1 to 6 of 6 Results
Dec 16, 2024 - Usability and Sustainability of Simulation Software
Schneider, David; Uekermann, Benjamin, 2024, "Replication Data for: Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems", https://doi.org/10.18419/DARUS-4168, DaRUS, V1
This dataset contains software (preCICE v3.1.1 and ASTE) as well as setup files and instructions to reproduce the experiments of Schneider and Uekermann "Efficient Partition-of-Unity Radial-Basis Function Interpolation for Coupled Problems". We, moreover, provide the actual results. See the README for information on how to build and rerun the cases... |
Nov 12, 2024 - Usability and Sustainability of Simulation Software
Schneider, David; Yurt, Muhammed Kürşat; Simonis, Frédéric; Uekermann, Benjamin, 2024, "ASTE: An artificial solver testing environment for partitioned coupling with preCICE", https://doi.org/10.18419/DARUS-4562, DaRUS, V2
This dataset contains a software archive of the artificial solver testing environment ASTE (version v3.3.0), its corresponding documentation (as a PDF) and the compatible ASTE turbine tutorial. The documentation of ASTE is its README.md (in 'docs/README.md') converted to a PDF. The turbine tutorial is part of the preCICE tutorials in the preCICE di... |
Aug 27, 2024 - PN 7-6
Kneifl, Jonas; Rettberg, Johannes; Herb, Julius, 2024, "ApHIN - Autoencoder-based port-Hamiltonian Identification Networks (Software Package)", https://doi.org/10.18419/DARUS-4446, DaRUS, V1
Software package for data-driven identification of latent port-Hamiltonian systems. Abstract Conventional physics-based modeling techniques involve high effort, e.g.~time and expert knowledge, while data-driven methods often lack interpretability, structure, and sometimes reliability. To mitigate this, we present a data-driven system identification... |
Jun 18, 2024 - PN 6A-4
Álvarez Chaves, Manuel; Ehret, Uwe; Guthke, Anneli, 2024, "UNITE Toolbox", https://doi.org/10.18419/DARUS-4188, DaRUS, V1
UNITE Toolbox Unified diagnostic evaluation of scientific models based on information theory The UNITE Toolbox is a Python library for incorporating Information Theory into data analysis and modeling workflows. The toolbox collects different methods of estimating information-theoretic quantities in one easy-to-use Python package. Currently, UNITE i... |
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 archive this specific version v2404.0 of the distribution and make it citab... |
Mar 14, 2024 - PN 6A-4
Alvarez Chaves, Manuel; Gupta, Hoshin; Ehret, Uwe; Guthke, Anneli, 2024, "Replication Data for: On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data", https://doi.org/10.18419/DARUS-4087, DaRUS, V1
Non-Parametric Estimation in Information Theory 1. Introduction This is a repository for our paper on: "On the Accurate Estimation of Information-Theoretic Quantities from Multi-Dimensional Sample Data". The projects is organizes as follows: ├── analysis_results\
│ ├── plots\
├── data_evaluation\
│ ├── data\
│ ├── notebooks\
│ ├── results\... |