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physics.chem-ph2022★ 34 cited
Graph neural networks for materials science and chemistry
Patrick Reiser, Marlen Neubert, André Eberhard +8
Machine learning plays an increasingly important role in many areas of chemistry and materials science, e.g. to predict materials properties, to accelerate simulations, to design n…
physics.chem-ph2022
Charge Transfer Simulations using Hamiltonian Elements and Forces from Neural Networks
Philipp M. Dohmen, Mila Krämer, Patrick Reiser +3
The trajectory surface hopping method has been widely used in the simulation of charge transport in organic semiconductors. In the present study, we employ the machine learning (ML…