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41 to 50 of 65 Results
Aug 26, 2022 - Institute of Thermodynamics and Thermal Process Engineering
Zimmermann, Nils Edvin Richard; Guevara-Carrion, Gabriela; Vrabec, Jadran; Hansen, Niels, 2022, "Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state'", https://doi.org/10.18419/darus-2996, DaRUS, V2
Supplementary material for 'Predicting and rationalizing the Soret coefficient of binary Lennard-Jones mixtures in the liquid state' (N. E. R. Zimmermann, G. Guevara-Carrion, J. Vrabec, N. Hansen, Adv. Theory Simul., 2022) containing scripts, packages, and files to re-create and...
Aug 5, 2022 - PN 7-6
Kneifl, Jonas; Hay, Julian; Fehr, Jörg, 2022, "Human Occupant Motion in Pre-Crash Scenario", https://doi.org/10.18419/darus-2471, DaRUS, V1
This dataset provides simulation results from a high-fidelity human body model in a pre-crash scenario as well as a surrogate model to approximate those simulation results. The high-fidelity results contain the motion of all points describing the occupant at certain points of tim...
Jun 20, 2022 - PN 4-7
Baier, Alexandra; Staab, Steffen, 2022, "A Simulated 4-DOF Ship Motion Dataset for System Identification under Environmental Disturbances", https://doi.org/10.18419/darus-2905, DaRUS, V1, UNF:6:Y083ZdO8GLwf/Iimyij+mQ== [fileUNF]
This dataset contains data of 125 1-hour simulations of ship motion during various sea states performing random maneuvers in 4 degrees of freedom (surge-sway-yaw-roll). The original ship is a patrol ship developed by Perez et al. [1]. We have extended it with a set of two symmetr...
PN 4-7(Universität Stuttgart)
May 16, 2022PN 4
Combining First Principles and Neural Network Models for Interpretable, High-Precision Multi-Step Predictions (InMotion)
May 4, 2022 - Institute of Thermodynamics and Thermal Process Engineering
Fleck, Maximilian; Markthaler, Daniel; Stankiewicz, Bartosz; Hansen, Niels, 2022, "Supplementary material for 'Exploring the Effect of Enhanced Sampling on Protein Stability Prediction'", https://doi.org/10.18419/darus-2132, DaRUS, V1, UNF:6:8wyFNcxoOTcKA+4ZpSWLAg== [fileUNF]
Supplementary material for 'Exploring the Effect of Enhanced Sampling on Protein Stability Prediction' containing files to (re-)execute GROMACS simulations performed during the mutation study. This dataset contains simulation input files in GROMACS format accompanying the mention...
demoa(Universität Stuttgart)
Apr 28, 2022PN 2
A biophysics simulator for muscle-driven motion
Apr 26, 2022 - Institute of Thermodynamics and Thermal Process Engineering
Kessler, Christopher; Schuldt, Robin; Emmerling, Sebastian; Lotsch, Bettina; Kästner, Johannes; Gross, Joachim; Hansen, Niels, 2022, "Supplementary material for 'Influence of Layer Slipping on Adsorption of Light Gases in Covalent Organic Frameworks: A Combined Experimental and Computational Study'", https://doi.org/10.18419/darus-2308, DaRUS, V1, UNF:6:ifmtNZEZHi+MkSvB5rd1dw== [fileUNF]
This dataset contains results from Grand Canonical Monte Carlo (GCMC) Simulation (data/isotherms_sim/) and experiment (data/isotherms/exp). All Data is presented in a jupyter notebook and for a fast overview without executing the notebook also as pdf-file. Furthermore the dataset...
Apr 21, 2022 - Usability and Sustainability of Simulation Software
Chourdakis, Gerasimos; Davis, Kyle; Desai, Ishaan; Rodenberg, Benjamin; Schneider, David; Simonis, Frédéric; Uekermann, Benjamin; Firmbach, Max; Jaust, Alexander; Lorenz, Christopher; Martin, Boris; Olesen, Mark; Ziya Koseomur, Oguz, 2022, "preCICE Distribution Version v2202.0", https://doi.org/10.18419/darus-2613, DaRUS, V1
The preCICE distribution is the larger ecosystem around preCICE, which includes the core library, language bindings, adapters for popular solvers, tutorials, and vagrant files to prepare a virtual machine image. The compressed source files of this data set are only meant to archi...
Mar 1, 2022 - Subarea A7
Potyka, Johanna; Kromer, Johannes, 2022, "Efficient three-material PLIC Implementation as Fortran Module", https://doi.org/10.18419/darus-2488, DaRUS, V1
The dataset provides a Fortran module with the code for the efficient three-phase positioning method.
Feb 14, 2022 - Usability and Sustainability of Simulation Software
Simonis, Frédéric; Davis, Kyle; Uekermann, Benjamin, 2022, "Test Setup of Turbine Blade Data Mapping", https://doi.org/10.18419/darus-2491, DaRUS, V1, UNF:6:9SbHetN1EMzpQrXWO5FEeA== [fileUNF]
Input data, scripts, and results of the data mapping tests of section 2.2 of "Chourdakis et al., preCICE v2 - A Sustainable and User-Friendly Coupling Library, 2022".
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