/tools/field_schnet
atomistic-machine-learning/field_schnet
FieldSchNet is a deep learning framework that models the interaction of molecules with external fields, enabling the prediction of molecular properties such as energies and spectra. It supports molecular dynamics simulations and can be used in QM/MM setups for advanced molecular modeling.
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