1 to 10 of 238 Results
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... |
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... |
Mar 1, 2024 - A01: Molecular detail in fluid simulations: Density Functional Theory within component and momentum balances
Bursik, Benjamin; Eller, Johannes; Gross, Joachim, 2024, "Supporting Information: Notebooks, Solute Configurations and Solvation Free Energy Data", https://doi.org/10.18419/darus-3756, DaRUS, V1, UNF:6:0QTV2eSt2s5RktyiTCTmAg== [fileUNF]
This dataset contains three types of data: 1) Jupyter notebooks (.ipynb) for the calculation of solvation free energies and for the recreation of all figures in the publication; 2) Gromacs files containing the solute and solvent topology (.gro, .itp, .top), the trajectories (.trr... |
Feb 13, 2024 - SciML PDE Benchmark
Takamoto, Makoto; Praditia, Timothy; Leiteritz, Raphael; MacKinlay, Dan; Alesiani, Francesco; Pflüger, Dirk; Niepert, Mathias, 2022, "PDEBench Datasets", https://doi.org/10.18419/darus-2986, DaRUS, V8
This dataset contains benchmark data, generated with numerical simulation based on different PDEs, namely 1D advection, 1D Burgers', 1D and 2D diffusion-reaction, 1D diffusion-sorption, 1D, 2D, and 3D compressible Navier-Stokes, 2D Darcy flow, and 2D shallow water equation. This... |
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... |
Feb 8, 2024Physik und ihre Didaktik
This Dataverse lists the developed materials and their background files of the dissertation "On the Development of Activating Teaching Materials in Theoretical Physics" by Philipp Scheiger. |
Feb 8, 2024
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Jan 16, 2024 - Institute for Modelling and Simulation of Biomechanical Systems
Nadler, Tobias; Wolfen, Simon; Häufle, Daniel F. B.; Schmitt, Syn, 2024, "Technical specifications and details of the muscle-driven biorobotic arm ATARO", https://doi.org/10.18419/darus-3813, DaRUS, V1
ATARO is a bio-inspired arm robot with two degrees of freedom. Five artificial muscle-spring units (MSUs) are used for actuation. The MSUs, each consisting of a pneumatic artificial muscle (PAM) and a spring in series, mimic the characteristics of the human muscle-tendon complex.... |
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... |