221 to 230 of 3,064 Results
Dec 19, 2025 - 4th Physics Institute
Angstenberger, Simon, 2025, "Data for: "Vibrational Fingerprinting of Gas Mixtures Using COCO-QEPAS"", https://doi.org/10.18419/DARUS-5622, DaRUS, V1
Detection and simultaneous monitoring of multiple trace gases is vital in scientific and industrial processes. Here, we use coherent control in quartz-enhanced photoacoustic spectroscopy (COCO-QEPAS) with an in-situ learning method for rapid fingerprinting of trace gases to identify and monitor arbitrary gases at very low concentrations, without pr... |
Dec 17, 2025 - Materials Design
Forslund, Axel; Jung, Jong Hyun; Ikeda, Yuji; Grabowski, Blazej, 2025, "Data for: Free-energy perturbation in the exchange-correlation space accelerated by machine learning: Application to silica polymorphs", https://doi.org/10.18419/DARUS-4999, DaRUS, V1
Data for the Publication Free-energy perturbation in the exchange-correlation space accelerated by machine learning: Application to silica polymorphs This data set contains: Data for/from the direct upsampling for the rung 1–3 functionals: The effective harmonic potentials The final moment-tensor potentials (for each phase and functional) The train... |
Dec 17, 2025 - EXC IntCDC Research Project 1 'Functionally Graded Concrete Building System – Design, Optimisation, Digital Production and Reuse'
Teichmann, Alexander, 2025, "Replication Data for: Learning from Mixing Power Curves: A Long Short-Term Memory-Based Soft Sensor for Online Assessment of Fresh Concrete Consistency", https://doi.org/10.18419/DARUS-4780, DaRUS, V2, UNF:6:Fx8JPE3/7Uwt7VZOwG2dfQ== [fileUNF]
Overview This dataset contains a synthetic benchmark for studying data-driven assessment of fresh concrete consistency from mixer power consumption time series ("mixing curves"). It was created in the context of the manuscript Learning from Mixing Power Curves: A Long Short-Term Memory-Based Soft Sensor for Online Assessment of Fresh Concrete Consi... |
Dec 16, 2025 - EXC IntCDC Associated Project 58 'NeuralWood'
Akbar, Zuardin; Gambarelli, Serena; Wortmann, Thomas, 2025, "Thin Maple Bilayer Dataset", https://doi.org/10.18419/DARUS-5529, DaRUS, V1, UNF:6:USte3nYdxTofohjUbu3ZRw== [fileUNF]
This dataset contains measured and derived features of 64 small-scale mapple wood bilayer samples. A wood bilayer consists of two bonded layers with differing material or anatomical properties. When exposed to changes in moisture, the layers expand or contract at different rates, producing curvature. This makes bilayers a fundamental system for stu... |
Dec 15, 2025 - Quantum Computing @IAAS
Wundrack, Philipp; Barzen, Johanna; Bechtold, Marvin, 2025, "Data repository for "Accelerating Spiking Neural Networks on CPUs via Cache-aware Splitting"", https://doi.org/10.18419/DARUS-5267, DaRUS, V1
This data repository contains the experiment data and code for the paper "Accelerating Spiking Neural Networks on CPUs via Cache-aware Splitting". The code.zip file contains the git repositories of the code that was used in the experiments: fast-arrays library: executes vectorized calculations with AVX-512F operations mlflow-rs library: client for... |
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... |
