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Publication Year: 2023

261 to 270 of 302 Results

BHoM to bhOWL converter Mar 3, 2023 - EXC IntCDC Research Project 20 'Knowledge Representation for Multi-Disciplinary Co-Design' Elshani, Diellza; Lombardi, Alessio; Hernández, Daniel; Staab, Steffen; Fisher, Al; Wortmann, Thomas, 2023, "BHoM to bhOWL converter", https://doi.org/10.18419/DARUS-3364, DaRUS, V1 The dataset is the release version v2.0.0 of the BHoM to bhOWL converter, which helps convert BHoM data to a knowledge graph in any software BHoM supports. BHoM (The Buildings and Habitats object Model) is collaborative framework that runs within several AEC design software, which helps to represent data in a object oriented database model. OWL (We...
NMR investigation of water confined by salt interface(Universität Stuttgart) Mar 3, 2023C01: A Lattice-Boltzmann investigation of two-phase electrolyte flow in porous structures with morphology alterations and tunable interfacial wetting behaviour Molecular dynamics input scripts.
Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice" Mar 2, 2023 - Visualisierungsinstitut der Universität Stuttgart Reina, Guido, 2023, "Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice"", https://doi.org/10.18419/DARUS-3345, DaRUS, V1 This data set contains the visualization pipeline states and resulting images for the example scenarios as listed in the manuscript. The auxiliary python scripts are contained for reference, but can be obtained from the MegaMol source code as well (https://github.com/UniStuttgart-VISUS/megamol). One folder per dataset / visualization software combi...
Replication Data for phase-field contributions in level-set comparison study Mar 2, 2023 - PN 1-6 Kelm, Mathis; Bringedal, Carina; Flemisch, Bernd, 2023, "Replication Data for phase-field contributions in level-set comparison study", https://doi.org/10.18419/DARUS-3359, DaRUS, V1, UNF:6:MsNXqcARspF5yuVdFLKT0Q== [fileUNF] Primary and post-processed simulation data and visualization tools to reproduce the phase-field results presented in the related publication. The folders "simulation" and "effective_quantities" contain primary simulation results obtained with the code published in the DuMux-pub module Kelm2022a and post-processed effective quantities obtained using...
PN 3-11(Universität Stuttgart) Feb 28, 2023PN 3 Biological Molecular Dynamics Simulations
2023_DFG_TopGen3(Universität Stuttgart) Feb 27, 2023ISW Data Repository DataVerse for DFG project "TopGen 3" Title: Topologisch optimierte Bauteile für generative Fertigungsverfahren project number: 246665445
MPIIEmo Feb 24, 2023 - Collaborative Artificial Intelligence Bulling, Andreas, 2023, "MPIIEmo", https://doi.org/10.18419/DARUS-3287, DaRUS, V1 We present a human-validated dataset that contains 224 high-resolution, multi-view video clips and audio recordings of emotionally charged interactions between eight couples of actors. The dataset is fully annotated with categorical labels for four basic emotions (anger, happiness, sadness, and surprise) and continuous labels for valence, activatio...
EXC IntCDC Research Project 20 'Knowledge Representation for Multi-Disciplinary Co-Design'(University of Stuttgart, Max Planck Institute for Intelligent Systems) Feb 23, 2023Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC) RP20-1: Knowledge representation for multi-disciplinary co-design of buildings.
Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials Feb 20, 2023 - PN 6 Zaverkin, Viktor; Holzmüller, David; Bonfirraro, Luca; Kästner, Johannes, 2023, "Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials", https://doi.org/10.18419/DARUS-3299, DaRUS, V1 Pre-trained and fine-tuned ANI models using the Gaussian Moments Neural Network (GM-NN) approach. Code for GM-NN implemented within the Tensorflow framework, including the respective documentation and tutorials, can be found on GitLab. The data represents TensorFlow v2 checkpoints and stores the metadata for the checkpoint and parameters for the mo...
Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator Feb 15, 2023 - PN 5 Kohlhaas, Rebecca; Kröker, Ilja; Oladyshkin, Sergey; Nowak, Wolfgang, 2023, "Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator", https://doi.org/10.18419/DARUS-2829, DaRUS, V1 This folder contains the code for the aMR-PC toolbox by Ilja Kröker in the version used for the code in GALMAP_code. This toolbox was also used for Kröker et al. 2022 Link to current version of the toolbox here Data This folder contains inputs and simulated outputs of the CO_2 benchmark from here and referenced in Köppel et al. 2019 There are a set...

