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1 to 10 of 29 Results
Jun 6, 2024 - PN 1-8
Stärk, Philipp; Schlaich, Alexander, 2024, "Supporting Information: Chemical Potential Differences in Nanoscopic Teflon/Kapton Capillaries", https://doi.org/10.18419/darus-3149, DaRUS, V1
This is the repository holding the supporting information for atomistic Molecular Dynamics Simulations of Teflon/Kapton capillaries. Here we list the simulation input scripts as well as analysis scripts. See the README file for more information.
Jun 6, 2024 - Learned surrogate models of dynamic systems
Raff, Maximilian; Remy, C. David, 2024, "Periodic Trajectories of Passive One-Legged Hopper", https://doi.org/10.18419/darus-4237, DaRUS, V1
General The one-legged hopper depicted in hooper.png is energetically conservative. The state of the system is given by the horizontal position (x), the vertical position (y), the leg rotation angle (alpha), and their respective velocities. The data required to comprehensively de...
Jun 6, 2024 - Projects without PN Affiliation
Herkert, Robin, 2024, "Replication Code for: Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data", https://doi.org/10.18419/darus-4227, DaRUS, V1
This dataset includes the code to reproduce the results from the paper titled "Greedy Kernel Methods for Approximating Breakthrough Curves for Reactive Flow from 3D Porous Geometry Data". In this paper we address the challenging application of 3D pore scale reactive flow under va...
Playground(Universität Stuttgart)
Jun 4, 2024Research Software and Data Management
Testing testing testing...
Jun 3, 2024 - Usability and Sustainability of Simulation Software
Chen, Jun; Chourdakis, Gerasimos; Desai, Ishaan; Homs-Pons, Carme; Rodenberg, Benjamin; Schneider, David; Simonis, Frédéric; Uekermann, Benjamin; Davis, Kyle; Jaust, Alexander; Kelm, Mathis; Kotarsky, Niklas; Kschidock, Helena; Mishra, Durganshu; Mühlhäußer, Markus; Schrader, Timo Pierre; Schulte, Miriam; Seitz, Valentin; Signorelli, Joseph; van Zwieten, Gertjan; Vinnitchenko, Niklas; Vladimirova, Tina; Willeke, Leonard; Zonta, Elia, 2024, "preCICE Distribution Version v2404.0", https://doi.org/10.18419/darus-4167, 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...
May 27, 2024 - PN 6-4
Munz-Körner, Tanja; Weiskopf, Daniel, 2024, "Supplemental Material for "Exploring Visual Quality of Multidimensional Time Series Projections"", https://doi.org/10.18419/darus-3965, DaRUS, V1
Supplemental material for our paper "Exploring visual quality of multidimensional time series projections": A video demonstrating the interactive use of our exploration system. A table containing publications using dimensionality reduction on multidimensional time series to proje...
May 27, 2024 - PN 6-4
Munz-Körner, Tanja; Weiskopf, Daniel, 2024, "Visual Analysis System to Explore the Visual Quality of Multidimensional Time Series Projections", https://doi.org/10.18419/darus-3553, DaRUS, V1
Source code of our visual analysis system for the exploration of the visual quality of multidimensional time series projections. This project contains source code for preprocessing data and the visual analysis system. Additionally, we added precomputed data for immediate use in t...
Dataverse-PN-X(Universität Stuttgart)
May 23, 2024Projects without PN Affiliation
May 22, 2024 - Projects without PN Affiliation
Herkert, Robin, 2024, "Replication Code for: Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems", https://doi.org/10.18419/darus-4185, DaRUS, V1
This dataset includes the code to reproduce the results from the paper titled "Error Analysis of Randomized Symplectic Model Order Reduction for Hamiltonian systems". In this paper randomized symplectic basis generation techniques are introduced. The numerical experiments where e...
May 21, 2024PN 4
Time-series data from robotic systems and simulations exhibiting nonlinear/non-smooth behaviour.
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