11 to 20 of 293 Results
Mar 28, 2025PN 6
Spatiotemporal ensembles often result from physical simulations. These ensembles contain many information-rich members, each corresponding to different simulation input parameters. The extensive data size makes manual analysis infeasible, necessitating automated approaches to assist the analysis. In the preceding project (PN 6-8 (I)), methods and t... |
Mar 11, 2025 - PN 5-13
Duvenbeck, Lennart; Riethmüller, Cedric; Rohde, Christian, 2025, "Matlab Code and Data for: Data-driven geometric parameter optimization for PD-GMRES", https://doi.org/10.18419/DARUS-4812, DaRUS, V1
This repository contains the Matlab code and generated data for the manuscript "Data-driven geometric parameter optimization for PD-GMRES" which uses a quadtree approach to optimize parameters for the iterative solver PD-GMRES. It includes hardware specific data to allow for reproducibity of our results. Our calculations were performed using MATLAB... |
Feb 12, 2025 - Usability and Sustainability of Simulation Software
Homs-Pons, Carme; Schneider, David; Simonis, Frédéric; Schulte, Miriam; Uekermann, Benjamin, 2024, "Replication Data for: Partitioned Multiphysics Simulation of an Electrophysiological Three-Tendon-Biceps Model", https://doi.org/10.18419/DARUS-4228, DaRUS, V2
This dataset contains software (preCICE v3.1.2, OpenDiHu, deal.II-based solver and ASTE) as well as setup files and instructions to reproduce the experiments "Partitioned Multiphysics Simulation of an Electrophysiological Three-Tendon-Biceps Model". The actual results of the experiments are also included. See the README file for more information ab... |
Keim, Leon; Class, Holger, 2024, "Replication Data for: Rayleigh invariance allows the estimation of effective CO2 fluxes due to convective dissolution into water-filled fractures", https://doi.org/10.18419/DARUS-4143, DaRUS, V2
This dataset features both data and code related to the research article titled "Rayleigh Invariance Enables Estimation of Effective CO2 Fluxes Resulting from Convective Dissolution in Water-Filled Fractures." It includes raw data packaged in tarball format, including Python scripts used to derive the results presented in the publication. High-reso... |
Jan 13, 2025 - demoa
Hammer, Maria; Riede, Julia Maria; Meszaros-Beller, Laura; Schmitt, Syn, 2022, "gspine: A Human Spine Model Built Using Literature Data", https://doi.org/10.18419/DARUS-2814, DaRUS, V4
A fully articulating human spine model parametrised using generic literature data for the geometry of the skeleton including attachment points for ligaments and muscles. The model is prepared to run muscle-driven simulations using a simple biological motor control model. The file contains an archive including all relevant data to run the simulation... |
Zhang, Xiaoyu, 2024, "Models and Prepared Datasets for Iterative Modeling of Two Heat Pumps", https://doi.org/10.18419/DARUS-4518, DaRUS, V3
Prepared datasets and models for iterative modeling of heat plumes in groundwater. Models were trained with Iterative modeling. File explanation: 1HP.zip This zip file contains all prepared datapoints with a single heat pump. The input data fields are pressure, permeability, position of the heat pump, normalized distance to the heat pump, and tempe... |
Dec 19, 2024 - Surrogate models for groundwater flow simulations
Hofmann, Johanna, 2024, "Models and Prepared Datasets for Convolutional Long Short-Term Memory (ConvLSTM) Networks", https://doi.org/10.18419/DARUS-4514, DaRUS, V2
The dataset contains trained ConvLSTM models for heat plume extension and the prepared dataset for training and testing. In this repo the code for model training and dataset preparation is published. The last relevant git commit is 0a148e6131b98260. The prepared dataset for training is called ep_medium_1000dp_only_vary_dist inputs_ks. It consists o... |
