PN 6

SimTech EXC 2075 Project Network 6 "Machine learning for simulation"

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701 to 710 of 867 Results

utils.py Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines Python Source Code - 1.8 KB - MD5: f2146b1319a4f136413b4673f57805e1
utils_test.py Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines Python Source Code - 1.6 KB - MD5: a7637c3ef2cde69ee73f9ad2d3dda91a
Code for: Fast and Sample-Efficient Interatomic Neural Network Potentials for Molecules and Materials Based on Gaussian Moments Oct 15, 2021 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
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

utils.py

Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines

Python Source Code - 1.8 KB -

utils_test.py

Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines

Python Source Code - 1.6 KB -

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

Oct 15, 2021

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 -

calculators.rst

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