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

In order to use this feature you must have at least one published or linked dataverse.

Publish Dataverse

Are you sure you want to publish your dataverse? Once you do so it must remain published.

Publish Dataverse

This dataverse cannot be published because the dataverse it is in has not been published.

Delete Dataverse

Are you sure you want to delete your dataverse? You cannot undelete this dataverse.

Advanced Search

4,741 to 4,750 of 4,915 Results
setup.cfg
Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines
Unknown - 40 B - MD5: 298df73b5a1c392b5b17c4ce26904215
setup.py
Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines
Python Source Code - 819 B - MD5: 5b46b4264acfc62e9d3abb47b254f8c5
specs.py
Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines
Python Source Code - 5.9 KB - MD5: be360cc7a260a6c7f0554dc06cb24042
test_utils.py
Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines
Python Source Code - 1.7 KB - MD5: 944da57768e7387b31125606182181e6
.travis.yml
Jan 24, 2022 - PyPlant: A Python Framework for Cached Function Pipelines
Unknown - 296 B - MD5: 2c64f372c34df4ba2fdd842e7e585df5
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
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
Add Data

Log in to create a dataverse or add a dataset.

Log In
Share Dataverse

Share this dataverse on your favorite social media networks.

Link Dataverse
Reset Modifications

Are you sure you want to reset the selected metadata fields? If you do this, any customizations (hidden, required, optional) you have done will no longer appear.