
          <dc:subject>neutron star kicks</dc:subject>
          <dc:title>Data publication: Formation of twin compact stars in low-mass X-ray binaries. Implications for eccentric and isolated millisecond pulsar populations</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
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        <identifier>oai:rodare.hzdr.de:1544</identifier>
        <datestamp>2023-01-27T11:18:09Z</datestamp>
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          <dc:creator>Ilyakov, Igor</dc:creator>
          <dc:creator>Agarwal, Naman</dc:creator>
          <dc:creator>Deinert, Jan-Christoph</dc:creator>
          <dc:creator>Liu, Jia</dc:creator>
          <dc:creator>Yaroslavtsev, Alexander</dc:creator>
          <dc:creator>Foglia, Laura</dc:creator>
          <dc:creator>Kurdi, Gabor</dc:creator>
          <dc:creator>Mincigrucci, Riccardo</dc:creator>
          <dc:creator>Principi, Emiliano</dc:creator>
          <dc:creator>Jakob, Gerhard</dc:creator>
          <dc:creator>Kläui, Mathias</dc:creator>
          <dc:creator>Seifert, Tom</dc:creator>
          <dc:creator>Kampfrath, Tobias</dc:creator>
          <dc:creator>Kovalev, Sergey</dc:creator>
          <dc:creator>Carley, Robert</dc:creator>
          <dc:creator>Scherz, Andreas</dc:creator>
          <dc:creator>Gensch, Michael</dc:creator>
          <dc:date>2022-04-27</dc:date>
          <dc:description>This repository entry contains the research data used for generating the publication "Terahertz-wave decoding of femtosecond extreme-ultraviolet light pulses".</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/1544</dc:identifier>
          <dc:identifier>10.14278/rodare.1544</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:1544</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.1364/OPTICA.453130</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-32547</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-34564</dc:relation>
          <dc:relation>doi:10.14278/rodare.1543</dc:relation>
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          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/restrictedAccess</dc:rights>
          <dc:subject>Terahertz</dc:subject>
          <dc:subject>Extreme Ultraviolet</dc:subject>
          <dc:subject>Pulse-resolved</dc:subject>
          <dc:subject>ultrafast</dc:subject>
          <dc:subject>terahertz tomography</dc:subject>
          <dc:subject>electron bunch diagnostics</dc:subject>
          <dc:title>Research data: Terahertz-wave decoding of femtosecond extreme-ultraviolet light pulses</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
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      <header>
        <identifier>oai:rodare.hzdr.de:3869</identifier>
        <datestamp>2025-07-15T08:04:27Z</datestamp>
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          <dc:creator>Neumann, Bruno</dc:creator>
          <dc:creator>Jocobi, Giovanna</dc:creator>
          <dc:creator>Izadi, Ali</dc:creator>
          <dc:creator>Henschke, Andreas</dc:creator>
          <dc:creator>Fähler, Sebastian</dc:creator>
          <dc:date>2025-06-18</dc:date>
          <dc:description>Data publication for the journal article entitled "The power of thermoelastic harvesting of low-grade waste heat: A question of timing" 
by Bruno Neumann, Giovanna Jocobi, Ali Izadi, Andreas Henschke and Sebastian Fähler.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/3869</dc:identifier>
          <dc:identifier>10.14278/rodare.3869</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:3869</dc:identifier>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-41491</dc:relation>
          <dc:relation>doi:10.14278/rodare.3815</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/fwi</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/ibc</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>Shape Memory Alloys</dc:subject>
          <dc:subject>In-Operando</dc:subject>
          <dc:subject>Thermoelastic</dc:subject>
          <dc:subject>Waste heat</dc:subject>
          <dc:title>The power of thermoelastic harvesting of low-grade waste heat: A question of timing the heat exchange</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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      <header>
        <identifier>oai:rodare.hzdr.de:3348</identifier>
        <datestamp>2025-01-07T13:15:50Z</datestamp>
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      <metadata>
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          <dc:creator>Neumann, Bruno</dc:creator>
          <dc:creator>Fähler, Sebastian</dc:creator>
          <dc:date>2024-12-20</dc:date>
          <dc:description>Data publication for the FEM-simulation study entitled "Design guidelines for efficient thermoelastic harvesting of low-grade waste heat" by Bruno Neumann and Sebastian Fähler. The attached archive contains a readme file to explain the structure of the data and where it can be found.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/3348</dc:identifier>
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          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:title>Design guidelines for efficient thermoelastic harvesting of low-grade waste heat</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
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      <header>
        <identifier>oai:rodare.hzdr.de:1856</identifier>
        <datestamp>2024-10-24T14:59:28Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-hzdr</setSpec>
        <setSpec>user-matter</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Fiedler, Lenz</dc:creator>
          <dc:creator>Moldabekov, Zhandos</dc:creator>
          <dc:creator>Shao, Xuecheng</dc:creator>
          <dc:creator>Jiang, Kaili</dc:creator>
          <dc:creator>Dornheim, Tobias</dc:creator>
          <dc:creator>Pavanello, Michele</dc:creator>
          <dc:creator>Cangi, Attila</dc:creator>
          <dc:date>2022-05-30</dc:date>
          <dc:description># Data and Scripts for "Accelerating Equilibration in First-Principles Molecular Dynamics with Orbital-Free Density Functional Theory"

This dataset contains data and calculation scripts for the publication "Boosting first-principles molecular dynamics with orbital-free density functional theory".
Its goal is to enable interested parties to reproduce the experiments we have carried out. 

## Prerequesites

The following software versions are needed for the python scripts:

- `python`: 3.8.x
- `mala`: 1.1.0 (with `dftpy` installed)

Further, make sure you have a working `Quantum ESPRESSO` and `VASP` installation and have downloaded additional 
data such as local pseudopotentials and ML models (for references, see publication).

## Contents

- `scripts/`: Example scripts for the three principal python tasks associated with out work: ML inference, trajectory
analysis and OF-DFT-MD runs (via DFTPy). The scripts are general blueprints for these experiments and can be adjusted
to perform all of the calculations given in the publication.
- `data/`: Contains raw calculation data for the three investigated systems (hydrogen, beryllium and aluminium).
Since the main goal of this work is to compare OF-DFT-MD initialized and ideal crystal structure initialized 
trajectories and inferences, each of the three system-folders contains a `MD_ideal_crystal_structure` and 
`MD_ofdft_init` folder, with ideal crystal structure and OF-DFT-MD initialized data, respectively. Therein, contents
may differ; e.g. aluminium contains DFT calculation data, for beryllium data is divided by system size and Nosé mass,
while for hydrogen data for different temperatures is given. 
</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/1856</dc:identifier>
          <dc:identifier>10.14278/rodare.1856</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:1856</dc:identifier>
          <dc:relation>doi:10.1103/PhysRevResearch.4.043033</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-34767</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-34778</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-39797</dc:relation>
          <dc:relation>doi:10.14278/rodare.1648</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:title>Data and Scripts for "Accelerating Equilibration in First-Principles Molecular Dynamics with Orbital-Free Density Functional Theory"</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:1813</identifier>
        <datestamp>2022-08-04T09:43:06Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-hzdr</setSpec>
        <setSpec>user-fwd</setSpec>
        <setSpec>user-matter</setSpec>
        <setSpec>user-rodare</setSpec>
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          <dc:subject>low Pr</dc:subject>
          <dc:subject>cylinder</dc:subject>
          <dc:subject>Aspect Ratio 0.5</dc:subject>
          <dc:subject>Ultrasound Doppler Velocimetry</dc:subject>
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          <dc:creator>Branco, João</dc:creator>
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          <dc:creator>Glenzer, Siegfried H.</dc:creator>
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          <dc:creator>Irman, Arie</dc:creator>
          <dc:creator>Kim, Jongjin B.</dc:creator>
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          <dc:description>This data repository contains analyzed data files of the shown figures and simulation input files.

Please see the according README.txt files in the individual directories and the original manuscript for guidance.

Manuscript title:
  All-optical structuring of laser-driven proton beam profiles

Authors:
  Lieselotte Obst, Tim Ziegler, Florian-Emanuel Brack, Joao Branco, Michael Bussmann, Thomas E. Cowan, Chandra B. Curry, Frederico Fiuza, Marco Garten, Maxence Gauthier, Sebastian Göde, Siegfried H. Glenzer, Axel Huebl, Arie Irman, Siegfried H. Glenzer, Axel Huebl, Arie Irman, Jongjin B. Kim, Thomas Kluge, Stephan Kraft, Florian Kroll, Josefine Metzkes-Ng, Richard Pausch, Irene Prencipe, Martin Rehwald, Christian Rödel, Hans-Peter Schlenvoigt, Ulrich Schramm, Karl Zeil

Submitted to:
  Nature Communications (2018)


Responsible for the data repository:
  Lieselotte Obst-Huebl, TU Dresden and HZDR
  Axel Huebl, TU Dresden and HZDR
  Tim Ziegler, TU Dresden and HZDR
  Thomas Kluge, HZDR

 </dc:description>
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          <dc:title>All-optical structuring of laser-driven proton beam profiles data sets</dc:title>
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        <datestamp>2019-07-03T13:43:05Z</datestamp>
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          <dc:creator>Huebl, Axel</dc:creator>
          <dc:creator>Widera, René</dc:creator>
          <dc:creator>Garten, Marco</dc:creator>
          <dc:creator>Pausch, Richard</dc:creator>
          <dc:creator>Steiniger, Klaus</dc:creator>
          <dc:creator>Bastrakov, Sergei</dc:creator>
          <dc:creator>Meyer, Felix</dc:creator>
          <dc:creator>Bastrakova, Ksenia</dc:creator>
          <dc:creator>Debus, Alexander</dc:creator>
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          <dc:creator>Werner, Matthias</dc:creator>
          <dc:creator>Worpitz, Benjamin</dc:creator>
          <dc:creator>Matthes, Alexander</dc:creator>
          <dc:creator>Rudat, Sophie</dc:creator>
          <dc:creator>Starke, Sebastian</dc:creator>
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          <dc:date>2019-06-13</dc:date>
          <dc:description>PIConGPU is an open source, multi-platform particle-in-cell code scaling to the fastest supercomputers in the TOP500 list. We present the architecture, novel developments, and workflows that enable high-precision, fast turn-around computations on Exascale-machines. Furthermore, we present our strategies to handle extreme data flows from thousands of GPUs for analysis with in situ processing and open data formats (openPMD). PIConGPU is since recently furthermore natively controlled by a Python Jupyter interface and we research just-in-time kernel generation for C++ with our Cling-CUDA extensions.</dc:description>
          <dc:description>Invited minisymposium talk at the Platform for Advanced Scientific Computing (PASC) Conference (PASC19) at ETH Zurich (Zurich, Switzerland).</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/131</dc:identifier>
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          <dc:identifier>oai:rodare.hzdr.de:131</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-29351</dc:relation>
          <dc:relation>doi:10.14278/rodare.130</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>LPA</dc:subject>
          <dc:subject>laser-plasma</dc:subject>
          <dc:subject>particle-in-cell</dc:subject>
          <dc:subject>HPC</dc:subject>
          <dc:subject>manycore</dc:subject>
          <dc:subject>GPU</dc:subject>
          <dc:subject>simulation</dc:subject>
          <dc:subject>interactive</dc:subject>
          <dc:subject>big data</dc:subject>
          <dc:title>Scalable, Data Driven Plasma Simulations with PIConGPU</dc:title>
          <dc:type>info:eu-repo/semantics/lecture</dc:type>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:151</identifier>
        <datestamp>2019-09-05T11:43:19Z</datestamp>
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          <dc:creator>Debus, Alexander</dc:creator>
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          <dc:creator>Pausch, Richard</dc:creator>
          <dc:creator>Huebl, Axel</dc:creator>
          <dc:creator>Widera, Rene</dc:creator>
          <dc:date>2019-09-04</dc:date>
          <dc:description>The input sets of the simulations as used in the publication "Circumventing the Dephasing and Depletion Limits of Laser-Wakefield Acceleration" by A. Debus et al. .

