11 to 20 of 2,109 Results
May 11, 2026 - Optimization & Uncertainty Quantification
Grünfelder, Nicolas; Pi Savall, Berta; Seyedpour, Seyed Morteza; Waschinsky, Navina; Ricken, Tim, 2026, "Exploring the Dependencies of Poisson’s Ratio in Auxetic Structures", https://doi.org/10.18419/DARUS-4322, DaRUS, V1
In this repository, an Abaqus Python scripting approach for a natural frequency analysis of an auxetic lattice structure is presented. The script "Modal_4x4x4_Lattice.py" produces an input file for Abaqus that controls all necessary preprocessing and simulation steps. Additionally, for the first step of postprocessing, all needed results are extrac... |
May 11, 2026 - Optimization & Uncertainty Quantification
Grünfelder, Nicolas; Kälber, Lars; Waschinsky, Navina; Ricken, Tim, 2026, "Replication Data for: Shape Optimization of auxetic unit cells under dynamic loading in macroscopic components", https://doi.org/10.18419/DARUS-4777, DaRUS, V1
In this repository, an Python scripting approach for a Bayesian shape optimization, with an Abaqus implimentation for solving for natural frequencies and harmonic response simulation, is presented. The script "Shape_Opt_Master.py" controls all the necessary functions and contains the optimization as a wrapping function around the Abaqus simulations... |
May 11, 2026 - Institut für Strahlwerkzeuge
Wahl, Johannes, 2026, "Supplementary data for paper "Material-specific beam-plume interactions during deep-penetration laser welding of stainless steel, aluminium, and copper"", https://doi.org/10.18419/DARUS-4757, DaRUS, V1
This repository is related to the publication "Material-specific beam-plume interactions during deep-penetration laser welding of stainless steel, aluminium, and copper" published in the Journal of Advanced Joining Processes. The repository contains videos of the vapour plume with different filter configurations for welding of stainless steel, alum... |
May 11, 2026 - PN 3-11
Korn, Viktoria Helena; Pluhackova, Kristyna, 2026, "Supplementary Material for "Refinement of CHARMM36m force field parameters for protein phosphorylation by force-matching"", https://doi.org/10.18419/DARUS-5682, DaRUS, V2
GROMACS simulation files, input and final structures for CHARMM36m MD simulations including our refined parameters for phosphorylated serine in 3 different protonation states. The directory charmm36-jul22mod.ff contains our refined parameters. |
May 8, 2026 - Institute of Engineering and Computational Mechanics
Kilittuwa Gamage, Ishan Anjana; Pimentel, Rodolfo; Baumann, Andreas; Eberhard, Peter, 2026, "Simulation Results from Numerical Investigation of Tool Geometries in Friction Stir Welding of Aluminum Alloy 2024-T351 Using Smoothed Particle Hydrodynamics", https://doi.org/10.18419/DARUS-5935, DaRUS, V1
Friction Stir Welding (FSW) is a state-of-the-art solid-state joining technique that has gained increasing attention in recent years due to its ability to produce high-quality welds in lightweight alloys. It uses a non-consumed rotating tool to generate frictional heat, softening the material, and stirring it, resulting in material joining by mixin... |
May 8, 2026 - 2024_DFG_HyComp2
Bauer, Christian Johannes Eugen; Nowinski, Simon, 2026, "Replication Data for: "Transmission Error Compensation for Industrial Robots Using Fourier Series"", https://doi.org/10.18419/DARUS-5760, DaRUS, V1, UNF:6:z/yd7h16O3XuorDrlKrB7A== [fileUNF]
This dataset contains all identification and validation data used in the conference paper "Transmission Error Compensation for Industrial Robots Using Fourier Series". The experimental data was recorded using an experimental setup to identify the transmission error of the gearboxes in a Stäubli TX2-40 as described in the paper. The data is divided... |
May 8, 2026 - Usability and Sustainability of Simulation Software
Sajith, Durga Lakshmi, 2026, "Replication Data for: Fine-Tuning Large Language Models for JSON Schema Generation and Modification", https://doi.org/10.18419/DARUS-5914, DaRUS, V1
This dataset contains a training dataset consisting of natural language description-JSON Schema pairs, which can be used to fine-tune LLMs and an evaluation dataset, which can be used to assess the JSON Schema generation capability of LLMs. The evaluation dataset consists of five categories with prompts and their corresponding ground truth schemas.... |
May 7, 2026 - LTNE model comparison - convection & conduction
Kostelecky, Anna Mareike, 2026, "DuMuX code for dual network for: "LTNE model comparison - convection & conduction"", https://doi.org/10.18419/DARUS-5876, DaRUS, V1
This dataset contains the source code to reproduce the simulations for the dual network model presented in Kostelecky et al., Local Thermal Non-Equilibrium Models in Porous Media: A Comparative Study of Convection including Conduction Effects, Transport in Porous Media \TODO: add doi after acceptance. Files README.md: Instruction about installation... |
May 7, 2026 - LTNE model comparison - convection & conduction
Stefansson, Ivar, 2026, "PorePy code for REV simulations for: "LTNE model comparison - convection & conduction"", https://doi.org/10.18419/DARUS-5878, DaRUS, V1
This dataset contains the source code to reproduce the simulations for the REV-scale model presented in Kostelecky et al., Local Thermal Non-Equilibrium Models in Porous Media: A Comparative Study of Convection including Conduction Effects, Transport in Porous Media. \TODO: add doi after acceptance. Files ltne_convection_v1.0.0.tar: compressed dock... |
May 7, 2026 - LTNE model comparison - convection & conduction
Kostelecky, Anna Mareike, 2026, "Replication Data for: "LTNE model comparison - convection & conduction"", https://doi.org/10.18419/DARUS-5879, DaRUS, V1
This data set contains the data to reproduce the figures presented in Kostelecky et al., Local Thermal Non-Equilibrium Models in Porous Media: A Comparative Study of Convection including Conduction effects, Transport in Porous Media. \TODO: add doi after acceptance. 1. Final figures The final figures of the paper can be found in plots_final.tar.xz.... |
