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Experiments

Marcus Wieder edited this page May 6, 2024 · 13 revisions

Training performance

Training for each neural network is performed on a fixed testset with each implemented neural network potential. We repeat each training 5 times with random parameter initialization.

QM9

NNP average number of epochs time per epoch [min] test set performance [kJ/mol]
ANI2x
SchNet
PaiNN
PhysNet
SAKE
TensorNet
AimNet2
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