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Deposit Date: 2021 License: MIT License

1 to 6 of 6 Results

Publication data for: "The presence of a wall enhances the probability for ring-closing metathesis: insights from classical polymer theory and atomistic simulations - data from C6 group" Jul 20, 2022 - SFB 1333 C6 - Holm group, ICP Tischler, Ingo; Holm, Christian; Schlaich, Alexander, 2022, "Publication data for: "The presence of a wall enhances the probability for ring-closing metathesis: insights from classical polymer theory and atomistic simulations - data from C6 group"", https://doi.org/10.18419/darus-1371, DaRUS, V1 All primary data files and processed data of the journal article from C6 group. It contains the simulation and analysis scripts, the ESPResSo commit and a patch to it, with which the data was produced.
Replication Models for: A finger-joint based edge connection for the weak direction of CLT plates Apr 6, 2022 - Publications Tapia Camú, Cristóbal; Claus, Marian, 2022, "Replication Models for: A finger-joint based edge connection for the weak direction of CLT plates", https://doi.org/10.18419/darus-1259, DaRUS, V1 This repository contains the implementation of the analytical and numerical models described and used in the paper to model the developed edge connection for CLT plates in the weak direction. The connection was developed within the frame of the cluster "Integrative Computational...
NMTVis - Extended Neural Machine Translation Visualization System Jan 26, 2022 - PN 6-4 Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2022, "NMTVis - Extended Neural Machine Translation Visualization System", https://doi.org/10.18419/darus-2124, DaRUS, V1 NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated using a neural machine translation model (we support an LSTM-based and the Transformer architecture). Afte...
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.
NMTVis - Neural Machine Translation Visualization System May 26, 2021 - PN 6-4 Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Neural Machine Translation Visualization System", https://doi.org/10.18419/darus-1849, DaRUS, V1 NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated using a neural machine translation model (we support an LSTM-based and the Transformer architecture). Afte...

Publication data for: "The presence of a wall enhances the probability for ring-closing metathesis: insights from classical polymer theory and atomistic simulations - data from C6 group"

Jul 20, 2022 - SFB 1333 C6 - Holm group, ICP

Tischler, Ingo; Holm, Christian; Schlaich, Alexander, 2022, "Publication data for: "The presence of a wall enhances the probability for ring-closing metathesis: insights from classical polymer theory and atomistic simulations - data from C6 group"", https://doi.org/10.18419/darus-1371, DaRUS, V1

All primary data files and processed data of the journal article from C6 group. It contains the simulation and analysis scripts, the ESPResSo commit and a patch to it, with which the data was produced.

Replication Models for: A finger-joint based edge connection for the weak direction of CLT plates

Apr 6, 2022 - Publications

Tapia Camú, Cristóbal; Claus, Marian, 2022, "Replication Models for: A finger-joint based edge connection for the weak direction of CLT plates", https://doi.org/10.18419/darus-1259, DaRUS, V1

This repository contains the implementation of the analytical and numerical models described and used in the paper to model the developed edge connection for CLT plates in the weak direction. The connection was developed within the frame of the cluster "Integrative Computational...

NMTVis - Extended Neural Machine Translation Visualization System

Jan 26, 2022 - PN 6-4

Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2022, "NMTVis - Extended Neural Machine Translation Visualization System", https://doi.org/10.18419/darus-2124, DaRUS, V1

NMTVis is a web-based visual analytics system to analyze, understand, and correct translations generated with neural machine translation. First, a document can be translated using a neural machine translation model (we support an LSTM-based and the Transformer architecture). Afte...

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.

NMTVis - Neural Machine Translation Visualization System

May 26, 2021 - PN 6-4

Munz, Tanja; Väth, Dirk; Kuznecov, Paul; Vu, Ngoc Thang; Weiskopf, Daniel, 2021, "NMTVis - Neural Machine Translation Visualization System", https://doi.org/10.18419/darus-1849, DaRUS, V1

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