41 to 50 of 2,475 Results
Aug 6, 2026 - Modelling, Simulation and Optimization for Agonist-Antagonist Myoneural Interface Surgeries
Homs-Pons, Carme; Villota, Yesid; Doreti, Lalith Kumar; Klink, Marian; Lautenschlager, Robin; Göddeke, Dominik; Schulte, Miriam; Röhrle, Oliver, 2026, "Replication Data for: A partitioned coupling approach for electromechanics simulations of skeletal muscles using FEBio", https://doi.org/10.18419/DARUS-6125, DaRUS, V2
This dataset contains all setup files and instructions to reproduce the experiments in "A partitioned coupling approach for electromechanics simulations of skeletal muscles using FEBio". In particular, we provide all the input files required to run simulations of muscle contraction using the OpenDiHu and FEBio mechanics solvers. The mechanics solve... |
Aug 6, 2026 - Institute of Flight Mechanics and Controls
Olucak, Jan; Cunis, Torbjørn, 2026, "Supplementary Material for Input-to-state Stable Approximate Nonlinear Model Predictive Control with Realtime Feasibility", https://doi.org/10.18419/DARUS-5769, DaRUS, V1
This data repository supplements the paper "Input-to-state Stable Approximate Nonlinear Model Predictive Control with Realtime Feasibility". It contains additional documentation, derivations and MATLAB source code to reproduce the numerical examples. Requirements and Setup: 1. Download CasADi v3.6.7 and add it to your Matlab path. 2. Download and i... |
Aug 5, 2026 - Graduate School Intelligent Methods for Semiconductor Test and Reliability
Strobel, Tim, 2026, "Ring Oscillator Characterization under Supply Voltage and Body Bias Variation in 22nm FDSOI Technology", https://doi.org/10.18419/DARUS-5866, DaRUS, V1
This dataset provides electrical characterization measurements of ten ring oscillator devices under test (DUT), implemented in 22nm fully depleted silicon-on-insulator (FDSOI) technology. All measurements were performed using an Advantest V93000 automated test equipment (ATE) under systematically varied supply voltage and body bias conditions. For... |
Aug 5, 2026 - 2024_DFG_ZRA-Gleichlauf_Umkehrspiel
Lehner, Jannik, 2026, "Replication Data for: Compensating for Backlash in Rack-and-Pinion Drives Using Gain-Scheduled Cascade Control", https://doi.org/10.18419/DARUS-6333, DaRUS, V1, UNF:6:eyA0hRB6DiSWinZMkKGnUQ== [fileUNF]
This dataset contains all the measurement data presented in the paper "Compensating for Backlash in Rack-and-Pinion Drives Using Gain-Scheduled Cascade Control". In order to compensate for the inherent backlash of rack-and-pinion drives commonly used as feed drives in large machine tools, the paper presents a gain scheduling algorithm for the posit... |
Aug 4, 2026 - HLRS-exaFOAM
Cunha Galeazzo, Flavio Cesar; Ruopp, Andreas, 2024, "exaFOAM Industrial Benchmark B6 - Offshore Wind Park", https://doi.org/10.18419/DARUS-3975, DaRUS, V2
This work is part of the exaFOAM project, aimed at optimizing the open-source CFD software OpenFOAM for massively parallel HPC architectures and overcoming performance bottlenecks. In the analysis of wind parks, the flow around the wind turbines is dominated by small-scale fluid dynamics (< 2 km), which in turn depends on mesoscale atmosphere dynam... |
Aug 4, 2026 - Institute of Aerospace Thermodynamics
Schulte, Kathrin; Wurst, Jonathan, 2026, "Replication Data for: Finger splashing of droplet impacts onto submillimeter microstructures", https://doi.org/10.18419/DARUS-6353, DaRUS, V1
Supplementary material to the manuscript: J. Wurst, K. Schulte, "Finger splashing of droplet impacts onto submillimeter microstructures", referred to as "related publication" in the following: The process of finger splashing during droplet impact onto cubic pillars is investigated by means of direct numerical simulations. The mechanism as well as t... |
Aug 3, 2026 - Holm group
Drotleff, Jannik; Tovey, Samuel; Hohenberger, Paul; Lohrmann, Christoph; Hoßbach, Julian; Nikolaou, Konstantin; Holm, Christian, 2026, "Replication Data for: "Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries"", https://doi.org/10.18419/DARUS-6350, DaRUS, V1
This dataset contains all scripts and files to replicate the results of our paper "Reinforcement Learning Enables Autonomous Microrobot Navigation and Intervention in Simulated Blood Capillaries". It includes simulation data, analysis outputs, and precomputed results. The files are organized by workflow stage: field generation, training, deployment... |
Jul 31, 2026 - Material Programming
Kiesewetter, Laura; Sahin, Ekin Sila; Marsillo, Laura; Cheng, Tiffany; Menges, Achim, 2026, "Double-Curved Self-Shaping Wood Chair: Geometry, Fabrication, and Performance Data", https://doi.org/10.18419/DARUS-6124, DaRUS, V1
This dataset documents the geometry, fabrication, structural performance, and self-shaping process of a double-curved wooden chair shell prototype. It contains design geometry, fabrication files, 3D scan data, structural-performance documentation, interval photographs, and image metadata. The dataset supports the documentation and validation of a m... |
Jul 30, 2026 - Associated Research
Jenadeleh, Mohsen; Sneyers, Jon; Ascenso, João, 2026, "JPEG AIC2026: Fine-grained image compression dataset", https://doi.org/10.18419/DARUS-6156, DaRUS, V2, UNF:6:XijMAc83sLBGJd3690d0/g== [fileUNF]
Recent advances in conventional and learning-based image coding have increased the demand for benchmark datasets that support fine-grained assessment of compressed image quality, particularly for learning-based image compression methods. The data in this dataset represent Assessment of Image Coding 2026 (AIC2026), a large-scale dataset for high-fid... |
Jul 30, 2026 - ANDroMeDA
Schurig, Fabian, 2026, "Wind profiles from ANDroMeDA measurement UAV at the WINSENT test site", https://doi.org/10.18419/DARUS-6101, DaRUS, V1, UNF:6:k72al266V99VER+IHmvHdw== [fileUNF]
The data was acquired at the WINSENT test site behind the Northern turbine and was measured during two profile flights. The UAV2 and UAV3 started and were slowly rising up to 100m and slowly descending. This was performed two times each flight. |
