A state-dependent generalized Langevin model, trained from two-point correlations and consensus sampling, predicts alanine dipeptide transition kinetics more accurately than a homogeneous-memory GLE.
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A unified framework for data-driven construction of stochastic reduced models with state-dependent memory
A state-dependent generalized Langevin model, trained from two-point correlations and consensus sampling, predicts alanine dipeptide transition kinetics more accurately than a homogeneous-memory GLE.