Stuttgart Center for Simulation Science (SC SimTech)

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311 to 320 of 376 Results

Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments 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
Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity" 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.
PN 6-6(Universität Stuttgart) Sep 29, 2021PN 6 SimTech Project PN 6-6 "Machine Learning for Data-driven Visualization"
preCICE Distribution Version v2104.0 Sep 27, 2021 - Usability and Sustainability of Simulation Software Chourdakis, Gerasimos; Davis, Kyle; Rodenberg, Benjamin; Schulte, Miriam; Simonis, Frédéric; Uekermann, Benjamin; Abrams, Georg; Bungartz, Hans-Joachim; Cheun Yau, Lucia; Desai, Ishaan; Eder, Konrad; Hertrich, Richard; Lindner, Florian; Rusch, Alexander; Sashko, Dmytro; Schneider, David; Totounferoush, Amin; Volland, Dominik; Vollmer, Peter; Ziya Koseomur, Oguz, 2021, "preCICE Distribution Version v2104.0", https://doi.org/10.18419/DARUS-2125, DaRUS, V1 The preCICE distribution is the larger ecosystem around preCICE, which includes the core library, language bindings, adapters for popular solvers, tutorials, and vagrant files to prepare a virtual machine image. The compressed source files of this data set are only meant to archive this specific version v2104.0 of the distribution. If you want to u...
Usability and Sustainability of Simulation Software(Universität Stuttgart) Sep 21, 2021Institute for Parallel and Distributed Systems
Visual Analytics System for Hidden States in Recurrent Neural Networks Sep 10, 2021 - PN 6-4 Munz, Tanja; Garcia, Rafael; Weiskopf, Daniel, 2021, "Visual Analytics System for Hidden States in Recurrent Neural Networks", https://doi.org/10.18419/DARUS-2052, DaRUS, V1 Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analysis system. The sub directories contain the following: dataPreparation...
micro-XRCT data sets of subflorescent salt crusts from evaporation of MgSO4 solution with 0.96 mol/L initial concentration Sep 9, 2021 - Publication: Porosity and Permeability of Subflorescent Salt Crusts Formed by Evaporation From Porous Media Ruf, Matthias; Lee, Dongwon; Piotrowski, Joseph; Huisman, Johan Alexander; Steeb, Holger, 2021, "micro-XRCT data sets of subflorescent salt crusts from evaporation of MgSO4 solution with 0.96 mol/L initial concentration", https://doi.org/10.18419/DARUS-2003, DaRUS, V1 This data set contains data of scans of three separated dry salt crusts that formed by evaporation of magnesium sulfate solution with 0.96 mol/L initial concentration from F32 quartz sand at 40%, 30%, and 25% saturation inside the sand packing. The cylindrical sample holder from polymethyl methacrylat (PMMA) had a diameter of 31 mm and a wall thick...
micro-XRCT data sets of subflorescent salt crusts from evaporation of MgSO4 solution with 0.32 mol/L initial concentration Sep 9, 2021 - Publication: Porosity and Permeability of Subflorescent Salt Crusts Formed by Evaporation From Porous Media Ruf, Matthias; Lee, Dongwon; Piotrowski, Joseph; Huisman, Johan Alexander; Steeb, Holger, 2021, "micro-XRCT data sets of subflorescent salt crusts from evaporation of MgSO4 solution with 0.32 mol/L initial concentration", https://doi.org/10.18419/DARUS-2002, DaRUS, V1 This data set contains data of scans of three separated dry salt crusts that formed by evaporation of magnesium sulfate solution with 0.32 mol/L initial concentration from F32 quartz sand at 40%, 30%, and 20% saturation inside the sand packing. The cylindrical sample holder from polymethyl methacrylat (PMMA) had a diameter of 31 mm and a wall thick...
micro-XRCT data sets of subflorescent salt crusts from evaporation of MgSO4 solution with 0.64 mol/L initial concentration Sep 6, 2021 - Publication: Porosity and Permeability of Subflorescent Salt Crusts Formed by Evaporation From Porous Media Ruf, Matthias; Lee, Dongwon; Piotrowski, Joseph; Huisman, Johan Alexander; Steeb, Holger, 2021, "micro-XRCT data sets of subflorescent salt crusts from evaporation of MgSO4 solution with 0.64 mol/L initial concentration", https://doi.org/10.18419/DARUS-1848, DaRUS, V1 This data set contains data of scans of three separated dry salt crusts that formed by evaporation of magnesium sulfate solution with 0.64 mol/L initial concentration from F32 quartz sand at 40%, 30%, and 20% saturation inside the sand packing. The cylindrical sample holder from polymethyl methacrylat (PMMA) had a diameter of 31 mm and a wall thick...
Simulation input scripts for "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces" Aug 20, 2021 - Paper Nature Materials 2021 Schlaich, Alexander, 2021, "Simulation input scripts for "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces"", https://doi.org/10.18419/DARUS-2115, DaRUS, V1 This dataset includes the basic simulation scripts needed in order to reproduce the data shown in "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces". The folder structure corresponds to the individual parts of the paper, more detail is given in the individual REA...

Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

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

Replication Data for: "S4: Self-Supervised learning of Spatiotemporal Similarity"

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.

