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1 to 8 of 8 Results
Replication Data for: Bridging Microscopic Dynamics and Hydraulic Permeability in Mechanically-Deformed Nanoporous Materials
Apr 23, 2024 - Simulation input scripts to study Transport of Water In Soft confinemenT (TWIST)
Schlaich, Alexander, 2024, "Replication Data for: Bridging Microscopic Dynamics and Hydraulic Permeability in Mechanically-Deformed Nanoporous Materials", https://doi.org/10.18419/darus-3966, DaRUS, V1
Simulation input scripts used for "Bridging Microscopic Dynamics and Hydraulic Permeability in Mechanically-Deformed Nanoporous Materials" The folders the corresponding simulation and analysis files to setup the simulation systems (SETUP), perform the GCMC/MD simulations (ISOTHER...
Primary drainage experiments and fractal dimensions
Apr 18, 2024 - Publication: Microfluidic experiments
Karadimitriou, Nikolaos; Lee, Dongwon; Vahid Dastjerdi, Samaneh; Steeb, Holger, 2024, "Primary drainage experiments and fractal dimensions", https://doi.org/10.18419/darus-4114, DaRUS, V1
The current repository contains raw data in the shape of images collected during a systematic laboratory study, examining the usability of the fractal dimension in the characterization of the flow regime. The study is presented in the paper by Karadimitriou et al., 2024. The two...
Replication Data for: Generating Minimal Training Sets for Machine Learned Potentials
Apr 11, 2024 - Holm group
Finkbeiner, Jan; Tovey, Samuel; Holm, Christian, 2024, "Replication Data for: Generating Minimal Training Sets for Machine Learned Potentials", https://doi.org/10.18419/darus-4099, DaRUS, V1
Data and scripts for replicating results and the investigation presented in the paper. This includes the dft parameters for generating training data, all training and data selection scripts for the neural networks, scripts for running and analysing the production simulations with...
Replication Data for "Spectral stability of V2-centres in sub-micron 4H-SiC membranes"
Apr 2, 2024 - 3rd Physics Institute
Körber, Jonathan; Heiler, Jonah, 2024, "Replication Data for "Spectral stability of V2-centres in sub-micron 4H-SiC membranes"", https://doi.org/10.18419/darus-3982, DaRUS, V1, UNF:6:47fN8IWW9lCmomcyi4yOOg== [fileUNF]
CSV data sets to reproduce all plots in the paper and the Supplementary Information
Supplementary material for `Dynamic renormalization of scalar active field theories`
Mar 11, 2024 - Institute for Theoretical Physics IV
Speck, Thomas; Papanikolaou, Nikos, 2024, "Supplementary material for `Dynamic renormalization of scalar active field theories`", https://doi.org/10.18419/darus-4073, DaRUS, V1
The following folders have Jupyter notebook files that are used to obtain the results we present in Section I.1, I.2, III.B, III.C, IV.A and IV.B and Appendix C and D and Figures 9, 10, 11, 13. To calculate the graphical corrections we extensively use the Python package ``restflo...
Data for: Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom
Mar 8, 2024 - Materials Design
Srinivasan, Prashanth; Demuriya, David; Grabowski, Blazej; Shapeev, Alexander, 2024, "Data for: Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom", https://doi.org/10.18419/darus-3891, DaRUS, V1
Data for "Srinivasan, P., Demuriya, D., Grabowski, B. et al. Electronic Moment Tensor Potentials include both electronic and vibrational degrees of freedom. npj Comput Mater 10, 41 (2024). doi:10.1038/s41524-024-01222-9 The dataset contains three folders: Data for the four figure...
Entwickelte Materialien zur Dissertation "On the Development of Activating Teaching Materials in Theoretical Physics"
Feb 12, 2024 - Entwickelte Materialien zur Dissertation - On the Development of Activating Teaching Materials in Theoretical Physics
Scheiger, Philipp, 2024, "Entwickelte Materialien zur Dissertation "On the Development of Activating Teaching Materials in Theoretical Physics"", https://doi.org/10.18419/darus-3972, DaRUS, V1
This Dataset lists the developed materials and their background files of the dissertation "On the Development of Activating Teaching Materials in Theoretical Physics" by Philipp Scheiger. The material is provided in PDF form, but their generation code and the graphics used are al...
Replication Data for: Constraint-aware neural networks for Riemann problems
Jan 11, 2024 - Projects without PN Affiliation
Magiera, Jim M., 2024, "Replication Data for: Constraint-aware neural networks for Riemann problems", https://doi.org/10.18419/darus-3869, DaRUS, V1
Data sets of the article "Constraint-aware neural networks for Riemann problems", consisting of training and test data sets for Riemann solutions of the cubic flux model, an isothermal two-phase model, and the Euler equations for an ideal gas. You can find detailed information in...
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