571 to 580 of 2,499 Results
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 - Holm group
Fellner, Tobias; Kreplin, David; Tovey, Samuel; Holm, Christian, 2025, "Replication Data and Scripts for: Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning", https://doi.org/10.18419/DARUS-5559, DaRUS, V1, UNF:6:/KCneqwPSHA/bOwlAibpVQ== [fileUNF]
The data and scripts provided here are for reproducing the results of "Quantum vs. classical: A comprehensive benchmark study for predicting time series with variational quantum machine learning" Mach. Learn.: Sci. Technol. 7 010501 (2026) (doi: 10.1088/2632-2153/ae365f). See the README.md file for details and instructions. |
Dec 2, 2025 - C01: A Lattice-Boltzmann investigation of two-phase electrolyte flow in porous structures with morphology alterations and tunable interfacial wetting behaviour
Agrawal, Adyant; Gravelle, Simon; Holm, Christian; Schlaich, Alexander, 2025, "Input files and workflow scripts for molecular simulations of salt crystal growth under supersaturation", https://doi.org/10.18419/DARUS-5540, DaRUS, V1
Set of GROMACS molecular dynamics input scripts, Python helper tools, and workflow scripts for simulating salt precipitation under controlled supersaturation. The repository provides: Atomistic crystal slab configurations for NaCl, KCl, and Na2SO4; Non-equilibrium crystal growth via reservoir ion-exchange; Direct-coexistence solubility measurement... |
Dec 1, 2025 - PN 5-2 (II)
Buntic, Ivan; Flemisch, Bernd, 2025, "Replication Code for: Augmenting a pure and hybrid vertical equilibrium scheme via data-driven surrogate modelling", https://doi.org/10.18419/DARUS-5343, DaRUS, V2
This data set contains the source code to reproduce the simulation and data-driven models for the publication Augmenting a pure and hybrid vertical equilibrium scheme via data-driven surrogate modelling, that has been submitted to the Transport in Porous Media journal. Files README.md: Instructions on installing all necessary modules using git or D... |
Dec 1, 2025 - Institute of Aerospace Thermodynamics
Saha, Rishav; Inal, Cemre; Kumar, Manish; Weigand, Bernhard, 2025, "Numerical Data for: DNS of water droplet impact onto smooth surfaces at various static contact angles", https://doi.org/10.18419/DARUS-5365, DaRUS, V1
In this work, we studied the droplet spreading process and its dependence on the Weber number. We also investigated the influence of the static contact angle on the maximum spreading. This study employs a Computational Fluid Dynamics (CFD) framework to simulate the impact dynamics using the Finite Volume method. The interface is defined by the Volu... |