The input sets include TWEAC scenarios, the LWFA scenario and the laser-propagation scenario of Appendix D. The src-directories include custom additions to the PIConGPU source code.

The simulations were run using the beta-rc6, 0.3.1, and 0.4.0 releases of PIConGPU (see DOI: 10.5281/zenodo.591746). The input sets are shown according to the respective PIConGPU version used in the original simulation. However, for running the simulations we recommend adapting the input sets to the 0.4.0 release.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/151</dc:identifier>
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          <dc:relation>url:https://www.hzdr.de/publications/Publ-29625</dc:relation>
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          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>Optics</dc:subject>
          <dc:subject>Photonics</dc:subject>
          <dc:subject>Plasma Physics</dc:subject>
          <dc:title>PIConGPU simulation settings for TWEAC</dc:title>
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          <dc:creator>Brevis, Felipe</dc:creator>
          <dc:creator>Landeros, Pedro</dc:creator>
          <dc:creator>Lindner, Jürgen</dc:creator>
          <dc:creator>Kakay, Attila</dc:creator>
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          <dc:date>2024-10-17</dc:date>
          <dc:description>This archive contains the raw data as well as the Tetrax (www.tetrax.software) Jupyter notebooks to produce the data that has been analyzed and used for the manuscript: Curvature-induced parity loss and hybridization of magnons: Exploring the connection of flat and tubular magnetic shells, Physical Review B 110, 134428 (2024), published on 17 October, 2024.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/3233</dc:identifier>
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          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>curvature-induced</dc:subject>
          <dc:subject>spin waves</dc:subject>
          <dc:subject>mignons</dc:subject>
          <dc:subject>hybridization</dc:subject>
          <dc:subject>parity</dc:subject>
          <dc:title>Data publication: Curvature-induced parity loss and hybridization of magnons: Exploring the connection of flat and tubular magnetic shells</dc:title>
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          <dc:creator>Schilz, Joshua Dietrich</dc:creator>
          <dc:creator>Bodenstein, Elisabeth</dc:creator>
          <dc:creator>Brack, Florian-Emanuel</dc:creator>
          <dc:creator>Horst, Felix</dc:creator>
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          <dc:creator>Kroll, Florian</dc:creator>
          <dc:creator>Pawelke, Jörg</dc:creator>
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          <dc:description>All necessary Data to recreate the published plots and images in the publication: "Absolute energy-dependent scintillating screen calibration for real-time detection of laser-accelerated proton bunches". Included are the raw scintillating screen images, the plotting data and Python Scripts used for calculations and plotting.</dc:description>
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DOI: 10.1038/s41467-020-16133-8</dc:description>
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          <dc:description>Measured synchrotron data and calculated thermal evaluation during irradiation with the laser pulse.</dc:description>
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          <dc:subject>Syncrotron data</dc:subject>
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        <identifier>oai:rodare.hzdr.de:4653</identifier>
        <datestamp>2026-06-02T09:35:49Z</datestamp>
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          <dc:contributor>Nihei, Anastasiia</dc:contributor>
          <dc:contributor>Barnowsky, Tom</dc:contributor>
          <dc:contributor>Friedrich, Rico</dc:contributor>
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          <dc:description>This dataset includes the primary research data for the publication "Non-van der Waals Heterostructures" by A. Nihei, T. Barnowsky, and R. Friedrich. The dataset encompasses all heterostructure calculations performed in the study.

Repository Structure

The dataset is systematically organized into four primary directories:

Diamagnetic_diamagnetic/ – Contains computational results for heterostructures composed of two diamagnetic components.
Diamagnetic_magnetic/ – Contains computational results for heterostructures comprising one diamagnetic and one magnetic component.
Magnetic_magnetic/ – Contains computational results for systems consisting of two magnetic components.
Supplementary/ - Contains additional computations that complement the main heterostructure datasets:

    - Convergence_Test/ - Contains convergence tests with respect to k-point density. It includes calculations for structural relaxation (relax_convergence) and for static and band structure evaluations (bands_dos_convergence). The folder naming convention reflects the k-point sampling in the xy-plane: for instance, a folder labeled 3 corresponds to a 3×3×1 k-point grid.

    - HSE06/ - Contains computational results of electronic band structure and density of states (BANDS_DOS) or only static runs (SCF_Only) for heterostructures and single layers calculated with the HSE06 functional.
    - Reference/ – Contains computational results for graphene homobilayer systems.
    - Shifted_Fe2O3_MgTiO3/ - Contains computational results for 9×9 grid of calculations for possible shifts in the Fe2O3_MgTiO3 heterostructure.
    - Strain_Effect/ - Contains computational results for single layers with a cell strained as in the HS, but relaxed atomic structure.


Naming Conventions

Each heterostructure is identified by a systematic naming scheme, structured as follows:

Component1_Component2_NumberOfAtoms_TwistAngle_Strain_Functional

, where

NumberOfAtoms - Total number of atoms in the unit cell
TwistAngle – Twist angle (degrees) between 2D components
Strain – Initial strain applied to individual components in the resulting heterostructure
Functional – Exchange-correlation functional and theoretical level employed (plain PBE(+U), PBE(+U)+D3, SCAN+rVV10)

Each shifted Fe2O3_MgTiO3 heterostructure is identified by a systematic naming scheme, structured as follows:

Shift_x_y

, where inner Fe cation is shifted by (x;y) grid points from the origin (the shifts in x and y directions are changed by the increment of 1/9 of the lattice constant).


Computational Data Organization

Structural relaxation steps and convergence results are stored within the main directory named according to the previously defined convention for the heterostructure.
Each system directory contains the following subdirectories:

BANDS_DOS/ – Computed electronic band structures and density of states (DOS). Only density of states (DOS) is available for SCAN+rVV10 and some PBE(+U)+D3 calculations.
density_difference/ (if present) – Charge density difference calculations, where charge densities of static calculations of individual systems were subtracted from the heterostructure charge density.
PARCHG/ (if present) – Partial charge density calculations for specified bands.
PHONONS/ (if present) - Phonon band structure data stored in JSON format.


Additional Considerations

Large-scale systems – Calculations for extended systems with up to 140 atoms are included.

Fe2O3_MgTiO3 twisted systems – The initial aflow.in (260 atoms) files and computational results (140 atoms) for these large systems are located in the Fe2O3_MgTiO3 directory under Diamagnetic_magnetic/.


Methodology

The monolayer structures used in this study originate from two previous publications [1,2].

The primary data for this systems can be obtained via the following links:

https://doi.org/10.14278/rodare.1421
https://doi.org/10.14278/rodare.1852

All heterostructures are generated by a custom “hetbuilder” implementation of the coincidence lattice method within the AFLOW software for materials design [3].  The AFLOW internal automatic determination of k-point sets is used in conjunction with an extension for 2D systems enabling only in-plane sampling. Further information will be available in the publication [4].

Most calculations were carried out using the AFLOW framework, which automated the execution of VASP calculations [5-9]. Partial charge density and HSE06 calculations were executed exclusively with VASP, independent of AFLOW. HSE06 runs were preformed using the pre-relaxed PBE(+U) structures. Shifted Fe2O3_MgTiO3 heterostructures were only vertically relaxed via selective dynamics.

The dataset enables reproducibility of the results presented in the associated publication.</dc:description>
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          <dc:subject>2D materials</dc:subject>
          <dc:subject>non-van der Waals compounds</dc:subject>
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          <dc:subject>interface design</dc:subject>
          <dc:subject>magnetism</dc:subject>
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          <dc:creator>Kozlov, Oleksii</dc:creator>
          <dc:creator>Sorokin, Serhii</dc:creator>
          <dc:creator>Zhou, Shengqiang</dc:creator>
          <dc:creator>Lindner, Jürgen</dc:creator>
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          <dc:creator>Kravets, Anatolii</dc:creator>
          <dc:creator>Polishchuk, Dmytro</dc:creator>
          <dc:creator>Korenivski, Vladislav</dc:creator>
          <dc:date>2023-08-04</dc:date>
          <dc:description>This dataset contains the experimental and analytical data used and discussed in the publication "All-Electrical Operation of a Curie Switch at Room Temperature" (Phys. Rev. Applied 20, 024009 – Published 3 August 2023).</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2420</dc:identifier>
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          <dc:identifier>oai:rodare.hzdr.de:2420</dc:identifier>
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          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>Magnetoresistance</dc:subject>
          <dc:subject>Magnetic hysteresis</dc:subject>
          <dc:subject>Vibrating sample magnetometry</dc:subject>
          <dc:subject>Spin valve</dc:subject>
          <dc:subject>Thermomagnetic effects</dc:subject>
          <dc:subject>RKKY interaction</dc:subject>
          <dc:title>Data publication: All-electrical operation of a Curie switch at room temperature</dc:title>
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        <identifier>oai:rodare.hzdr.de:3346</identifier>
        <datestamp>2025-10-22T03:06:32Z</datestamp>
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          <dc:creator>El-Said, Ayman S.</dc:creator>
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          <dc:description>Data for the manuscript "Fine_Tuning_of_Optical_Properties_by_Selective_Stopping_of_Energetic_Heavy_Ions" by

Ayman S. El-Said, Zamzam Ibnu-Sina, Shavkat Akhmadaliev, René Heller ,René Hübner, Michael Sorokin, Stefan Facsko and Christina Trautmann

 raw data for:

- optical UV-VIS measurements

- RBS measurements

- SRIM simulations

- TEM images</dc:description>
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        <identifier>oai:rodare.hzdr.de:3418</identifier>
        <datestamp>2025-01-21T15:02:34Z</datestamp>
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          <dc:contributor>Feng, Liwen</dc:contributor>
          <dc:contributor>Kaiser, Stefan</dc:contributor>
          <dc:creator>Deinert, Jan-Christoph</dc:creator>
          <dc:creator>Kovalev, Sergey</dc:creator>
          <dc:date>2025-01-21</dc:date>
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The data for our NbSe2 paper were primarily collected during the beamtime starting on 2022-05-08 and 2021-08-11. Below are the specific details:

(1) Figure 1:

The data are from the beamtime starting on 2022-05-08:

File numbers 046 to 064, measured on 2022-05-09.
File numbers 093 to 108, measured on 2022-05-10.

