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License: MIT License

1,431 to 1,440 of 1,579 Results

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_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
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
calculators.rst Oct 15, 2021 - Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Unknown - 127 B - MD5: 6897ce0afd3ef2996882b9b277e51e72
conf.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 - 2.1 KB - MD5: ab53e5b08ee9fee9026c45a93398dab5
data_pipeline.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 - 22.2 KB - MD5: a2653482083db83b37563f17641c1ce2
data_preparation.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 - 2.1 KB - MD5: 88325f0823827f17b399b76142c45772

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_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

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