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71 to 80 of 3,053 Results
Apr 8, 2026 - NRG DROPIT Dataverse
Zeifang, Jonas; Travnicek, Amalía, 2026, "Surface Tension-Driven Droplet Oscillation", https://doi.org/10.18419/DARUS-5850, DaRUS, V1
High-order sharp-interface simulation of a three-dimensional surface tension-driven droplet oscillation at Ma=0.005. Dataset provides fluid and level-set solution at timestamp t=1 according to the setup described in section 4.2 of Zeifang et al. (doi: 10.1007/s42967-021-00137-2) and serves to reproduce Fig. 7 therein.
Apr 7, 2026 - Institute of Thermodynamics and Thermal Process Engineering
Nurhuda, Maryam; Teh, Tiong Wei; Packwood, Daniel; Hansen, Niels, 2026, "Supplementary material to 'Machine Learning Prediction of Henry Coefficients of Polar and Nonpolar Gases in Covalent Organic Frameworks: Effects of Interlayer Shifts and Functionalization'", https://doi.org/10.18419/DARUS-5781, DaRUS, V1, UNF:6:VGCNG6AIwbpDFjn2nWVA4w== [fileUNF]
Electronic supplementary materials for the publication stated below. Henry coefficients are calculated by Widom insertion (in RASPA 2.0.47). Contents: - Henry coefficients (CSV) - CoRE-COF original, slipped, and functionalized files (CIF) - RASPA input files.
Apr 7, 2026 - Coarse-grained non-equilibrium dynamics with generative machine learning
Egenlauf, Patrick; Březinová, Iva; Andergassen, Sabine; Klopotek, Miriam, 2026, "Replication Data for: Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations", https://doi.org/10.18419/DARUS-5613, DaRUS, V3
This dataset contains all relevant data to reproduce the results of the paper titled "Capturing reduced-order quantum many-body dynamics out of equilibrium via neural ordinary differential equations". It contains the exact time series data of the two-particle reduced density matrix (2RDM) for each parameter configuration of the parameter scan, with...
NRG DROPIT Dataverse(Universität Stuttgart)
Apr 2, 2026Numerics Research Group
Exemplary output data of high-order sharp-interface simulations of compressible multiphase flows, produced in the course of DFG-GRK 2160 "DROPIT"
Apr 2, 2026 - Institute of Geodesy
Saemian, Peyman; Tourian, Mohammad J., 2026, "SVS: SWOT Validation Set for Global River Discharge Evaluation", https://doi.org/10.18419/DARUS-5843, DaRUS, V1
The SWOT Validation Set (SVS) is a global gauge-based dataset created for validating river discharge estimates derived from the SWOT mission. It provides discharge time series, gauge metadata, information on the matching of gauges to SWORD river reaches, and auxiliary attributes needed for systematic comparison between satellite-based and in situ d...
Apr 2, 2026 - SFB 1333 C5 - Groß/ Hansen group, ITT
Wimmer, Erik Jasper; Högler, Marc, 2026, "Replication Data for: "Palladium Hydride Catalysts Confined in Silica Mesopores: Effects on Catalytic Enyne Cyclization"", https://doi.org/10.18419/DARUS-5129, DaRUS, V1, UNF:6:PRcvl3sxtPpN96tzjitc4Q== [fileUNF]
All primary data files of measurement and processed data of the journal article mentioned under related publications from Estes group and Hansen group can be found here. The data ist structured according to the material names and chapters with the following data types: NMR (Bruker, .mnova), Adsorption data (.pdf), TEM (.TIF), MD simulations
Apr 1, 2026 - Holm group
Grad, Jean-Noël; Tischler, Ingo; Reinauer, Alexander; Kobayashi, Hideki; Kuron, Michael; Hennig, Frederik; Holzer, Markus; Santos Neves, Pedro Miguel; Kamath, Satish Santhosh; Holm, Christian; Weeber, Rudolf, 2026, "Replication Data for: Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions", https://doi.org/10.18419/DARUS-5827, DaRUS, V1, UNF:6:KByfmZAwKeYFysqgpoexBQ== [fileUNF]
Build scripts, benchmark scripts, raw data, and analysis scripts accompanying the manuscript "Coupling ESPResSo and waLBerla for scalable soft matter simulations with hydrodynamic interactions".
IFM-Project O.P.A.L(Universität Stuttgart, Institute for Micro Integration)
Mar 27, 2026Institute for Micro Integration, University of Stuttgart
Aufgrund der weltweit zahlreichen Infektionen steigt der Bedarf an der Entwicklung von schnellen, einfachen und hochsensitiven Testverfahren, die vor Ort durchgeführt werden können. Großes Potential bieten plasmonische Sensoren aufgrund ihrer hohen Sensitivität auf brechungsindexändernde Anbindungen an der Sensoroberfläche und der verstärkenden ani...
Institute for Micro Integration, University of Stuttgart logo
Mar 26, 2026
Das Institut für Mikrointegration ist auf die Aufbau- und Verbindungstechnik von Mikrosystemen spezialisiert. Dabei werden innovative Prozesse, Materialien und Methoden für kleinste Strukturen und Systeme erforscht More information: https://www.ifm.uni-stuttgart.de
Mar 25, 2026 - Institute for Theoretical Physics III: Büchler Group
Roser, Felix; Springer, Etienne Maurice; Büchler, Hans Peter; Lang, Nicolai, 2026, "Replication Data for: "Robust detection of an entanglement transition in the projective transverse-field Ising model"", https://doi.org/10.18419/DARUS-5305, DaRUS, V1
Numerical data to reproduce the plots in Figures 1-3 of the paper "Robust detection of an entanglement transition in the projective transverse-field Ising model" and Figure S3 of the supplementary material.
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