(2) Figure 2:

he data are from the beamtime starting on 2021-08-11:

File numbers 038 to 069, measured on 2021-08-14.

files: From "038_300GHz_NbSe2-flake_WG90_gain20_2p79K_THG_20mW.0" to "069_300GHz_NbSe2-flake_WG90_gain20_44p6K_THG_21mW.0".


(3) Figure 3:

The data are also from the beamtime starting on 2021-08-11:

File numbers 01 to 22, measured on 2021-08-15.

files: From "01_Polarization_75K_W3_0_W2_45_Wsample_05.0" to "32_Polarization_4K_W3_90_W2_44_Wsample_05.0".
 </dc:description>
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          <dc:relation>doi:10.17815/jlsrf-2-58</dc:relation>
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          <dc:subject>Terahertz</dc:subject>
          <dc:subject>Higgs spectroscopy</dc:subject>
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          <dc:subject>TELBE</dc:subject>
          <dc:title>Primary experimental data: Dynamical interplay between superconductivity and charge density waves: A nonlinear terahertz study of coherently driven 2H−NbSe2</dc:title>
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        <identifier>oai:rodare.hzdr.de:2666</identifier>
        <datestamp>2025-04-07T13:37:37Z</datestamp>
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          <dc:creator>Banhart, John</dc:creator>
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          <dc:creator>Guo, Qianning</dc:creator>
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          <dc:creator>Liedke, Maciej Oskar</dc:creator>
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          <dc:creator>Wagner, Andreas</dc:creator>
          <dc:date>2023-08-24</dc:date>
          <dc:description>Experimentdaten der Positronen-Annihilationsspektroskopie</dc:description>
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          <dc:subject>positron annihilation lifetime spectroscopy</dc:subject>
          <dc:subject>Al-Mg</dc:subject>
          <dc:subject>alloy</dc:subject>
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          <dc:subject>vacancy</dc:subject>
          <dc:title>Data publication: In Situ Heating Positron Annihilation Lifetime Spectroscopy Experiments on an Al–Mg Alloy</dc:title>
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          <dc:creator>Friedrich, Rico</dc:creator>
          <dc:date>2024-01-16</dc:date>
          <dc:description>This dataset includes the primary research data for the publication "Magnetic State Control of Non-van der Waals 2D Materials by Hydrogenation".</dc:description>
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          <dc:subject>data-driven research</dc:subject>
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          <dc:date>2025-12-15</dc:date>
          <dc:description>This dataset simple_ARES.csv was generated with the open-source cheetah simulator for didactical purposes. &#13;
&#13;
To reproduce the dataset, do the following in a python 3.12 environment:&#13;
&#13;
1. source .venv/bin/activate&#13;
&#13;
2. uv sync&#13;
&#13;
3. python ./generate_simple.py # or execute all cells in ./generate_simple.ipynb</dc:description>
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          <dc:subject>density functional theory</dc:subject>
          <dc:title>Accelerating Finite-temperature Kohn-Sham Density Functional Theory with Deep Neural Networks</dc:title>
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For details on usage or maintenance please contact Dr. Attila Kákay at a.kakay@hzdr.de</dc:description>
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          <dc:date>2025-11-21</dc:date>
          <dc:description>We provide data tables for element abundances from cosmic stellar sources compared those from a heavy-element freeze-out (HEFO) nonequilibrium thermal model.</dc:description>
          <dc:description>The production of these data was supported by Polish NCN under grant No. 2021/43/P/ST2/03319, by a honorary stipend from the Foundation for Polish Science within the Alexander von Humboldt program under grant No. DPN/JJL/402-4773/2022, by the Klaus Tschira Foundation, by the Deutsche Forschungsgemeinschaft (DFG, German Research Foundation) – RO 3676/7-1, project486 number 537700965, and by the European Union (ERC, ExCEED, project number 101096243).</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/4149</dc:identifier>
          <dc:identifier>10.14278/rodare.4149</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:4149</dc:identifier>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-42273</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-42129</dc:relation>
          <dc:relation>doi:10.14278/rodare.4148</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>nucleosynthesis</dc:subject>
          <dc:subject>r-process</dc:subject>
          <dc:subject>solar abundances</dc:subject>
          <dc:subject>mass fractions of heavy nuclei</dc:subject>
          <dc:subject>galactic chemical evolution</dc:subject>
          <dc:title>Data publication: Universality of heavy r-process element abundances from a freeze-out model</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:4661</identifier>
        <datestamp>2026-05-20T07:50:36Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-fwi</setSpec>
        <setSpec>user-hzdr</setSpec>
        <setSpec>user-ibc</setSpec>
        <setSpec>user-rodare</setSpec>
        <setSpec>user-elbe</setSpec>
        <setSpec>user-matter</setSpec>
        <setSpec>user-telbe</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Jin, Kang</dc:creator>
          <dc:creator>Kober, Steffen</dc:creator>
          <dc:creator>Ilyakov, Igor</dc:creator>
          <dc:creator>Deinert, Jan-Christoph</dc:creator>
          <dc:creator>Lindner, Aleksandra Alicja</dc:creator>
          <dc:creator>Hübner, René</dc:creator>
          <dc:creator>Narkovic, Rysard</dc:creator>
          <dc:creator>Reinold, Anneke</dc:creator>
          <dc:creator>Pilch, Patrick</dc:creator>
          <dc:creator>Ponomaryov, Alexey</dc:creator>
          <dc:creator>de Oliveira, Thales</dc:creator>
          <dc:creator>Hellwig, Olav</dc:creator>
          <dc:creator>Faßbender, Jürgen</dc:creator>
          <dc:creator>Wang, Zhe</dc:creator>
          <dc:creator>Lindner, Jürgen</dc:creator>
          <dc:creator>Mährlein, Sebastian Frederick</dc:creator>
          <dc:creator>Kovalev, Sergey</dc:creator>
          <dc:creator>Salikhov, Ruslan</dc:creator>
          <dc:date>2026-05-13</dc:date>
          <dc:description>Data set accompanying the manuscript "Ultrafast spin–orbit torques and spin–charge interconversion at oxidation‑tailored NiFe/oxide interfaces."

It contains:


	Time‑resolved Faraday‑rotation traces for ultrafast SOT and PSSW measurements (main text Fig. 1; Supplementary Figs. S2, S3), recorded for opposite magnetic‑field directions and both front‑ and back‑side THz illumination.
	Time‑resolved spintronic THz second‑harmonic generation (ST‑SHG) traces and their processed (band‑pass‑filtered) counterparts (Figs. 2,3; Supplementary Figs. S5, S6), including measurements for different capping oxides and reference Py/Pt samples.
	THz emission waveforms for laser‑driven spintronic THz emitters (Fig. 3; Supplementary Fig. S7), recorded for opposite magnetization directions.
	Ultrafast unidirectional spin Hall magnetoresistance (USMR) measured in the form of second‑harmonic generation (USMR‑SHG; Supplementary Fig. S8), recorded for opposite magnetization directions.
	STEM–EDXS line‑profile data for interfacial oxidation analysis (Fig. 4).
	THz transmission data used to extract THz‑induced current densities (Supplementary Figs. S9; Supplementary Tables S2, S3).


Each data file is accompanied by a brief description of the sample, geometry, and measurement conditions.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/4661</dc:identifier>
          <dc:identifier>10.14278/rodare.4661</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:4661</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-43394</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-43392</dc:relation>
          <dc:relation>doi:10.14278/rodare.4660</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/elbe</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/fwi</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/ibc</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/telbe</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>THz spintronics</dc:subject>
          <dc:subject>Ultrafast spin-orbit torques</dc:subject>
          <dc:subject>Single ferromagnetic layer torque</dc:subject>
          <dc:subject>Ultrafast spin-to-charge interconversion</dc:subject>
          <dc:subject>spin/orbit Rashba-Edelstein effects</dc:subject>
          <dc:title>Ultrafast spin-orbit torques and spin-charge interconversion at oxidation-tailored NiFe/oxide interfaces</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:4687</identifier>
        <datestamp>2026-06-09T16:05:27Z</datestamp>
        <setSpec>software</setSpec>
        <setSpec>user-crc1415</setSpec>
        <setSpec>user-fwi</setSpec>
        <setSpec>user-ibc</setSpec>
        <setSpec>user-matter</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
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          <dc:creator>Barnowsky, Tom</dc:creator>
          <dc:creator>Friedrich, Rico</dc:creator>
          <dc:date>2026-06-02</dc:date>
          <dc:description>FINDSLAB: Software for Exfoliation and Cleavage of Crystals

Tom Barnowsky &amp; Rico Friedrich
Technische Universität Dresden &amp; Helmholtz-Zentrum Dresden-Rossendorf, Germany

This program implements the XCP method to identify 2D materials from bulk materials by estimating bonding energies using a two-body potential model [1].

Potential Models

The code supports a range of two-body potential parametrizations \(V(r)\), namely:


	Lennard-Jones + Yukawa
	Morse + Yukawa
	Mie + Yukawa


Parameters are provided as plain text files which are specified via the environment variable `FINDSLAB_POTDATA`. Note that all energies have to be multiplied by a factor two to compare to surface/bonding energies.

Build

Run `make` serially (without `-j n`). A binary will be created in the `bin` directory.

Requirements: a recent Fortran compiler, BLAS and LAPACK.

Usage

FINDSLAB provides some instructions when running `findslab --help`.

The code is designed to work with VASP POSCAR files, however, the reader is not fully general and expects the formatting as it is found in the AFLOW database (aflow.org) [2]. To convert general structure files (including those from other codes) to this format, use the AFLOW software to run `aflow --vasp`. The aflow code is available at github.com/aflow-org/aflow.

Here we provide an example code to determine HKLSEARCH slabs from bulk Ca3N2 retrieved via the AFLOW REST API [3]:

export FINDSLAB_POTDATA=&lt;path to file&gt;
export OPENBLAS_NUM_THREADS=1
curl http://aflowlib.duke.edu/AFLOWDATA/ICSD_WEB/HEX/Ca3N2_ICSD_169727/CONTCAR.relax.vasp |
    aflow --sconv |
    findslab --hklsearch

Conversion to the conventional unit cell via `aflow --sconv` is optional and is only used here to relate Miller indices to the conventional cell.

Release Notes


	v1.1: Included Morse+Yukawa potential data with code. Fixed crashes occurring at very low spacing between parallel high-index lattice planes.
	v1.0: Initial release.


Acknowledgements

The authors thank Carsten Timm, Steve Schmerler, and Moritz Leucke for fruitful discussions. Parts of this work are based on an implementation for creating Miller planes from the atomic simulation environment (ASE) [4].  Additionally, we implement the criterion of Mounet et al. [5] to identify van der Waals-bound layers in bulk structures.