PN 6-6(Universität Stuttgart)

Sep 29, 2021PN 6

SimTech Project PN 6-6 "Machine Learning for Data-driven Visualization"

preCICE Distribution Version v2104.0

Sep 27, 2021 - Usability and Sustainability of Simulation Software

Chourdakis, Gerasimos; Davis, Kyle; Rodenberg, Benjamin; Schulte, Miriam; Simonis, Frédéric; Uekermann, Benjamin; Abrams, Georg; Bungartz, Hans-Joachim; Cheun Yau, Lucia; Desai, Ishaan; Eder, Konrad; Hertrich, Richard; Lindner, Florian; Rusch, Alexander; Sashko, Dmytro; Schneider, David; Totounferoush, Amin; Volland, Dominik; Vollmer, Peter; Ziya Koseomur, Oguz, 2021, "preCICE Distribution Version v2104.0", https://doi.org/10.18419/DARUS-2125, DaRUS, V1

The preCICE distribution is the larger ecosystem around preCICE, which includes the core library, language bindings, adapters for popular solvers, tutorials, and vagrant files to prepare a virtual machine image. The compressed source files of this data set are only meant to archive this specific version v2104.0 of the distribution. If you want to u...

Usability and Sustainability of Simulation Software(Universität Stuttgart)

Sep 21, 2021Institute for Parallel and Distributed Systems

Visual Analytics System for Hidden States in Recurrent Neural Networks

Sep 10, 2021 - PN 6-4

Munz, Tanja; Garcia, Rafael; Weiskopf, Daniel, 2021, "Visual Analytics System for Hidden States in Recurrent Neural Networks", https://doi.org/10.18419/DARUS-2052, DaRUS, V1

Source code of our visual analytics system for the interpretation of hidden states in recurrent neural networks. This project contains source code for preprocessing data and the visual analytics system. Additionally, we added precomputed data for immediate use in the visual analysis system. The sub directories contain the following: dataPreparation...

micro-XRCT data sets of subflorescent salt crusts from evaporation of MgSO4 solution with 0.96 mol/L initial concentration

Sep 9, 2021 - Publication: Porosity and Permeability of Subflorescent Salt Crusts Formed by Evaporation From Porous Media

Ruf, Matthias; Lee, Dongwon; Piotrowski, Joseph; Huisman, Johan Alexander; Steeb, Holger, 2021, "micro-XRCT data sets of subflorescent salt crusts from evaporation of MgSO4 solution with 0.96 mol/L initial concentration", https://doi.org/10.18419/DARUS-2003, DaRUS, V1

This data set contains data of scans of three separated dry salt crusts that formed by evaporation of magnesium sulfate solution with 0.96 mol/L initial concentration from F32 quartz sand at 40%, 30%, and 25% saturation inside the sand packing. The cylindrical sample holder from polymethyl methacrylat (PMMA) had a diameter of 31 mm and a wall thick...

micro-XRCT data sets of subflorescent salt crusts from evaporation of MgSO4 solution with 0.32 mol/L initial concentration

Sep 9, 2021 - Publication: Porosity and Permeability of Subflorescent Salt Crusts Formed by Evaporation From Porous Media

Ruf, Matthias; Lee, Dongwon; Piotrowski, Joseph; Huisman, Johan Alexander; Steeb, Holger, 2021, "micro-XRCT data sets of subflorescent salt crusts from evaporation of MgSO4 solution with 0.32 mol/L initial concentration", https://doi.org/10.18419/DARUS-2002, DaRUS, V1

This data set contains data of scans of three separated dry salt crusts that formed by evaporation of magnesium sulfate solution with 0.32 mol/L initial concentration from F32 quartz sand at 40%, 30%, and 20% saturation inside the sand packing. The cylindrical sample holder from polymethyl methacrylat (PMMA) had a diameter of 31 mm and a wall thick...

micro-XRCT data sets of subflorescent salt crusts from evaporation of MgSO4 solution with 0.64 mol/L initial concentration

Sep 6, 2021 - Publication: Porosity and Permeability of Subflorescent Salt Crusts Formed by Evaporation From Porous Media

Ruf, Matthias; Lee, Dongwon; Piotrowski, Joseph; Huisman, Johan Alexander; Steeb, Holger, 2021, "micro-XRCT data sets of subflorescent salt crusts from evaporation of MgSO4 solution with 0.64 mol/L initial concentration", https://doi.org/10.18419/DARUS-1848, DaRUS, V1

This data set contains data of scans of three separated dry salt crusts that formed by evaporation of magnesium sulfate solution with 0.64 mol/L initial concentration from F32 quartz sand at 40%, 30%, and 20% saturation inside the sand packing. The cylindrical sample holder from polymethyl methacrylat (PMMA) had a diameter of 31 mm and a wall thick...

Simulation input scripts for "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces"

Aug 20, 2021 - Paper Nature Materials 2021

Schlaich, Alexander, 2021, "Simulation input scripts for "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces"", https://doi.org/10.18419/DARUS-2115, DaRUS, V1

This dataset includes the basic simulation scripts needed in order to reproduce the data shown in "Electronic screening using a virtual Thomas-Fermi fluid for predicting wetting and phase transitions of ionic liquids at metal surfaces". The folder structure corresponds to the individual parts of the paper, more detail is given in the individual REA...

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