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81 to 90 of 1,372 Results
Oct 18, 2021 - Scientific Computing
Pollinger, Theresa, 2021, "Replication Data for: Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique", https://doi.org/10.18419/DARUS-2123, DaRUS, V1, UNF:6:azg9VIhJn6FUwnNgme2Kjg== [fileUNF]
Scripts to run the weak, strong and remote strong scaling tests described in "Distributing Higher-Dimensional Simulations Across Compute Systems: A Widely Distributed Combination Technique", as well as measurements obtained on the Machines HAWK and our Institute's epyc machine. To reproduce, follow the build procedure detailed in the scripts reposi...
Oct 15, 2021 - PN 6
Zaverkin, Viktor; Holzmüller, David; Steinwart, Ingo; Kästner, Johannes, 2021, "Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments", https://doi.org/10.18419/DARUS-2136, DaRUS, V1
Code and documentation for the improved Gaussian Moments Neural Network (GM-NN). An updated version can be found on GitLab
Cyclorotor(Universität Stuttgart)
Oct 15, 2021Institute of Aerodynamics and Gas Dynamics
Oct 12, 2021 - DICHASUS Channel State Information Measurements
Euchner, Florian; Gauger, Marc, 2021, "CSI Dataset dichasus-0c5x: Outdoor - Street on University Campus", https://doi.org/10.18419/DARUS-2186, DaRUS, V1
Dataset containing channel state information (CSI) alongside ground truth data (position tags, timestamps) of a massive MIMO-OFDM system measured with the DICHASUS channel sounder. Measurement parameters and machine-readable file format descriptions are provided in a JSON file (spec.json). Outdoor, mostly line-of-sight environment with transmitter...
Oct 8, 2021 - C05: Process-dependent porosity-permeability relations for fluid-solid reactions in porous media
Piotrowski, Joseph; Huisman, Johan Alexander, 2021, "Sample Properties, Evaporation Data, and Pressure Measurements of MgSO4 Crusts on F32 Quartz Sand From 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L Initial Concentration", https://doi.org/10.18419/DARUS-1861, DaRUS, V2, UNF:6:xYGrTts04RzpxXSLpfQHTA== [fileUNF]
The dataset contains data from evaporation of magnesium sulfate solution with an initial concentration of 0.96 mol/L, 0.64 mol/L, and 0.32 mol/L from F32 quartz sand. Additionally, pressure measurement of the separated and dried crusts from 40%, 30%, and 20(25)% saturation inside of the sample are provided using dry nitrogen gas (dynamic viscosity...
DICHASUS Channel State Information Measurements(Institute of Telecommunications)
DICHASUS Channel State Information Measurements logo
Oct 7, 2021Institute of Telecommunications/Institut für Nachrichtenübertragung (INÜ)
The DICHASUS (DIstributed CHAnnel Sounder by University of Stuttgart) dataset collection contains channel state information datasets for line of sight, non-line of sight, indoor, outdoor, colocated and distributed antenna configurations, complete with "ground truth" positioning labels. Visit https://dichasus.inue.uni-stuttgart.de/ for more informat...
Oct 7, 2021 - Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach
Jaust, Alexander; Schmidt, Patrick, 2021, "Replication Data for: Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach", https://doi.org/10.18419/DARUS-1778, DaRUS, V1
This repository contains simulation data and postprocessing scripts used in the publication: Schmidt, P., Jaust, A., Steeb, H., Schulte, M.: "Simulation of flow in deformable fractures using a quasi-Newton based partitioned coupling approach". Computational Geosciences (2022). doi:10.1007/s10596-021-10120-8. The three cases presented in the paper a...
Oct 7, 2021 - SFB 1333 A1+B2 - Buchmeiser group, IPOC-MSF
Musso, Janis; Schowner, Roman; Frey, Wolfgang; Buchmeiser, Michael, 2021, "Replication data of Buchmeiser group for: "Cationic Tungsten Imido Alkylidene N-Heterocyclic Carbene Complexes That Contain Bulky Ligands"", https://doi.org/10.18419/DARUS-2176, DaRUS, V1
Neutral and cationic tungsten imido alkylidene complexes of the general formulas W(NtBu)(CHR1)(OR2)Cl(NHC),W(N-2,6-bis(2,4,6-tri-iPr-C6H4)phenyl)(CHR1)Cl2(NHC), [W(NtBu)(CHR1)(OR2)(NHC)][B(ArF)4] and [W(N-2,6-bis(2,4,6-tri-iPr-C6H4)phenyl)(CHR1)Cl(NHC)][B(ArF)4] (R 1 = CMe3, CMe2Ph; R2 = sterically demanding alkoxide; B(ArF)4 =tetrakis(3,5-(CF3)2-C...
Oct 5, 2021 - PN 6-6
Tkachev, Gleb, 2021, "Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"", https://doi.org/10.18419/DARUS-2174, DaRUS, V1
We train a self-supervised siamese model that enables querying for similar behavior on spatiotemporal volumes. Here we provide the code and data needed to reproduce the representative figures of the paper. See the notes and the included readme file for details.
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