License

This dataset is published under the Apache 4.0 license. We kindly ask works based on this software to cite this entry and/or the associated publication.</dc:description>
          <dc:description>FINDSLAB provides the calculation backend for xcp.hzdr.de, which offers an interactive interface to explore the implemented approaches.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/4687</dc:identifier>
          <dc:identifier>10.14278/rodare.4687</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:4687</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.1007/s44210-025-00058-2</dc:relation>
          <dc:relation>doi:10.1016/j.commatsci.2014.05.014</dc:relation>
          <dc:relation>doi:10.1088/1361-648X/aa680e</dc:relation>
          <dc:relation>doi:10.1038/s41565-017-0035-5</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-42447</dc:relation>
          <dc:relation>doi:10.48550/arXiv.2512.16721</dc:relation>
          <dc:relation>doi:10.14278/rodare.4180</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/crc1415</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/fwi</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/ibc</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://opensource.org/licenses/Apache-2.0</dc:rights>
          <dc:subject>2D materials</dc:subject>
          <dc:subject>non-van der Waals compounds</dc:subject>
          <dc:subject>computational materials science</dc:subject>
          <dc:title>FINDSLAB: Software for Exfoliation and Cleavage of Crystals</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>software</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:116</identifier>
        <datestamp>2019-03-06T14:02:35Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-ecfunded</setSpec>
        <setSpec>user-health</setSpec>
        <setSpec>user-hzdr</setSpec>
        <setSpec>user-matter</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Huebl, Axel</dc:creator>
          <dc:creator>Rehwald, Martin</dc:creator>
          <dc:creator>Obst-Huebl, Lieselotte</dc:creator>
          <dc:creator>Ziegler, Tim</dc:creator>
          <dc:creator>Garten, Marco</dc:creator>
          <dc:creator>Widera, René</dc:creator>
          <dc:creator>Zeil, Karl</dc:creator>
          <dc:creator>Cowan, Thomas E.</dc:creator>
          <dc:creator>Bussmann, Michael</dc:creator>
          <dc:creator>Schramm, Ulrich</dc:creator>
          <dc:creator>Kluge, Thomas</dc:creator>
          <dc:date>2019-03-06</dc:date>
          <dc:description>Supplementary materials for our paper "Spectral Control via Multi-Species Effects in PW-Class Laser-Ion Acceleration".

Additional high-resolution, raw HDF5 files using the openPMD standard (DOI:10.5281/zenodo.1167843) increase simulation output data to 4.7 TByte and are available from the corresponding author upon reasonable request. </dc:description>
          <dc:description>This project received funding within the MEPHISTO project (BMBF-Förderkennzeichen 01IH16006C).</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/116</dc:identifier>
          <dc:identifier>10.14278/rodare.116</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:116</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>info:eu-repo/grantAgreement/EC/H2020/654148/</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-28969</dc:relation>
          <dc:relation>doi:10.14278/rodare.115</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/ecfunded</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/health</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by-sa/4.0/legalcode</dc:rights>
          <dc:subject>LPA</dc:subject>
          <dc:subject>laser-ion acceleration</dc:subject>
          <dc:subject>TNSA</dc:subject>
          <dc:subject>multi-species</dc:subject>
          <dc:subject>cryogenic target</dc:subject>
          <dc:subject>particle-in-cell</dc:subject>
          <dc:title>Supplementary Data: Spectral Control via Multi-Species Effects in PW-Class Laser-Ion Acceleration</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:330</identifier>
        <datestamp>2024-08-13T12:21:42Z</datestamp>
        <setSpec>user-matter</setSpec>
        <setSpec>user-hzdr</setSpec>
        <setSpec>user-rodare</setSpec>
        <setSpec>user-fwi</setSpec>
        <setSpec>user-ibc</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Huang, Tao</dc:creator>
          <dc:creator>Gobeil, Sophie</dc:creator>
          <dc:creator>Wang, Xu</dc:creator>
          <dc:creator>Misko, Vyacheslav</dc:creator>
          <dc:creator>Nori, Franco</dc:creator>
          <dc:creator>Malsche, Wim de</dc:creator>
          <dc:creator>Faßbender, Jürgen</dc:creator>
          <dc:creator>Makarov, Denys</dc:creator>
          <dc:creator>Cuniberti, Gianaurelio</dc:creator>
          <dc:creator>Baraban, Larysa</dc:creator>
          <dc:date>2020-05-18</dc:date>
          <dc:description>Synthetic nano- and micromotors interact with each other and their surroundings in a complex manner. Here, we report on the anisotropy of active-passive particle interaction in a soft matter system containing an immobile yet photochemical Ag/AgCl-based Janus particle embedded in a dense matrix of passive beads in pure water. The asymmetry in the chemical gradient around the Janus particle, triggered upon visible light illumination, distorts the isotropy of the surrounding electric potential and results in the repulsion of adjacent passive beads to a certain distance away from the Janus particle. This exclusion effect is found to be anisotropic with larger distances to passive beads in front of the Ag/AgCl cap of the Janus particle. We provide insight into this phenomenon by performing the angular analysis of the radii of exclusion and tracking their time evolution at the level of a single bead. Our study provides a novel fundamental insight into the collective behavior of a complex mixture of active and passive particles and is relevant for various application scenarios, e.g., particle transport at micro- and nanoscale and local chemical sensing.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/330</dc:identifier>
          <dc:identifier>10.14278/rodare.330</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:330</dc:identifier>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-30943</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-31046</dc:relation>
          <dc:relation>doi:10.14278/rodare.329</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/fwi</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/ibc</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>photocatalytic reaction</dc:subject>
          <dc:subject>micro and nanomotors</dc:subject>
          <dc:subject>visible light</dc:subject>
          <dc:subject>active Janus particles</dc:subject>
          <dc:subject>spherical colloidal particles</dc:subject>
          <dc:subject>exclusion phenomena</dc:subject>
          <dc:title>Anisotropic exclusion effect between photocatalytic Ag/AgCl Janus particles and passive beads in a dense colloidal matrix</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>video</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:296</identifier>
        <datestamp>2020-10-30T12:56:10Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-energy</setSpec>
        <setSpec>user-hzdr</setSpec>
        <setSpec>user-matter</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Estevenon, Paul</dc:creator>
          <dc:creator>Welcomme, Eléonore</dc:creator>
          <dc:creator>Tamain, Christelle</dc:creator>
          <dc:creator>Jouan, Gauthier</dc:creator>
          <dc:creator>Szenknect, Stéphanie</dc:creator>
          <dc:creator>Mesbah, Adel</dc:creator>
          <dc:creator>Poinssot, Christophe</dc:creator>
          <dc:creator>Moisy, Philippe</dc:creator>
          <dc:creator>Dacheux, Nicolas</dc:creator>
          <dc:date>2020-04-20</dc:date>
          <dc:description>Attempts to synthesize plutonium (IV) silicate, PuSiO4, have been performed on the basis of the results recently reported in the literature for CeSiO4, ThSiO4 and USiO4 under hydrothermal conditions. Although it was not possible to prepare PuSiO4 by applying the conditions reported for thorium and uranium, an efficient way of PuSiO4 synthesis was established following those optimized for CeSiO4 system. This method was based on the slow oxidation of plutonium (III) silicate reactants under hydrothermal conditions at 150°C in hydrochloric acid (pH = 3 – 4). This result shed a new light on the potential behavior of plutonium in reductive environment, highlighted the representativeness of cerium surrogates to study plutonium in such conditions and brought some important pieces of information on plutonium chemistry in silicate solutions.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/296</dc:identifier>
          <dc:identifier>10.14278/rodare.296</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:296</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-31040</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-30869</dc:relation>
          <dc:relation>doi:10.14278/rodare.295</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/energy</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/closedAccess</dc:rights>
          <dc:title>Formation of PuSiO4 under hydrothermal conditions</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:409</identifier>
        <datestamp>2023-02-16T07:55:11Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-matter</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Dornheim, Tobias</dc:creator>
          <dc:date>2020-08-03</dc:date>
          <dc:description>This repository contains the PIMC raw data for the actual density response of the harmonically perturbed electron gas.&#13;
&#13;
&#13;
&#13;
The data can be freely re-used. Please cite:&#13;
&#13;
T. Dornheim, J. Vorberger, and M. Bonitz, Nonlinear Electronic Density Response in Warm Dense Matter, Phys. Rev. Lett. (in press), arXiv:2004.03229</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/409</dc:identifier>
          <dc:identifier>10.14278/rodare.409</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:409</dc:identifier>
          <dc:relation>arxiv:arXiv:2004.03229</dc:relation>
          <dc:relation>doi:10.1103/PhysRevLett.125.085001</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-31390</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-31377</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>PIMC</dc:subject>
          <dc:subject>density response</dc:subject>
          <dc:subject>warm dense matter</dc:subject>
          <dc:title>PIMC data for the nonlinear electronic density response in warm-dense matter (WDM)</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:753</identifier>
        <datestamp>2021-01-20T13:23:22Z</datestamp>
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          <dc:creator>Fouilloux, Anne</dc:creator>
          <dc:creator>Steinbach, Peter</dc:creator>
          <dc:date>2020-09-08</dc:date>
          <dc:description>This talk summarizes the experiences made with teaching Machine Learning within compact events that stretch over several days to a week maximum. Both speakers explain pitfalls they were caught in as well as solutions they found.

