Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting

Stephan Thaler, Julija Zavadlav

In molecular dynamics (MD), neural network (NN) potentials trained bottom-up on quantum mechanical data have seen tremendous success recently. Top-down approaches that learn NN pot…