Dataset Open Access
Fiedler, Lenz;
Moldabekov, Zhandos;
Shao, Xuecheng;
Jiang, Kaili;
Dornheim, Tobias;
Pavanello, Michele;
Cangi, Attila
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"version": "1.0.0",
"datePublished": "2022-05-30",
"creator": [
{
"name": "Fiedler, Lenz",
"affiliation": "HZDR / CASUS",
"@id": "https://orcid.org/0000-0002-8311-0613",
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{
"name": "Moldabekov, Zhandos",
"affiliation": "HZDR / CASUS",
"@id": "https://orcid.org/0000-0002-9725-9208",
"@type": "Person"
},
{
"name": "Shao, Xuecheng",
"affiliation": "Rutgers University",
"@type": "Person"
},
{
"name": "Jiang, Kaili",
"affiliation": "Rutgers University",
"@type": "Person"
},
{
"name": "Dornheim, Tobias",
"affiliation": "HZDR / CASUS",
"@id": "https://orcid.org/0000-0001-7293-6615",
"@type": "Person"
},
{
"name": "Pavanello, Michele",
"affiliation": "Rutgers University",
"@type": "Person"
},
{
"name": "Cangi, Attila",
"affiliation": "HZDR / CASUS",
"@id": "https://orcid.org/0000-0001-9162-262X",
"@type": "Person"
}
],
"@type": "Dataset",
"identifier": "https://doi.org/10.14278/rodare.1649",
"@context": "https://schema.org/",
"url": "https://rodare.hzdr.de/record/1649",
"name": "Data and Scripts for \"Accelerating Equilibration in First-Principles Molecular Dynamics with Orbital-Free Density Functional Theory\"",
"@id": "https://doi.org/10.14278/rodare.1649",
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"license": "https://creativecommons.org/licenses/by/4.0/legalcode",
"description": "<pre><em># </em>Data and Scripts for "Accelerating Equilibration in First-Principles Molecular Dynamics with Orbital-Free Density Functional Theory"\n\nThis dataset contains data and calculation scripts for the publication "Boosting first-principles molecular dynamics with orbital-free density functional theory".\nIts goal is to enable interested parties to reproduce the experiments we have carried out. \n\n<em>## </em>Prerequesites\n\nThe following software versions are needed for the python scripts:\n\n<em>- </em>`python`: 3.8.x\n<em>- </em>`mala`: 1.1.0 (with `dftpy` installed)\n\nFurther, make sure you have a working `Quantum ESPRESSO` and `VASP` installation and have downloaded additional \ndata such as local pseudopotentials and ML models (for references, see publication).\n\n<em>## </em>Contents\n\n<em>- </em>`scripts/`: Example scripts for the three principal python tasks associated with out work: ML inference, trajectory\nanalysis and OF-DFT-MD runs (via DFTPy). The scripts are general blueprints for these experiments and can be adjusted\nto perform all of the calculations given in the publication.\n<em>- </em>`data/`: Contains raw calculation data for the three investigated systems (hydrogen, beryllium and aluminium).\nSince the main goal of this work is to compare OF-DFT-MD initialized and ideal crystal structure initialized \ntrajectories and inferences, each of the three system-folders contains a `MD_ideal_crystal_structure` and \n`MD_ofdft_init` folder, with ideal crystal structure and OF-DFT-MD initialized data, respectively. Therein, contents\nmay differ; e.g. aluminium contains DFT calculation data, for beryllium data is divided by system size and Nosé mass,\nwhile for hydrogen data for different temperatures is given. \n</pre>"
}
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|---|---|---|
| Views | 2,291 | 1,086 |
| Downloads | 482 | 145 |
| Data volume | 1.3 TB | 403.1 GB |
| Unique views | 1,173 | 662 |
| Unique downloads | 90 | 24 |