This talk was given at the Teaching Machine Learning workshop at ECML-PKDD 2020. For more details and information see https://teaching-ml.github.io/2020/</dc:description>
          <dc:description>The talk was created in a collaborative fashion on hackmd.io Therefor this contains the final pdf of the slides and the markdown file.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/753</dc:identifier>
          <dc:identifier>10.14278/rodare.753</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:753</dc:identifier>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-32121</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>teaching</dc:subject>
          <dc:subject>compact courses</dc:subject>
          <dc:subject>machine learning</dc:subject>
          <dc:subject>artificial intelligence</dc:subject>
          <dc:title>Teaching ML in Compact Courses</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>other</dc:type>
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      <header>
        <identifier>oai:rodare.hzdr.de:1511</identifier>
        <datestamp>2022-04-05T09:40:36Z</datestamp>
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          <dc:creator>Steiniger, Klaus</dc:creator>
          <dc:creator>Widera, René</dc:creator>
          <dc:creator>Young, Jeff</dc:creator>
          <dc:date>2022-04-01</dc:date>
          <dc:description>Data of the PIConGPU simulations as used in the publication: EZ: An Efficient, Charge Conserving Current Deposition Algorithm for Electromagnetic Particle-In-Cell Simulations

Data overview:


	picongpu_source.zip: 
	
		source code forked from the PIConGPU mainline version 0.7.0-dev
		used input set `share/picongpu/examples/PaperThermal`
	
	
	runs_charge_conservation.zip:
	
		output including hdf5 dumps to validate charge conservation property for the PaperThermal setup (warm plasma)
	
	
	runs_performance.zip:
	
		simulation timings output for Spock CPU, Spock GPU and Summit GPU runs
	
	
	runs_profiling.zip:
	
		profile data for Spock GPU and Summit GPU runs
	
	
	runs_singleParticleTest.zip:
	
		output including hdf5 dumps to validate charge conservation property for the single particle test
	
	
	analysis_scripts.zip: 
	
		jupyter notebooks for setup and analysis of PaperThermal setup
		python script to plot charge conservation from hdf5 simulation output over time
		bash script for statistical analysis of performance runs
	
	


 

 </dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/1511</dc:identifier>
          <dc:identifier>10.14278/rodare.1511</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:1511</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-34475</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-34476</dc:relation>
          <dc:relation>doi:10.14278/rodare.1510</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>EZ</dc:subject>
          <dc:subject>charge conservation</dc:subject>
          <dc:subject>current deposition</dc:subject>
          <dc:subject>PIConGPU</dc:subject>
          <dc:subject>particle-in-cell</dc:subject>
          <dc:subject>profiling</dc:subject>
          <dc:subject>CUDA</dc:subject>
          <dc:subject>HIP</dc:subject>
          <dc:subject>NVIDIA</dc:subject>
          <dc:subject>AMD</dc:subject>
          <dc:subject>Spock</dc:subject>
          <dc:subject>Summit</dc:subject>
          <dc:subject>HPC</dc:subject>
          <dc:title>EZ publication: source code, profiling, analysis and simulation data</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:1210</identifier>
        <datestamp>2024-08-12T13:26:33Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-matter</setSpec>
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        <setSpec>user-fwi</setSpec>
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      </header>
      <metadata>
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          <dc:creator>Erb, Denise</dc:creator>
          <dc:creator>Myint, Peco</dc:creator>
          <dc:creator>Evans-Lutterodt, Kenneth</dc:creator>
          <dc:creator>Ludwig, Karl</dc:creator>
          <dc:creator>Facsko, Stefan</dc:creator>
          <dc:date>2022-12-31</dc:date>
          <dc:description>experimental raw data: in-situ Grazing Incidence Small Angle X-ray Scattering (GISAXS), ex-situ Atomic Force Microscopy (AFM); simulated raw data: surface topography (RIDO)</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/1210</dc:identifier>
          <dc:identifier>10.14278/rodare.1210</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:1210</dc:identifier>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-33171</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-33255</dc:relation>
          <dc:relation>doi:10.14278/rodare.1209</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/fwi</dc:relation>
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          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:title>Data publication: In-situ GISAXS observation of ion-induced nanoscale pattern formation on crystalline Ge(001) in the reverse epitaxy regime</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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        <identifier>oai:rodare.hzdr.de:2677</identifier>
        <datestamp>2024-08-12T09:35:38Z</datestamp>
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      <metadata>
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          <dc:creator>Bejarano, Mauricio</dc:creator>
          <dc:creator>Goncalves, Francisco J. T.</dc:creator>
          <dc:creator>Hache, Toni</dc:creator>
          <dc:creator>Hollenbach, Michael</dc:creator>
          <dc:creator>Heins, Christopher</dc:creator>
          <dc:creator>Hula, Tobias</dc:creator>
          <dc:creator>Körber, Lukas</dc:creator>
          <dc:creator>Heinze, Jakob</dc:creator>
          <dc:creator>Berencen, Yonder</dc:creator>
          <dc:creator>Helm, Manfred</dc:creator>
          <dc:creator>Faßbender, Jürgen</dc:creator>
          <dc:creator>Astakhov, Georgy</dc:creator>
          <dc:creator>Schultheiß, Helmut</dc:creator>
          <dc:date>2024-01-18</dc:date>
          <dc:description>Experimental data was obtained via Brillouin light scattering microscopy and optically-detected magnetic resonance (ODMR) spectroscopy. Complementarily, micromagnetic simulation data was obtained with the program mumax3 and also additional analytical calculations were performed.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2677</dc:identifier>
          <dc:identifier>10.14278/rodare.2677</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:2677</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.17815/jlsrf-3-159</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-38555</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-38554</dc:relation>
          <dc:relation>doi:10.14278/rodare.2676</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/fwi</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/ibc</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>magnons</dc:subject>
          <dc:subject>qubit</dc:subject>
          <dc:subject>ODMR</dc:subject>
          <dc:subject>BLS</dc:subject>
          <dc:title>Data for: Parametric magnon transduction to spin qubits</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:3327</identifier>
        <datestamp>2024-12-11T16:18:52Z</datestamp>
        <setSpec>openaire_data</setSpec>
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        <setSpec>user-matter</setSpec>
        <setSpec>user-pelbe</setSpec>
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      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Wilflingseder, Christoph</dc:creator>
          <dc:creator>Aberl, Johannes</dc:creator>
          <dc:creator>Prado Navarrete, Enrique</dc:creator>
          <dc:creator>Hesser, Guenter</dc:creator>
          <dc:creator>Groiss, Heiko</dc:creator>
          <dc:creator>Liedke, Maciej Oskar</dc:creator>
          <dc:creator>Butterling, Maik</dc:creator>
          <dc:creator>Wagner, Andreas</dc:creator>
          <dc:creator>Hirschmann, Eric</dc:creator>
          <dc:creator>Corley-Wiciak, Cedric</dc:creator>
          <dc:creator>Zoellner, Marvin</dc:creator>
          <dc:creator>Capellini, Giovanni</dc:creator>
          <dc:creator>Fromherz, Thomas</dc:creator>
          <dc:creator>Brehm, Moritz</dc:creator>
          <dc:date>2024-12-11</dc:date>
          <dc:description>The data set consists of the raw and analysis data. Positron annihilation lifetime spectroscopy depth profiles were measured at the positron ELBE during the PI beamtime on November 2023 (POS23203233). MBE deposited Ge layers at temperatures of 100°C - 350°C have been evaluated concerning defect microstructure. The most dominant defect, namely Ge vacancy, has been evidenced independently on the temperature conditions. The results support the main claim of the manuscript, feasibility of the low temperature growth approach to Ge.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/3327</dc:identifier>
          <dc:identifier>10.14278/rodare.3327</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:3327</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.17815/jlsrf-2-58</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-40173</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-40037</dc:relation>
          <dc:relation>doi:10.14278/rodare.3326</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/elbe</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
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          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>Germanium</dc:subject>
          <dc:subject>defects</dc:subject>
          <dc:subject>positron annihilation spectroscopy</dc:subject>
          <dc:subject>MBE</dc:subject>
          <dc:subject>low temperature growth</dc:subject>
          <dc:subject>Ge-vacancy</dc:subject>
          <dc:title>Data publication: Ge epitaxy at ultra-low growth temperatures enabled by a pristine growth environment</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:2361</identifier>
        <datestamp>2024-08-12T07:59:56Z</datestamp>
        <setSpec>software</setSpec>
        <setSpec>user-matter</setSpec>
        <setSpec>user-rodare</setSpec>
        <setSpec>user-elbe</setSpec>
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          <dc:creator>Pausch, Richard</dc:creator>
          <dc:creator>Chang, Yen-Yu</dc:creator>
          <dc:date>2023-07-03</dc:date>
          <dc:description>This repository contains the exact PIConGPU version used for all simulations in the paper "Reduction of the electron beam divergence of laser wakefield-accelerators by integrated plasma lenses" and both setups for the case with and without plasma lens.

