151 to 160 of 278 Results
Jul 1, 2023 - PN 5-1
Huber, Felix; Bürkner, Paul-Christian; Göddeke, Dominik; Schulte, Miriam, 2023, "Experimental Data and Models for "Knowledge-Based Modeling of Simulation Behavior for Bayesian Optimization"", https://doi.org/10.18419/DARUS-3550, DaRUS, V1, UNF:6:QWTNrKTVYgetwfCBQfeWvw== [fileUNF]
These files contain the data for the OpenDiHu experiments in sections 5.1.3 and 5.2. The settings used for the OpenDiHu simulations are in the opendihu/ folder. The simulation data is in the data/ folder and the used stan models are in the models/ folder. For more details see README.md. |
Jul 1, 2023 - Usability and Sustainability of Simulation Software
Schrader, Timo Pierre; Schneider, David; Uekermann, Benjamin, 2023, "Replication Data for: Data-Parallel Radial-Basis Function Interpolation in preCICE", https://doi.org/10.18419/DARUS-3574, DaRUS, V1
This dataset contains setup and result files for the performance measurements presented in Schneider et al. "Data-Parallel Radial-Basis Function Interpolation in preCICE". Furthermore, it contains the used snapshot of preCICE, ASTE, and Gingko. See the README for information on how to build and run the cases. |
Jun 30, 2023 - PN 3-10
Xu, Xiang; Zhang, Xi; Ruban, Andrei; Schmauder, Siegfried; Grabowski, Blazej, 2023, "Replication Data for: Strong impact of spin fluctuations on the antiphase boundaries of weak itinerant ferromagnetic Ni3Al", https://doi.org/10.18419/DARUS-3579, DaRUS, V1
Data for the publication " Strong impact of spin fluctuations on the antiphase boundaries of weak itinerant ferromagnetic Ni3Al", Acta Materialia, 255, doi: 10.1016/j.actamat.2023.118986. This data set contains the training sets (VASP files), the utilized moment-tensor-potentials (MTP) and the final thermodynamic database (properties) for the three... |
Jun 30, 2023 - PN 3-11
Wachlmayr, Johann; Fläschner, Gotthold; Pluhackova, Kristyna; Sandtner, Walter; Siligan, Christine; Horner, Andreas, 2023, "Supplementary Material for 'Entropic barrier of water permeation through single-file channels'", https://doi.org/10.18419/DARUS-3390, DaRUS, V1
Facilitated water permeation through narrow biological channels is fundamental for all forms of life. This process involves dehydration of bulk water entering the single-file region and hydrogen bond formation with channel lining amino acid residues. Despite its significance in health and disease as well as for biotechnological applications the ene... |
Jun 21, 2023 - Neck Reflex Behavior in Driving Simulator Experiments
Kempter, Fabian; Lantella, Lorena; Stutzig, Norman; Fehr, Jörg; Siebert, Tobias, 2023, "Neck Reflex Behavior in Driving Simulator Experiments - Academic-Scale Simulator at ITM", https://doi.org/10.18419/DARUS-3000, DaRUS, V1
Neck movement and injury during a car crash is influenced by reflexes, strength, and flexibility. This data set contains in-vivo measurements of neck kinematics and reflexes as participants are rapidly accelerated while driving a mechanically simulated car. This data set includes measurements from a mechanical driving simulator that has a limited r... |
Jun 20, 2023 - Usability and Sustainability of Simulation Software
Willeke, Leonard; Schneider, David; Uekermann, Benjamin, 2023, "Reproduction data for: A preCICE-FMI Runner to Couple FMUs to PDE-Based Simulations", https://doi.org/10.18419/DARUS-3549, DaRUS, V1
Input files and results for two simulation examples using the preCICE-FMI runner as described in "A preCICE-FMI Runner to Couple FMUs to PDE-Based Simulations". First, the simulation of a partitioned mass-spring oscillator system is considered. All model equations are based on ODEs. The coupled simulation can be executed with a FMU models, a Python... |
Jun 7, 2023 - Usability and Sustainability of Simulation Software
Willeke, Leonard, 2023, "Replication Data for: A preCICE-FMI Runner to couple controller models to PDEs", https://doi.org/10.18419/DARUS-3408, DaRUS, V1
A preCICE-FMI Runner was developed during the Master's Thesis "A preCICE-FMI Runner to couple controller models to PDEs". It couples models using the FMI standard with other simulation programs via the coupling library preCICE. This data set contains the code and casefiles presented in the thesis, as well as instructions to replicate the results. F... |
Jun 6, 2023 - Projects without PN Affiliation
Herkert, Robin, 2023, "Replication Code for: Randomized Symplectic Model Order Reduction for Hamiltonian Systems", https://doi.org/10.18419/DARUS-3519, DaRUS, V1
This dataset includes the code to reproduce the results from the paper titled "Randomized Symplectic Model Order Reduction for Hamiltonian Systems". In this paper randomized symplectic basis generation techniques are introduced. The numerical experiments where error decay rates and runtimes from the randomized methods and the classical, non-randomi... |
Jun 5, 2023 - Usability and Sustainability of Simulation Software
Schrader, Timo Pierre, 2023, "Replication Data for: Efficient Application of Accelerator Cards for the Coupling Library preCICE", https://doi.org/10.18419/DARUS-3404, DaRUS, V1
This dataset contains all testcase setup files and result files for the measurements presented in the Master's thesis with the title "Efficient Application of Accelerator Cards for the Coupling Library preCICE" (Author: Timo Pierre Schrader). Furthermore, it contains the version of preCICE used throughout this thesis. The thesis revolves around GPU... |
May 26, 2023 - Materials Design
Gubaev, Konstantin; Zaverkin, Viktor; Srinivasan, Prashanth; Duff, Andrew; Kästner, Johannes; Grabowski, Blazej, 2023, "Data for: Performance of two complementary machine-learned potentials in modelling chemically complex systems", https://doi.org/10.18419/DARUS-3516, DaRUS, V1
Data for the publication "Performance of two complementary machine-learned potentials in modelling chemically complex systems", npj. Comp. Mat. This data set contains the datasets of structures in cfg and npz formats INCAR file which was used for VASP calculations python script for reading npz format These are essentially the 2-, 3-, and 4-componen... |
