Girsanov reweighting of AMS-sampled reactive trajectories propagates machine-learned interatomic potential parameter uncertainty to committor probabilities and, under extra assumptions, to reaction rates.
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Girsanov Reweighting for Uncertainty Propagation in Rare-Event Kinetics
Girsanov reweighting of AMS-sampled reactive trajectories propagates machine-learned interatomic potential parameter uncertainty to committor probabilities and, under extra assumptions, to reaction rates.