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Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Plain Text - 90 B -
MD5: 5b530b60e938ede633c305c49f79a8c5
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Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Plain Text - 1.0 KB -
MD5: 1dc3ea7fc1c6f628a52ee0bf4be0657a
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Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Unknown - 40 B -
MD5: 298df73b5a1c392b5b17c4ce26904215
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Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Python Source Code - 819 B -
MD5: 5b46b4264acfc62e9d3abb47b254f8c5
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Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Python Source Code - 5.9 KB -
MD5: be360cc7a260a6c7f0554dc06cb24042
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Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Python Source Code - 1.7 KB -
MD5: 944da57768e7387b31125606182181e6
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Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Unknown - 296 B -
MD5: 2c64f372c34df4ba2fdd842e7e585df5
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Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Python Source Code - 1.8 KB -
MD5: f2146b1319a4f136413b4673f57805e1
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Jan 24, 2022 -
PyPlant: A Python Framework for Cached Function Pipelines
Python Source Code - 1.6 KB -
MD5: a7637c3ef2cde69ee73f9ad2d3dda91a
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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 |