Here, only the authors of the setup are listed. PIConGPU has many more authors that can be found under: https://github.com/ComputationalRadiationPhysics/picongpu or (latest stable release: https://doi.org/10.5281/zenodo.5795557)</dc:description>
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          <dc:rights>https://opensource.org/licenses/LGPL-3.0</dc:rights>
          <dc:subject>PIConGPU</dc:subject>
          <dc:subject>LWFA</dc:subject>
          <dc:subject>plasma lens</dc:subject>
          <dc:title>Simulation code (PIConGPU) and setup for: Reduction of the electron beam divergence of laser wakefield-accelerators by integrated plasma lenses</dc:title>
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        <datestamp>2026-06-02T09:35:49Z</datestamp>
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          <dc:contributor>Nihei, Anastasiia</dc:contributor>
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          <dc:creator>Friedrich, Rico</dc:creator>
          <dc:date>2025-03-10</dc:date>
          <dc:description>This dataset includes the primary research data for the publication "Non-van der Waals Heterostructures".</dc:description>
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          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>2D materials</dc:subject>
          <dc:subject>non-van der Waals compounds</dc:subject>
          <dc:subject>heterostructures</dc:subject>
          <dc:subject>interface design</dc:subject>
          <dc:subject>magnetism</dc:subject>
          <dc:subject>data-driven research</dc:subject>
          <dc:subject>computational materials science</dc:subject>
          <dc:subject>high-throughput computing</dc:subject>
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        <datestamp>2025-01-29T12:54:14Z</datestamp>
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Notes:
 - A few energies are given as identically zero. These are not actually zero but did not converge.
 - All data is given in the units in which it appears in the paper, and columns are labelled using the same notation as in the paper.</dc:description>
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[1] Pospelov, G., Van Herck, W., Burle, J., Carmona Loaiza, J.M., Durniak, C., Fisher, J., Ganeva, M., Yurov, D., &amp; Wuttke, J. (2020). BornAgain: software for simulating and fitting grazing-incidence small-angle scattering. Journal of Applied Crystallography, 53, 262 - 276.</dc:description>
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          <dc:description>Strain engineering is a powerful tool for designing nanowires with tailored properties for a variety of applications. By carefully controlling the built-in strain in nanowires, it is possible to tune their bandgap to the near-infrared region, making them ideal for applications in telecommunication and imaging. In our previous work, we demonstrated that in GaAs/In x Al 1-x As core/shell nanowires, the bandgap of the core can be narrowed by up to 40%, for x up to 0.54, via strain due to the lattice mismatch between the shell [1]. Here, we explored the upper end of the lattice mismatch regime, extending the same concept to the contents of the shell towards x = 1, achieving unusually high strain values. The strain in the core and its effect on band structure are studied by a combination of spectroscopic methods and high-resolution transmission and scanning-transmission electron microscopy (HR(S)TEM). Raman spectroscopy showed that the tensile strain in the GaAs core increased linearly with increasing the In content in the shell (Fig. 1a), following the trend we reported in the past for lower values of x [1]. This behavior suggests the absence of plastic relaxation despite the very large lattice mismatch between the core and the shell. Using cross-sectional and longitudinal HR(S)TEM observations, we assessed the strain distribution normal and along the nanowire axis (Figs. 1b to 1d), which was found to be in good agreement with finite element and molecular dynamics simulations. Above a critical x value, plastic relaxation sets in via dislocations (Fig. 1b). We also correlated the photoluminescence emission properties with the strain distribution in the core and the shell, and the corresponding band alignment via band structure simulations. All in all, our results identified the limits of a coherent core and shell heterostructures and the potential application of tensile-strained GaAs nanowires for C- and O-band telecom photonics.</dc:description>
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          <dc:subject>nanowire</dc:subject>
          <dc:subject>photonics</dc:subject>
          <dc:subject>strain engineering</dc:subject>
          <dc:subject>GaAs</dc:subject>
          <dc:title>Unlocking the potential of GaAs nanowires for telecom photonics</dc:title>
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        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Rehwald, Martin</dc:creator>
          <dc:creator>Assenbaum, Stefan</dc:creator>
          <dc:creator>Bernert, Constantin</dc:creator>
          <dc:creator>Brack, Florian-Emanuel</dc:creator>
          <dc:creator>Bussmann, Michael</dc:creator>
          <dc:creator>Cowan, Thomas</dc:creator>
          <dc:creator>Curry, Chandra B.</dc:creator>
          <dc:creator>Fiuza, Frederico</dc:creator>
          <dc:creator>Garten, Marco</dc:creator>
          <dc:creator>Gaus, Lennart</dc:creator>
          <dc:creator>Gauthier, Maxence</dc:creator>
          <dc:creator>Göde, Sebastian</dc:creator>
          <dc:creator>Göthel, Ilja</dc:creator>
          <dc:creator>Glenzer, Siegfried H.</dc:creator>
          <dc:creator>Huang, Lingen</dc:creator>
          <dc:creator>Hübl, Axel</dc:creator>
          <dc:creator>Kim, Jongjin B.</dc:creator>
          <dc:creator>Kluge, Thomas</dc:creator>
          <dc:creator>Kraft, Stephan</dc:creator>
          <dc:creator>Kroll, Florian</dc:creator>
          <dc:creator>Metzkes-Ng, Josefine</dc:creator>
          <dc:creator>Miethlinger, Thomas</dc:creator>
          <dc:creator>Löser, Markus</dc:creator>
          <dc:creator>Obst-Huebl, Lieselotte</dc:creator>
          <dc:creator>Reimold, Marvin</dc:creator>
          <dc:creator>Schlenvoigt, Hans-Peter</dc:creator>
          <dc:creator>Schoenwaelder, Christopher</dc:creator>
          <dc:creator>Schramm, Ulrich</dc:creator>
          <dc:creator>Siebold, Mathias</dc:creator>
          <dc:creator>Treffert, Franziska</dc:creator>
          <dc:creator>Yang, Long</dc:creator>
          <dc:creator>Ziegler, Tim</dc:creator>
          <dc:creator>Zeil, Karl</dc:creator>
          <dc:date>2023-06-01</dc:date>
          <dc:description>Data for all figures of publication: " Ultra-short pulse laser acceleration of protons to 80 MeV from cryogenic hydrogen
jets tailored to near-critical density". The folder structure is adapted to match the figures in the publication.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2311</dc:identifier>
          <dc:identifier>10.14278/rodare.2311</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:2311</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.17815/jlsrf-2-58</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-37065</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-37338</dc:relation>
          <dc:relation>doi:10.14278/rodare.2310</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/draco-elbe</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/elbe</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/fwk</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>Plasma accelerator</dc:subject>
          <dc:subject>Laser ion acceleration</dc:subject>
          <dc:subject>Near-critical density plasmas</dc:subject>
          <dc:title>Source Data: Ultra-short pulse laser acceleration of protons to 80 MeV from cryogenic hydrogen jets tailored to near-critical density</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
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        <identifier>oai:rodare.hzdr.de:4137</identifier>
        <datestamp>2026-03-27T13:11:08Z</datestamp>
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          <dc:creator>Carstens, Finn-Ole</dc:creator>
          <dc:creator>Bernert, Constantin</dc:creator>
          <dc:creator>Bussmann, Michael</dc:creator>
          <dc:creator>Debus, Alexander</dc:creator>
          <dc:creator>Hirsch-Passicos, Arthur</dc:creator>
          <dc:creator>Ordyna, Paweł</dc:creator>
          <dc:creator>Steiniger, Klaus</dc:creator>
          <dc:creator>Widera, René</dc:creator>
          <dc:creator>Schramm, Ulrich</dc:creator>
          <dc:creator>Pausch, Richard</dc:creator>
          <dc:date>2025-11-30</dc:date>
          <dc:description>Data to create figures for "Synthetic Optical Imaging in PIConGPU" and source code to rerun simulations. 


	`cryojet_openpmd_data.zip`: Simulation with cryojet density slice (Fig 4a), input files to rebuild and rerun simulation are in `input/include` and `input/etc`
	`cryojet_shadowgram_plugin_data.zip`: Simulation with cryojet shadowgram (Fig 4b, 4c, 4d), input files to rebuild and rerun simulation are in `input/include` and `input/etc`
	`doubleslit_openpmd_data_setup.zip`: Simulation with double slit setup picture (Fig. 2), input files to rebuild and rerun simulation are in `input/include` and `input/etc`
	`doubleslit_shadowgram_openpmd_data.zip`: Simulation with double slit shadowgram made with openPMD time integration (Fig. 3b), input files to rebuild and rerun simulation are in `input/include` and `input/etc`
	`doubleslit_shadowgram_plugin_data.zip`: Simulation with double slit shadowgram made with plugin (Fig. 3a and 3b), input files to rebuild and rerun simulation are in `input/include` and `input/etc`
	`picongpu-cryojet.zip`: PIConGPU source code for cryojet simulations
	`picongpu-doubleslit.zip`: PIConGPU source code for double slit simulations
</dc:description>
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          <dc:identifier>10.14278/rodare.4137</dc:identifier>
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          <dc:language>eng</dc:language>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-42310</dc:relation>
          <dc:relation>doi:10.14278/rodare.4136</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>Particle-in-Cell</dc:subject>
          <dc:subject>Laser Plasma Acceleration</dc:subject>
          <dc:subject>Shadowgraphy</dc:subject>
          <dc:subject>PIConGPU</dc:subject>
          <dc:title>Data publication: Synthetic Optical Imaging in PIConGPU</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
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        <identifier>oai:rodare.hzdr.de:4578</identifier>
        <datestamp>2026-03-26T10:10:20Z</datestamp>
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        <setSpec>user-hzdr</setSpec>
        <setSpec>user-matter</setSpec>
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          <dc:creator>Gurzeda, Bartosz Piotr</dc:creator>
          <dc:creator>Boulanger, Nicolas</dc:creator>
          <dc:creator>Li, Gui</dc:creator>
          <dc:creator>Jørgensen, Mads Ry Vogel</dc:creator>
          <dc:creator>Kantor, Innokenty</dc:creator>
          <dc:creator>Baburin, Igor</dc:creator>
          <dc:creator>Petre, Marta</dc:creator>
          <dc:creator>Enachescu, Marius</dc:creator>
          <dc:creator>Talyzin, Alexandr V.</dc:creator>
          <dc:date>2026-03-12</dc:date>
          <dc:description>The dataset contains the characterization of the synthesized Ti3C2Tz MXene materials by etching Ti3AlC2 titanium aluminum carbide in solution of ammonium fluoride in acetic acid by XRD, TGA, and XPS.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/4578</dc:identifier>
          <dc:identifier>10.14278/rodare.4578</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:4578</dc:identifier>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>environmental friendly</dc:subject>
          <dc:subject>in situ XRD</dc:subject>
          <dc:subject>MXene synthesis</dc:subject>
          <dc:subject>synchrotron</dc:subject>
          <dc:subject>titanium aluminum carbide</dc:subject>
          <dc:title>Data publication: Titanium Carbide MXene Synthesis by Etching of Titanium Aluminum Carbide in Acetic Acid Solution</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:4029</identifier>
        <datestamp>2026-06-02T09:35:49Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-crc1415</setSpec>
        <setSpec>user-fwi</setSpec>
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        <setSpec>user-rodare</setSpec>
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      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:contributor>Nihei, Anastasiia</dc:contributor>
          <dc:contributor>Barnowsky, Tom</dc:contributor>
          <dc:contributor>Friedrich, Rico</dc:contributor>
          <dc:creator>Nihei, Anastasiia</dc:creator>
          <dc:creator>Barnowsky, Tom</dc:creator>
          <dc:creator>Friedrich, Rico</dc:creator>
          <dc:date>2025-03-10</dc:date>
          <dc:description>This dataset includes the primary research data for the publication "Non-van der Waals Heterostructures".</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/4029</dc:identifier>
          <dc:identifier>10.14278/rodare.4029</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:4029</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.17815/jlsrf-3-159</dc:relation>
          <dc:relation>doi:10.1021/acs.nanolett.1c03841</dc:relation>
          <dc:relation>doi:10.1002/aelm.202201112</dc:relation>
          <dc:relation>doi:10.14278/rodare.1421</dc:relation>
          <dc:relation>doi:10.14278/rodare.1852</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-41082</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-41218</dc:relation>
          <dc:relation>doi:10.14278/rodare.3621</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/crc1415</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/fwi</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/ibc</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>2D materials</dc:subject>
          <dc:subject>non-van der Waals compounds</dc:subject>
          <dc:subject>heterostructures</dc:subject>
          <dc:subject>interface design</dc:subject>
          <dc:subject>magnetism</dc:subject>
          <dc:subject>data-driven research</dc:subject>
          <dc:subject>computational materials science</dc:subject>
          <dc:subject>high-throughput computing</dc:subject>
          <dc:title>Data publication: Non-van der Waals Heterostructures</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:3885</identifier>
        <datestamp>2025-08-21T09:33:11Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-elbe</setSpec>
        <setSpec>user-felbe</setSpec>
        <setSpec>user-hzdr</setSpec>
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        <setSpec>user-matter</setSpec>
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      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Uaman Svetikova, Tatiana Aureliia</dc:creator>
          <dc:creator>Ilyakov, Igor</dc:creator>
          <dc:creator>Ponomaryov, Alexey</dc:creator>
          <dc:creator>de Oliveira, Thales</dc:creator>
          <dc:creator>Berger, Christian</dc:creator>
          <dc:creator>Fürst, Lena</dc:creator>
          <dc:creator>Bayer, Florian</dc:creator>
          <dc:creator>Deinert, Jan-Christoph</dc:creator>
          <dc:creator>Prajapati, Gulloo Lal</dc:creator>
          <dc:creator>Arshad, Atiqa</dc:creator>
          <dc:creator>Novik, Elena G.</dc:creator>
          <dc:creator>Pashkin, Alexej</dc:creator>
          <dc:creator>Helm, Manfred</dc:creator>
          <dc:creator>Winnerl, Stephan</dc:creator>
          <dc:creator>Buhmann, Hartmut</dc:creator>
          <dc:creator>Molenkamp, Laurens W.</dc:creator>
          <dc:creator>Kiessling, Tobias</dc:creator>
          <dc:creator>Kovalev, Sergey</dc:creator>
          <dc:creator>Astakhov, Georgy</dc:creator>
          <dc:date>2025-07-27</dc:date>
          <dc:description>This upload represents the data used for publication, including datasets and programming code.

