661 to 670 of 3,489 Results
Dec 15, 2025 - Institute of Applied Analysis and Numerical Simulation
Kemlin, Gaspard; Carvalho Corso, Thiago; Stamm, Benjamin; Melcher, Christof, 2025, "Replication Data for: "Simulation of the magnetic Ginzburg-Landau equation via vortex tracking"", https://doi.org/10.18419/DARUS-5604, DaRUS, V1
Data for reproducibility of the numerical simulations of the research paper "Simulation of the magnetic Ginzburg-Landau equation via vortex tracking". The .zip file contains everything needed to generate the plots shown in the paper, as well as the code to run your own simulations with the numerical method presented in the paper. You just have to e... |
Dec 15, 2025 - Institute for Reactive Flows (IRST)
Liu, Weitao; Kronenburg, Andreas; Gärtner, Jan Wilhelm; Kirchmann, Jonas; Zirwes, Thorsten, 2025, "Replication Data for: Sparse-Lagrangian MMC modelling of the Sandia ethylene sooting flame", https://doi.org/10.18419/DARUS-4722, DaRUS, V1
General Information This repository provides the cases/dataset for reproducing the results in the PCI paper (Proceedings of the Combustion Institute 40 (2024) 105346), which studies two soot modeling strategies, including the two-equation and sectional models, in the context of MMC-LES (mmcFoam) for the Sandia turbulent ethylene flame. Software The... |
Dec 11, 2025 - PN 6-4
Künzel, Sebastian; Weiskopf, Daniel, 2025, "Replication Data for: "BSP k-Means"", https://doi.org/10.18419/DARUS-5575, DaRUS, V1
This dataset contains reference implementations in C++ and CUDA for the algorithm presented in the paper "BSP k-Means". The purpose of the data is to allow replication of the reported results. |
Dec 9, 2025 - Institute for Computational Physics
Stephan, Rebecca; Ranoo, Surojit; Kreissl, Patrick; Pabshettiwar, Chinmay; Kubis, Jessica; Holm, Christian; Schmidt, Annette; von Klitzing, Regine; Weeber, Rudolf, 2025, "Dataset for: Nanoparticle-Polymer Coupling in Magnetic Gels Studied by Means of Computer Simulations and Experiments", https://doi.org/10.18419/DARUS-5534, DaRUS, V1, UNF:6:95dcK1WXxOkyv53APmsDjw== [fileUNF]
This dataset contains the data in context with the named paper - Nanoparticle-Polymer Coupling in Magnetic Gels Studied by Means of Computer Simulations and Experiments - namely the raw data of the plots and the plot skripts to generate them. The experimental data comprises AC magnetic susceptibility spectra of a PAAm hydrogel loaded with cobalt fe... |
Dec 9, 2025 - PN 2-6
Range, Jan Peter; Pleiss, Jürgen; Bommarius, Andreas, 2025, "Kinetic modeling of enzymatic cephalexin synthesis with neural ODEs and surrogate-accelerated Bayesian inference", https://doi.org/10.18419/DARUS-5539, DaRUS, V1, UNF:6:l47sIu5Gd2e6cn3HDM5h6g== [fileUNF]
α-Amino ester hydrolases (AEHs) offer a promising route to the stereoselective synthesis of β-lactams such as cephalexin. However, published kinetic studies have encountered difficulty when extended beyond fitting of the data, indicating practical non-identifiability of the underlying kinetic models. Here, we address this issue using Bayesian infer... |
Dec 5, 2025 - SFB 1333 A1+B2 - Buchmeiser group, IPOC-MSF
Kundu, Koushani; Frey, Wolfgang; Buchmeiser, Michael, 2025, "Replication Data for: Synthetic and Structural Peculiarities in Molybdenum(VI) Nitrido N-Heterocyclic Carbene Complexes", https://doi.org/10.18419/DARUS-5518, DaRUS, V1
All primary data files of measurements and processed data of the journal article mentioned can be found here. This dataset contains the ¹H, ¹⁹F, and ¹³C NMR spectra of all the novel complexes, as well as the single-crystal X-ray structures of selected complexes. |
Dec 5, 2025 - EXC IntCDC RP 9.2: Data Processing and AI for Predictive and Adaptive Co-Design
Skoury, Lior; Asaf, Ofer; Sprecher, Aaron; Menges, Achim; Wortmann, Thomas, 2025, "Digital-Twin Data for Large-Scale 3D Printing", https://doi.org/10.18419/DARUS-4817, DaRUS, V1
MTRL_DATASET - Material Analysis Tools Overview This project contains a dataset from research on a data-informed digital twin for large-scale 3D printing. The data was collected through a series of experiments using two machines: (i) a Kuka KR50R2500 industrial robot and (ii) a MAI® MULTIMIX-3D mortar mixing pump. Additionally, measurements of the... |
Dec 4, 2025 - Institute of Engineering and Computational Mechanics
Baumann, Andreas; Eberhard, Peter, 2025, "Visualizations from Investigation of Reducing Metalworking Fluid Consumption in Deep-Hole Drilling using SPH", https://doi.org/10.18419/DARUS-5454, DaRUS, V1
The reduction of metalworking fluid (MWF) in machining processes allows the reduction of costs and energy consumption. However, the process reliability, especially for deep-hole drilling, is influenced significantly by the MWF and its ability to evacuate the created chips out of the borehole. The related work investigates the application of Smoothe... |
Dec 2, 2025
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