BHoM to bhOWL converter

Mar 3, 2023 - EXC IntCDC Research Project 20 'Knowledge Representation for Multi-Disciplinary Co-Design'

Elshani, Diellza; Lombardi, Alessio; Hernández, Daniel; Staab, Steffen; Fisher, Al; Wortmann, Thomas, 2023, "BHoM to bhOWL converter", https://doi.org/10.18419/DARUS-3364, DaRUS, V1

The dataset is the release version v2.0.0 of the BHoM to bhOWL converter, which helps convert BHoM data to a knowledge graph in any software BHoM supports. BHoM (The Buildings and Habitats object Model) is collaborative framework that runs within several AEC design software, which helps to represent data in a object oriented database model. OWL (We...

NMR investigation of water confined by salt interface(Universität Stuttgart)

Mar 3, 2023C01: A Lattice-Boltzmann investigation of two-phase electrolyte flow in porous structures with morphology alterations and tunable interfacial wetting behaviour

Molecular dynamics input scripts.

Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice"

Mar 2, 2023 - Visualisierungsinstitut der Universität Stuttgart

Reina, Guido, 2023, "Supplemental Material for "Can Image Data Facilitate Reproducibility of Graphics and Visualizations? Towards a Trusted Scientific Practice"", https://doi.org/10.18419/DARUS-3345, DaRUS, V1

This data set contains the visualization pipeline states and resulting images for the example scenarios as listed in the manuscript. The auxiliary python scripts are contained for reference, but can be obtained from the MegaMol source code as well (https://github.com/UniStuttgart-VISUS/megamol). One folder per dataset / visualization software combi...

Replication Data for phase-field contributions in level-set comparison study

Mar 2, 2023 - PN 1-6

Kelm, Mathis; Bringedal, Carina; Flemisch, Bernd, 2023, "Replication Data for phase-field contributions in level-set comparison study", https://doi.org/10.18419/DARUS-3359, DaRUS, V1, UNF:6:MsNXqcARspF5yuVdFLKT0Q== [fileUNF]

Primary and post-processed simulation data and visualization tools to reproduce the phase-field results presented in the related publication. The folders "simulation" and "effective_quantities" contain primary simulation results obtained with the code published in the DuMux-pub module Kelm2022a and post-processed effective quantities obtained using...

PN 3-11(Universität Stuttgart)

Feb 28, 2023PN 3

Biological Molecular Dynamics Simulations

2023_DFG_TopGen3(Universität Stuttgart)

Feb 27, 2023ISW Data Repository

DataVerse for DFG project "TopGen 3" Title: Topologisch optimierte Bauteile für generative Fertigungsverfahren project number: 246665445

MPIIEmo

Feb 24, 2023 - Collaborative Artificial Intelligence

Bulling, Andreas, 2023, "MPIIEmo", https://doi.org/10.18419/DARUS-3287, DaRUS, V1

We present a human-validated dataset that contains 224 high-resolution, multi-view video clips and audio recordings of emotionally charged interactions between eight couples of actors. The dataset is fully annotated with categorical labels for four basic emotions (anger, happiness, sadness, and surprise) and continuous labels for valence, activatio...

EXC IntCDC Research Project 20 'Knowledge Representation for Multi-Disciplinary Co-Design'(University of Stuttgart, Max Planck Institute for Intelligent Systems)

Feb 23, 2023Cluster of Excellence Integrative Computational Design and Construction for Architecture (EXC IntCDC)

RP20-1: Knowledge representation for multi-disciplinary co-design of buildings.

Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials

Feb 20, 2023 - PN 6

Zaverkin, Viktor; Holzmüller, David; Bonfirraro, Luca; Kästner, Johannes, 2023, "Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials", https://doi.org/10.18419/DARUS-3299, DaRUS, V1

Pre-trained and fine-tuned ANI models using the Gaussian Moments Neural Network (GM-NN) approach. Code for GM-NN implemented within the Tensorflow framework, including the respective documentation and tutorials, can be found on GitLab. The data represents TensorFlow v2 checkpoints and stores the metadata for the checkpoint and parameters for the mo...

Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator

Feb 15, 2023 - PN 5

Kohlhaas, Rebecca; Kröker, Ilja; Oladyshkin, Sergey; Nowak, Wolfgang, 2023, "Gaussian active learning on multi-resolution arbitrary polynomial chaos emulator", https://doi.org/10.18419/DARUS-2829, DaRUS, V1

This folder contains the code for the aMR-PC toolbox by Ilja Kröker in the version used for the code in GALMAP_code. This toolbox was also used for Kröker et al. 2022 Link to current version of the toolbox here Data This folder contains inputs and simulated outputs of the CO_2 benchmark from here and referenced in Köppel et al. 2019 There are a set...

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