1. Folder “raw_data” contains raw data files obtained during third harmonic generation experiments.
2. Folder “programs” contains the code of the programs for data processing, fitting, and simulations.
3. Folder “origin” contains the main origin file with the visualization of the experimental results and simulations.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/3885</dc:identifier>
          <dc:identifier>10.14278/rodare.3885</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:3885</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.17815/jlsrf-2-58</dc:relation>
          <dc:relation>arxiv:2412.17179</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-41655</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-41742</dc:relation>
          <dc:relation>doi:10.14278/rodare.3884</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/elbe</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/felbe</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/fwi</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/hzdr</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/telbe</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>HgTe</dc:subject>
          <dc:subject>Nonlinear effects</dc:subject>
          <dc:subject>THz</dc:subject>
          <dc:title>Highly efficient broadband THz upconversion with Dirac materials: Data</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:121</identifier>
        <datestamp>2021-12-15T14:30:12Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-matter</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Ódor, Géza</dc:creator>
          <dc:creator>Kelling, Jeffrey</dc:creator>
          <dc:date>2019-03-14</dc:date>
          <dc:description>Results of fourth-order Runge--Kutta integration of the first-order Kuramoto model in brain connectome graph.


	Awr.dat.gz : connectome graph
	Awri.dat.gz : connectome graph with inhibitory links
	ccdata.tgz : simulations data for different configurations
	(averages at top-level, single runs in folders)
	
		eERll*.dat: cube graph with random long-range links
		o.ocp-kur_{lambda}_*.dat: connectome with coupling lambda
		o.ocp-kur_{lambda}I_*.dat: connectome with inhibitory links, coupling lambda
		elo-Thr: smoothed probability distributions of avalance times
	
	
</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/121</dc:identifier>
          <dc:identifier>10.14278/rodare.121</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:121</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>arxiv:arXiv:1903.00385</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-29065</dc:relation>
          <dc:relation>doi:10.14278/rodare.120</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by-sa/4.0/legalcode</dc:rights>
          <dc:subject>Kuramoto Model, Graph, Synchronization</dc:subject>
          <dc:title>Kuramoto Model on KKI18 connectome</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
      </metadata>
    </record>
    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:3706</identifier>
        <datestamp>2025-10-09T08:40:40Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>openaire_data</setSpec>
        <setSpec>openaire_data</setSpec>
        <setSpec>openaire_data</setSpec>
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        <setSpec>user-rodare</setSpec>
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      </header>
      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:contributor>Chekhonin, Paul</dc:contributor>
          <dc:contributor>Worbs, Andreas</dc:contributor>
          <dc:contributor>Hlawacek, Gregor</dc:contributor>
          <dc:contributor>Wagner, Andreas</dc:contributor>
          <dc:creator>Bektas, Umutcan</dc:creator>
          <dc:creator>Liedke, Maciej Oskar</dc:creator>
          <dc:creator>Liu, Huan</dc:creator>
          <dc:creator>Ganss, Fabian</dc:creator>
          <dc:creator>Butterling, Maik</dc:creator>
          <dc:creator>Klingner, Nico</dc:creator>
          <dc:creator>Hübner, René</dc:creator>
          <dc:creator>Makkonen, Ilja</dc:creator>
          <dc:creator>Wagner, Andreas</dc:creator>
          <dc:creator>Hlawacek, Gregor</dc:creator>
          <dc:date>2025-04-11</dc:date>
          <dc:description>In this study, we investigate the ion-induced phase transition in gallium oxide (Ga2O3) from beta- to the gamma- phase and the role of defects in the transformation and the quality of the resulting crystal structure. This upload contains XRD, TEM, RBS, PALS, DB-VEPAS and simulations.</dc:description>
          <dc:description>We acknowledge the M-ERA.NET Program for financial support via the GOFIB project supported by the tax funds on the basis of the budget passed by the Saxonian state parliament in Germany and administrated in Finland by the Academy of Finland project number 352518. 
UB, GH, and NK acknowledge support by the COST Action CA19140 FIT4NANO.
This work was partially supported by the Initiative and Networking Fund of the Helmholtz Association (FKZ VH-VI-442 Memriox) and the Helmholtz Energy Materials Characterization Platform (03ET7015). 
We are grateful for CSC-Finnish IT Center for Science for generous computational resources.</dc:description>
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          <dc:description>-- raw data of GISAXS experiment

-- AFM data

-- GISAXS simulation files</dc:description>
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PI: Heejae Kim, MPI for polymer research, Mainz.</dc:description>
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          <dc:description>The research was supported in part by the Polish National Science Center (NCN) under grant No. 2021/43/P/ST2/03319.</dc:description>
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          <dc:subject>magnetic fields</dc:subject>
          <dc:subject>doping</dc:subject>
          <dc:title>Research data: Fano interference between collective modes in cuprate high-Tc superconductors</dc:title>
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          <dc:type>dataset</dc:type>
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          <dc:creator>Barnowsky, Tom</dc:creator>
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          <dc:subject>Creep</dc:subject>
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          <dc:subject>Positron annihilation lifetime spectroscop</dc:subject>
          <dc:title>Data publication: Free volume and nonlinear viscoelasticity in supercrystalline nanocomposites: A nanoindentation driven modelling analysis</dc:title>
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          <dc:subject>Nanoelectronics</dc:subject>
          <dc:subject>Self-Organisation</dc:subject>
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          <dc:date>2025-09-30</dc:date>
          <dc:description>Magnetic shape memory alloys, owing to their multifunctional properties, are a promising material system for integration into microsystems. Their multifunctionality arises from the coexistence of ferroelasticity and ferromagnetism. While size-effects in ferromagnetic microstructure are well understood, corresponding experiments on the ferroelastic martensite microstructure are sparse. In this study, we use epitaxially grown Ni-Mn-Ga-based films as a model system to investigate the influence of finite size on the martensite microstructure under constrained and freestanding conditions. The results show that the microfabricated patterns, in both conditions, retain the characteristics of their continuous film microstructures. Film thickness has a strong influence, as this is the smallest extension investigated in our study. Our analysis reveals similarities and differences between finite size effects in ferromagnetic and ferroelastic microstructure, which is crucial for using these multifunctional materials in microsystems.</dc:description>
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          <dc:subject>Magnetic shape memory alloys</dc:subject>
          <dc:subject>Epitaxial films</dc:subject>
          <dc:subject>Microfabrication</dc:subject>
          <dc:subject>Size-effect</dc:subject>
          <dc:subject>Martensite microstructure</dc:subject>
          <dc:title>Data publication: Finite Size-Effects in Martensite Microstructure of Magnetic Shape Memory Films</dc:title>
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        <datestamp>2026-06-09T16:05:27Z</datestamp>
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          <dc:creator>Barnowsky, Tom</dc:creator>
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          <dc:date>2025-12-12</dc:date>
          <dc:description>FINDSLAB: Software for Exfoliation and Cleavage of Crystals

Tom Barnowsky &amp; Rico Friedrich
Technische Universität Dresden &amp; Helmholtz-Zentrum Dresden-Rossendorf, Germany

This program implements the XCP method to identify 2D materials from bulk materials by estimating bonding energies using a two-body potential model [1].

Potential Models

The code supports a range of two-body potential parametrizations \(V(r)\), namely:


	Lennard-Jones + Yukawa
	Morse + Yukawa
	Mie + Yukawa


Parameters are provided as plain text files which are specified via the environment variable `FINDSLAB_POTDATA`. Note that all energies have to be multiplied by a factor two to compare to surface/bonding energies.

Build

Run `make` serially (without `-j n`). A binary will be created in the `bin` directory.

Requirements: a recent Fortran compiler, BLAS and LAPACK.

Usage

FINDSLAB provides some instructions when running `findslab --help`.

The code is designed to work with VASP POSCAR files, however, the reader is not fully general and expects the formatting as it is found in the AFLOW database (aflow.org) [2]. To convert general structure files (including those from other codes) to this format, use the AFLOW software to run `aflow --vasp`. The aflow code is available at github.com/aflow-org/aflow.

Here we provide an example code to determine HKLSEARCH slabs from bulk Ca3N2 retrieved via the AFLOW REST API [3]:

export FINDSLAB_POTDATA=&lt;path to file&gt;
export OPENBLAS_NUM_THREADS=1
curl http://aflowlib.duke.edu/AFLOWDATA/ICSD_WEB/HEX/Ca3N2_ICSD_169727/CONTCAR.relax.vasp |
    aflow --sconv |
    findslab --hklsearch

Conversion to the conventional unit cell via `aflow --sconv` is optional and is only used here to relate Miller indices to the conventional cell.

Acknowledgements

The authors thank Carsten Timm, Steve Schmerler, and Moritz Leucke for fruitful discussions. Parts of this work are based on an implementation for creating Miller planes from the atomic simulation environment (ASE) [4].  Additionally, we implement the criterion of Mounet et al. [5] to identify van der Waals-bound layers in bulk structures.

License

This dataset is published under the Apache 4.0 license. We kindly ask works based on this software to cite this entry and/or the associated publication.</dc:description>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://opensource.org/licenses/Apache-2.0</dc:rights>
          <dc:subject>2D materials</dc:subject>
          <dc:subject>non-van der Waals compounds</dc:subject>
          <dc:subject>computational materials science</dc:subject>
          <dc:title>FINDSLAB: Software for Exfoliation and Cleavage of Crystals</dc:title>
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          <dc:type>software</dc:type>
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        <identifier>oai:rodare.hzdr.de:1345</identifier>
        <datestamp>2024-08-08T10:33:20Z</datestamp>
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          <dc:creator>Kovalev, Sergey</dc:creator>
          <dc:creator>Hafez, Hassan A.</dc:creator>
          <dc:creator>Tielrooij, Klaas-Jan</dc:creator>
          <dc:creator>Deinert, Jan-Christoph</dc:creator>
          <dc:creator>Ilyakov, Igor</dc:creator>
          <dc:creator>Awari, Nilesh</dc:creator>
          <dc:creator>Alcaraz, David</dc:creator>
          <dc:creator>Soundarapandian, Karuppasamy</dc:creator>
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          <dc:creator>Germanskiy, Semen</dc:creator>
          <dc:creator>Chen, Min</dc:creator>
          <dc:creator>Bawatna, Mohammed</dc:creator>
          <dc:creator>Green, Bertram Windisch</dc:creator>
          <dc:creator>Koppens, Frank H. L.</dc:creator>
          <dc:creator>Mittendorff, Martin</dc:creator>
          <dc:creator>Bonn, Mischa</dc:creator>
          <dc:creator>Gensch, Michael</dc:creator>
          <dc:creator>Turchinovich, Dmitry</dc:creator>
          <dc:date>2021-12-21</dc:date>
          <dc:description>This research data publications contains the sorted pulse-resolved data and metadata corresponding to the linked publication: Electrical tunability of terahertz nonlinearity in graphene.

