Data publication: Bubble-induced versus thermodynamic voltage losses during pressurized alkaline water electrolysis

Rox, Hannes; Liang, Feng; Baumann, Robert; Marzec, Mateusz M.; Sokołowski, Krystian; Yang, Xuegeng; Lasagni, Andrés F.; van de Krol, Roel; Eckert, Kerstin

Understanding how bubbles influence the efficiency of water electrolysis is crucial to achieve economically competitive hydrogen, generated by renewable energy sources, such as wind and solar power. Water electrolysis is typically performed at high pressures to  lower the cost of the...

Data publication: Titanium Carbide MXene Synthesis by Etching of Titanium Aluminum Carbide in Acetic Acid Solution

Gurzeda, Bartosz Piotr; Boulanger, Nicolas; Li, Gui; Jørgensen, Mads Ry Vogel; Kantor, Innokenty; Baburin, Igor; Petre, Marta; Enachescu, Marius; Talyzin, Alexandr V.

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.

Super-ballistic pair dispersion in bubble-induced turbulence: Contrast between tracers and bubbles

Huang, Guangyuan; Tan, Shiyong; Hessenkemper, Hendrik; Lucas, Dirk; Eckert, Kerstin; Ni, Rui; Bourgoin, Mickael; Bragg, Andrew; Ma, Tian

This data publication contains the data to reproduce the figures for the paper "Super-ballistic pair dispersion in bubble-induced turbulence: Contrast between tracers and bubbles".

Multiphase Python Repository by HZDR

Schlegel, Fabian; Fombonne, Clement; Hänsch, Susann; Krull, Benjamin; Lehnigk, Ronald; Meller, Richard

The multiphasepy package is a Python toolkit for building, running, and maintaining CFD simulation case collections for the software released by the OpenFOAM Foundation (but also others, like Ansys Fluent or Siemens Simcenter Star-CCM). It combines reusable library modules with practical...

50 more version(s) exist for this record

Software publication: Range-shift prediction with prompt gamma timing in clinically realistic proton therapy fields

Kieslich, Aaron Markus; Makarevich, Krystsina; Zwanenburg, Alex; Kögler, Toni; Löck, Steffen

Satz von Skripten zur Verarbeitung von PGT Daten, sowie Ausführung einer Machine-learning Pipeline und Modellauswertung.

Data publication: Synthetic Optical Imaging in PIConGPU

Carstens, Finn-Ole; Bernert, Constantin; Bussmann, Michael; Debus, Alexander; Hirsch-Passicos, Arthur; Ordyna, Paweł; Steiniger, Klaus; Widera, René; Schramm, Ulrich; Pausch, Richard

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`...

1 more version(s) exist for this record

NeuralMPCX: A Model Predictive Control library that supports classic MPC and neural MPC with CasADi

Lopes-Júnior, Ênio; Reinecke, Sebastian Felix

NeuralMPCX is a Python library for building and deploying Model Predictive Controllers with classic and neural dynamical models. You write constrained MPC with RNN/LSTM models in a CasADi/IPOPT workflow. The library handles CasADi RNN integration, warm-starting, constraint management, real-time...

Data Publication: Understanding Energy Flow and Inefficiency of a Thermo-Magnetic Generator by Transient Multi-Physics Modelling

Izadi, Ali; Neumann, Bruno; Fähler, Sebastian

This folder contains the open data used to generate the figures presented in the manuscript entitled Understanding Energy Flow and Inefficiency of a Thermo-Magnetic Generator by Transient Multi-Physics Modelling. The folder includes the following data files:...

Data publication: Modification of hydrodynamic forces on single ellipsoidal bubbles rising in low-viscosity wall-bounded shear flows

Wang, Lantian; Ma, Tian; Lucas, Dirk; Eckert, Kerstin; Hessenkemper, Hendrik

This dataset provides experimental results used to establish the wall force coefficient and the wall-bounded lift coefficient for deformable bubbles with equivalent diameters ranging from 3 to 7mm.

Data publication: Taylor series perspective on ab initio path integral Monte Carlo simulations with Fermi-Dirac statistics

Dornheim, Tobias; Benedix Robles, Alexander; Hamann, Paul; Chuna, Thomas Michael; Svensson, Pontus; Schwalbe, Sebastian; Moldabekov, Zhandos; Tolias, Panagiotis; Vorberger, Jan

This repository contains the PIMC raw data for the publication "Taylor series perspective on ab initio path integral Monte Carlo simulations with Fermi-Dirac statistics" using the same units and formatting as in the plots.