PN 6

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

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531 to 540 of 867 Results

train.out Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials Unknown - 203.0 KB - MD5: e3994fddf549544639bb1d73971d369e
train.out Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials Unknown - 204.3 KB - MD5: 886d828d7ad803fc15458441ea9fbb16
train.out Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials Unknown - 375.7 KB - MD5: cdfc4902bb19a8a4fec95b54728f6d1d
train.out Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials Unknown - 375.6 KB - MD5: 15b47e8762b3f3710669bfa869acba0b
train.out Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials Unknown - 377.2 KB - MD5: 95bf3e8e90ab8d357e2e04b5828677fe
train.out Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials Unknown - 203.0 KB - MD5: b43211a840bb3fb3d34a2f4502260a12
train.out Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials Unknown - 377.1 KB - MD5: b6025f24e56eb9e0670d89c456ef9581
train.out Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials Unknown - 203.0 KB - MD5: e4c6d7dcf6dd5b4cb01adcf0140f55bc
Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials Feb 20, 2023 Zaverkin, Viktor; Holzmüller, David; Bonfirraro, Luca; Kästner, Johannes, 2023, "Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials", https://doi.org/10.18419/DARUS-3299, DaRUS, V1 Pre-trained and fine-tuned ANI models using the Gaussian Moments Neural Network (GM-NN) approach. Code for GM-NN implemented within the Tensorflow framework, including the respective documentation and tutorials, can be found on GitLab. The data represents TensorFlow v2 checkpoints and stores the metadata for the checkpoint and parameters for the mo...
best_stats_ens.pkl Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials Unknown - 331 B - MD5: f542921bad95c295381dcffbcb89fb29

train.out

Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials

Unknown - 203.0 KB -

train.out

Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials

Unknown - 204.3 KB -

train.out

Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials

Unknown - 375.7 KB -

train.out

Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials

Unknown - 375.6 KB -

train.out

Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials

Unknown - 377.2 KB -

train.out

Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials

Unknown - 203.0 KB -

train.out

Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials

Unknown - 377.1 KB -

train.out

Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials

Unknown - 203.0 KB -

Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials

Feb 20, 2023

Zaverkin, Viktor; Holzmüller, David; Bonfirraro, Luca; Kästner, Johannes, 2023, "Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials", https://doi.org/10.18419/DARUS-3299, DaRUS, V1

Pre-trained and fine-tuned ANI models using the Gaussian Moments Neural Network (GM-NN) approach. Code for GM-NN implemented within the Tensorflow framework, including the respective documentation and tutorials, can be found on GitLab. The data represents TensorFlow v2 checkpoints and stores the metadata for the checkpoint and parameters for the mo...

best_stats_ens.pkl

Feb 20, 2023 - Pre-trained and fine-tuned ANI models for: Transfer learning for chemically accurate interatomic neural network potentials

Unknown - 331 B -

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