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License: MIT License

1,491 to 1,500 of 1,647 Results

reflecting-wall.patch Jul 20, 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" text/x-patch - 5.3 KB - MD5: d76b4b5b6a7d66a1fea6fc52efd635af git patch to add the reflecting walls
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 Design and Construction for Architecture" (IntCDC) of the University o...
abaqus_model.tar.gz Apr 6, 2022 - Replication Models for: A finger-joint based edge connection for the weak direction of CLT plates Gzip Archive - 30.3 KB - MD5: b491d58be161e70c9bf6feacbeec78d0 Contains the scripts (python) for the different Abaqus models used to study the developed edge connection for CLT. Detailed information on how to run the different models is given in the Readme.md file inside the archive.
analytical_model_julia.tar.gz Apr 6, 2022 - Replication Models for: A finger-joint based edge connection for the weak direction of CLT plates Gzip Archive - 13.9 KB - MD5: e75acf13b165a5aafaffb8e4302a9378 Implementation of the analytical model used to compute deflections and stresses in the CLT-LVL compound conforming the developed connection.
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). Afterward, users can find mistranslated sentences, explore and correct the...
nmtvis_v2.0.zip Jan 26, 2022 - NMTVis - Extended Neural Machine Translation Visualization System ZIP Archive - 32.8 MB - MD5: 06b9aac73424ff7ef6e6aede57f1ecaf Source code of our visual analytics system
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
adam.py Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Python Source Code - 2.8 KB - MD5: 43201d1bd5e849ffc4b7794c6ab8e87c
adam.rst Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Unknown - 89 B - MD5: 8250c6756d6506ffa4b66dd979abe8eb
calculators.py Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Python Source Code - 19.4 KB - MD5: e29400ad67a376583c46cbf02660672d

reflecting-wall.patch

Jul 20, 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"

text/x-patch - 5.3 KB -

git patch to add the reflecting walls

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 Design and Construction for Architecture" (IntCDC) of the University o...

abaqus_model.tar.gz

Apr 6, 2022 - Replication Models for: A finger-joint based edge connection for the weak direction of CLT plates

Gzip Archive - 30.3 KB -

Contains the scripts (python) for the different Abaqus models used to study the developed edge connection for CLT. Detailed information on how to run the different models is given in the Readme.md file inside the archive.

analytical_model_julia.tar.gz

Apr 6, 2022 - Replication Models for: A finger-joint based edge connection for the weak direction of CLT plates

Gzip Archive - 13.9 KB -

Implementation of the analytical model used to compute deflections and stresses in the CLT-LVL compound conforming the developed connection.

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). Afterward, users can find mistranslated sentences, explore and correct the...

nmtvis_v2.0.zip

Jan 26, 2022 - NMTVis - Extended Neural Machine Translation Visualization System

ZIP Archive - 32.8 MB -

Source code of our visual analytics system

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

adam.py

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Python Source Code - 2.8 KB -

adam.rst

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Unknown - 89 B -

calculators.py

Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments

Python Source Code - 19.4 KB -

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