The final data evaluation and preparation of figures was done externally by Dr. Hassan Hafez, who should be contacted in terms of assigning raw data to data shown in publication.</dc:description>
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          <dc:identifier>oai:rodare.hzdr.de:1345</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>info:eu-repo/grantAgreement/EC/H2020/654220/</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-32311</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-33778</dc:relation>
          <dc:relation>doi:10.1126/SCIADV.ABF9809</dc:relation>
          <dc:relation>doi:10.14278/rodare.1344</dc:relation>
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          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/restrictedAccess</dc:rights>
          <dc:subject>Graphene</dc:subject>
          <dc:subject>THz-driven dynamics</dc:subject>
          <dc:subject>Terahertz</dc:subject>
          <dc:subject>Dirac material</dc:subject>
          <dc:subject>Electrical gating</dc:subject>
          <dc:subject>High harmonic generation</dc:subject>
          <dc:subject>Optoelectronics</dc:subject>
          <dc:subject>Ultrafast</dc:subject>
          <dc:title>Research data: Electrical tunability of terahertz nonlinearity in graphene</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
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        <identifier>oai:rodare.hzdr.de:2293</identifier>
        <datestamp>2023-06-28T08:52:22Z</datestamp>
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          <dc:creator>Fink, Lukas</dc:creator>
          <dc:creator>Kar, Satyakam</dc:creator>
          <dc:creator>Lünser, Klara</dc:creator>
          <dc:creator>Nielsch, Kornelius</dc:creator>
          <dc:creator>Reith, Heiko</dc:creator>
          <dc:creator>Fähler, Sebastian</dc:creator>
          <dc:date>2023-05-08</dc:date>
          <dc:description>Measured raw data (XRD, texture, SEM, PPMS and EDX)</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2293</dc:identifier>
          <dc:identifier>10.14278/rodare.2293</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:2293</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-36937</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-37186</dc:relation>
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          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>Magnetic shape memory alloys</dc:subject>
          <dc:subject>Silicon microtechnology</dc:subject>
          <dc:subject>Ni2MnGa</dc:subject>
          <dc:subject>NiTi</dc:subject>
          <dc:subject>Epitaxial film growth</dc:subject>
          <dc:title>Data publication: Integration of Multifunctional Epitaxial (Magnetic) Shape Memory Films in Silicon Microtechnology</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
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      <header>
        <identifier>oai:rodare.hzdr.de:1999</identifier>
        <datestamp>2023-02-28T13:31:04Z</datestamp>
        <setSpec>openaire_data</setSpec>
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        <setSpec>user-casus</setSpec>
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          <dc:contributor>Kraisler, Eli</dc:contributor>
          <dc:contributor>Cangi, Attila</dc:contributor>
          <dc:creator>Callow, Timothy James</dc:creator>
          <dc:date>2022-12-14</dc:date>
          <dc:description>Data for our paper "Improved calculations of mean ionization states with an average-atom model" (arXiv)

 

For details about the data, please see the README file after unpacking the folder, and this GitHub repository.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/1999</dc:identifier>
          <dc:identifier>10.14278/rodare.1999</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:1999</dc:identifier>
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          <dc:title>Data publication: Improved calculations of mean ionization states with an average-atom model</dc:title>
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        <identifier>oai:rodare.hzdr.de:2889</identifier>
        <datestamp>2024-05-28T09:11:46Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-matter</setSpec>
        <setSpec>user-rodare</setSpec>
      </header>
      <metadata>
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          <dc:creator>Kar, Satyakam</dc:creator>
          <dc:creator>Ikeda, Yuki</dc:creator>
          <dc:creator>Nielsch, Kornelius</dc:creator>
          <dc:creator>Reith, Heiko</dc:creator>
          <dc:creator>Maaß, Robert</dc:creator>
          <dc:creator>Fähler, Sebastian</dc:creator>
          <dc:date>2024-05-28</dc:date>
          <dc:description>This dataset contains all raw data used for the publication of the paper "Multiferroic Microstructure Created from Invariant Line Constraint" including SEM, TEM, MFM, VSM, RXD data.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/2889</dc:identifier>
          <dc:identifier>10.14278/rodare.2889</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:2889</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-39148</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-39147</dc:relation>
          <dc:relation>doi:10.14278/rodare.2888</dc:relation>
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          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>Multiferroics</dc:subject>
          <dc:subject>Martensite</dc:subject>
          <dc:subject>Magnetic shape memory alloys</dc:subject>
          <dc:subject>Ni-Mn-Ga-based alloys</dc:subject>
          <dc:subject>Epitaxial films</dc:subject>
          <dc:subject>Finite-size effects</dc:subject>
          <dc:title>Data publication: Multiferroic Microstructure Created from Invariant Line Constraint</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
        </oai_dc:dc>
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    <record>
      <header>
        <identifier>oai:rodare.hzdr.de:4176</identifier>
        <datestamp>2025-12-15T07:02:49Z</datestamp>
        <setSpec>openaire_data</setSpec>
        <setSpec>user-rodare</setSpec>
        <setSpec>user-matter</setSpec>
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        <setSpec>user-fwi</setSpec>
        <setSpec>user-crc1415</setSpec>
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      <metadata>
        <oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:creator>Barnowsky, Tom</dc:creator>
          <dc:creator>Friedrich, Rico</dc:creator>
          <dc:date>2025-12-12</dc:date>
          <dc:description>Primary Research Data for "Exfoliation and Cleavage of Crystals from a Universal Potential"

Tom Barnowsky &amp; Rico Friedrich
TU Dresden &amp; Helmholtz-Zentrum Dresden-Rossendorf, Germany

This dataset contains the primary data supporting the publication "Exfoliation and Cleavage of Crystals from a Universal Potential". Each directory corresponds to a bulk entry from the AFLOW database for which a slab prediction was generated. The directory name follows the AFLOWLIB uniform resource locator (with the prefix `aflowlib.duke.edu:` omitted). Bulk data can be retrieved from aflowlib.duke.edu through the AFLOW REST API using this identifier [1].

Within each bulk directory, subdirectories are provided for every predicted slab. Their names follow the pattern:

ID="${MILLER_INDEX}_facet_${BULK_CHEMICAL_FORMULA}_ICSD_${BULK_ICSD_NUMBER}_slab_${SLAB_CHEMICAL_FORMULA}_uff_${UFF_ENERGY}"


	Chemical formulas are alphabetically ordered.
	UFF energies [2] are written with two significant figures.


This provides a unique identifier for every bulk/slab configuration.

Contents of Each Slab Directory

Each `${ID}` directory contains:


	`POSCAR.vasp.xz`: structure file of the unrelaxed predicted 2D slab.
	If an exfoliation-energy calculation was performed, the full AFLOW/VASP calculation data is included [3-8].
	A static "as-sliced" DFT calculation is located in a separate `${ID}_static` directory.
	If a DFT calculation did not finish cleanly the calculation data is omitted.


For systems where band structures or molecular dynamics (MD) were computed, the respective results are stored as:


	`${ID}/BANDS_DOS`
	`${ID}/MD_300K`


Directory Structure Example

Below is an example for the predicted (001) slab of BaCO3:

AFLOWDATA
└── ICSD_WEB
    ├── HEX
    │   ├── Ba1C1O3_ICSD_91897
    │   │   ├── 001_facet_Ba1C1O3_ICSD_91897_slab_Ba1C1O3_uff_0.75
    │   │   │   ├── aflow.in
    │   │   │   ├── BANDS_DOS
    │   │   │   │   ├── aflow.in
    │   │   │   │   └── ...
    │   │   │   ├── MD_300K
    │   │   │   │   ├── INCAR.xz
    │   │   │   │   └── ...
    │   │   │   └── ...
    │   │   └── 001_facet_Ba1C1O3_ICSD_91897_slab_Ba1C1O3_uff_0.75_static
    │   │       ├── aflow.in
    │   │       └── ...
    │   └── ...
    └── ...

This structure is split at the third level into 14 separate tar archives (one for each Bravais lattice) for download.

Structure File

Each `POSCAR.vasp.xz` file contains the predicted slab structure in VASP's POSCAR format. The file header encodes essential metadata about the algorithm and parameters used to generate the slab.

HKLSEARCH Slabs

For slabs created using the HKLSEARCH algorithm, the header has the form:

HEADER="Slab( ${H} ${K} ${L} ), start=${START}, thickness=${THICKNESS}, energy=${SURFACE_ENERGY}, ratio=${IN_OUT_RATIO}"

where


	`START`: Starting point of the cut-out layer along the (hkl) normal in units of Angstrom.
	`THICKNESS`: Thickness of the extracted slab along the (hkl) normal in units of Angstrom.
	`SURFACE_ENERGY`: The XCP model surface energy (divided by 2).
	`IN_OUT_RATIO`: The in-plane/out-of-plane ratio.


BONDDEL Slabs

For slabs created using the BONDDEL algorithm, the header is:

HEADER="Slab(bonddel,  ${H} ${K} ${L}), ratio=${RATIO}"

where


	 `RATIO`: 2D/3D cut bond energy ratio.


Additional Files

This dataset also includes the potential data file used with the FINDSLAB code [9], supplied as `POTDATA_morse_yukawa_2025.xz`.

License

This dataset is published under the Creative Commons Attribution 4.0 (CC BY) license. We kindly ask works based on this data to cite this dataset entry and/or the associated publication.</dc:description>
          <dc:identifier>https://rodare.hzdr.de/record/4176</dc:identifier>
          <dc:identifier>10.14278/rodare.4176</dc:identifier>
          <dc:identifier>oai:rodare.hzdr.de:4176</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:relation>doi:10.1007/s44210-025-00058-2</dc:relation>
          <dc:relation>doi:10.1103/PhysRevB.47.558</dc:relation>
          <dc:relation>doi:10.1103/PhysRevB.49.16223</dc:relation>
          <dc:relation>doi:10.1088/0953-8984/6/40/015</dc:relation>
          <dc:relation>doi:10.1103/PhysRevB.54.11169</dc:relation>
          <dc:relation>doi:10.1016/0927-0256(96)00008-0</dc:relation>
          <dc:relation>doi:10.1016/j.commatsci.2014.05.014</dc:relation>
          <dc:relation>doi:10.14278/rodare.4180</dc:relation>
          <dc:relation>url:https://www.hzdr.de/publications/Publ-42448</dc:relation>
          <dc:relation>doi:10.1021/ja00051a040</dc:relation>
          <dc:relation>doi:10.14278/rodare.4175</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/crc1415</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/fwi</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/ibc</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/matter</dc:relation>
          <dc:relation>url:https://rodare.hzdr.de/communities/rodare</dc:relation>
          <dc:rights>info:eu-repo/semantics/openAccess</dc:rights>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
          <dc:subject>2D materials</dc:subject>
          <dc:subject>non-van der Waals compounds</dc:subject>
          <dc:subject>data-driven research</dc:subject>
          <dc:subject>computational materials science</dc:subject>
          <dc:subject>high-throughput computing</dc:subject>
          <dc:title>Data Publication: Exfoliation and Cleavage of Crystals from a Universal Potential</dc:title>
          <dc:type>info:eu-repo/semantics/other</dc:type>
          <dc:type>dataset</dc:type>
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