71 to 80 of 2,475 Results
Jul 16, 2026 - Materials Design
Ou, Yongliang; Scholz, Lena; Keshav, Sanath; Ikeda, Yuji; Kraft, Marvin; Divinski, Sergiy; Gomez-Bombarelli, Rafael; Zeier, Wolfgang; Fritzen, Felix; Grabowski, Blazej, 2026, "Data for: Microstructural Insights into Fast Ion Transport in Solid Electrolytes via Multiscale Modeling", https://doi.org/10.18419/DARUS-5959, DaRUS, V2
The atomistic dataset includes DFT and MD input files, training configurations, and fitted MTPs. The continuum dataset contains the employed geometries, full-field solutions, and effective responses. Scripts for performing quality-level-based local active learning, generating bulk, GB, and polycrystal structures, and analysis are included. Scripts... |
Jul 15, 2026 - A01 Gas-Surface Interactions Investigated by Atomistic Simulations
Segreto, Nico; Kästner, Johannes; Boskovice, Jovan; Beck, Andrea, 2026, "Data for "Machine Learning Driven Simulations of Hyperthermal Atomic Oxygen Impacts on (0001) Al2O3 for Low Altitude Satellite Design"", https://doi.org/10.18419/DARUS-5785, DaRUS, V1
This repository contains the data for the paper "Machine Learning Driven Simulations of Hyperthermal Atomic Oxygen Impacts on (0001) Al2O3 for Low Altitude Satellite Design". This includes both the simulation results as well as workflows and input files needed to recreate the results. |
Jul 14, 2026 - SOFIA Technology and Operations Archive
SOFIA Data Center, 2026, "Using the SOFIA Technology and Operations Archive on DaRUS", https://doi.org/10.18419/DARUS-5885, DaRUS, V2
This document describes how to use the “SOFIA Technology and Operations Archive” (TOA), which is stored in the Data Repository of the University of Stuttgart (DaRUS). The document focuses on the archive’s contents as well as on using DaRUS’s features to easily and securely locate documents based on specific search criteria. The main part of the arc... |
Jul 13, 2026 - Chair for Transport Planning and Traffic Engineering
Seelhorst, Kea; Friedrich, Markus; Pillat, Juliane; Mellinger, Nicolas; Klein, Sascha; Manz, Wilko, 2026, "Abbildung von Klimaschutzmaßnahmen in Verkehrsnachfragemodellen - DemoModelle", https://doi.org/10.18419/DARUS-5955, DaRUS, V1
Im Rahmen des FoPS-Projekts 70.919/2015 "Abbildung von Klimaschutzmaßnahmen in Verkehrsnachfragemodellen" sind Demo-Verkehrsnachfragemodelle entstanden, die vier Erweiterungen der Verkehrsnachfragemodellierung um Klimaschutzmaßnahmen aufbauend auf den EVNM-PV (FGSV 2022) exemplarisch abbilden. Die Modelle zeigen eine beispielhafte Implementierung v... |
Baum, Sebastian; Heinzelmann, Pascal, 2026, "Real Deep Drawing and Cutting (RDDAC) Dataset", https://doi.org/10.18419/DARUS-5589, DaRUS, V1, UNF:6:z1OSuc7/svv2hP/9IbFI8w== [fileUNF]
Code, quick-start examples and full documentation: https://github.com/BaumSebastian/RDDAC. The Real Deep Drawing and Cutting (RDDAC) Dataset is the experimental counterpart to the DDACS simulation dataset. It contains physical measurements from a deep drawing and cutting process for DP600 sheet metal, captured on modified quadratic cups, and is int... |
Jul 10, 2026 - Institute of Aerodynamics and Gas Dynamics
Gagnon, Louis; Lutz, Thorsten, 2024, "Data for: Transforming Laser-Scanned 750 kW Turbine Surface Geometry Data into Smooth CAD for CFD Simulations", https://doi.org/10.18419/DARUS-3859, DaRUS, V5
Key points to ensure correct use of this data: Twist and chord: use the twist (adding 7.5° to it) and chord distributions of these blades together with the provided polars of each polar set (blade number and 2D/3D). Do not mix distributions between polar sets, or if you do, see the following sub-point: The twist, chord, and Reynolds number distribu... |
Jul 10, 2026 - Usability and Sustainability of Simulation Software
Neubauer, Felix, 2026, "Replication Data for: AI-Assisted RDF Authoring from JSON Data", https://doi.org/10.18419/DARUS-6299, DaRUS, V1, UNF:6:j3H34z5Ux4jb6/he8Hprww== [fileUNF]
This dataset accompanies the paper AI-Assisted RDF Authoring from JSON Data. It contains the metal-organic framework (MOF) synthesis JSON input used in the paper, the natural-language hints submitted to MetaConfigurator's AI assistant, the RML mappings generated from those hints, the RDF (JSON-LD) results obtained by executing the mappings, the SHA... |
Jul 10, 2026 - SynTrac_C02
Gösele, David, 2026, "Supplementary Data for: Numerical method for imposing a pinned contact line boundary condition in 2D VOF simulations", https://doi.org/10.18419/DARUS-6277, DaRUS, V1, UNF:6:jDcZj6lULVavH2bv0EkZIQ== [fileUNF]
Data and Animations to the manuscript: David Gösele, Johannes C. Müller, Jonathan Wurst, Mathis Fricke, Kathrin Schulte "Numerical method for imposing a pinned contact line boundary condition in 2D VOF simulations", referred to as "related publication" in the following: We propose a boundary condition for the volume-of-fluid (VOF) method that uses... |
Jul 10, 2026 - Institute of Engineering and Computational Mechanics
Kargl, Arnim; Ebel, Henrik; Eberhard, Peter, 2026, "Supplementary Material from Investigating Advantageous Approaches for Incorporating DAE-Based Multibody Models in Model Predictive Control Problems", https://doi.org/10.18419/DARUS-5751, DaRUS, V2
This repository provides supplementary material alongside the publication, namely the Matlab implementation, i.e., scripts and functions, for the studied five-bar linkage system, and an animation of the studied serial manipulator with flexible link. The Matlab implementation provides all variants of optimal control problems, which are mentioned wit... |
Jul 9, 2026 - Analytic Computing
Thapa, Ratan Bahadur; Hernández, Daniel, 2026, "Artifacts for: Identifiability of Relational Queries in Multi-View Pretraining", https://doi.org/10.18419/DARUS-6292, DaRUS, V1
This dataset contains the complete replication artifacts for the paper Identifiability of Relational Queries in Multi-View Pretraining (Ratan Bahadur Thapa and Daniel Hernández). The paper studies when a relational query is identifiable from a data-integration interface—that is, when every legal completion of the data consistent with the interface... |
