Splitting probabilities as optimal controllers of rare reactive events

The committor constitutes the primary quantity of interest within chemical kinetics as it is understood to encode the ideal reaction coordinate for a rare reactive event. We show the generative utility of the committor in that it can be used explicitly to produce a reactive trajectory ensemble that exhibits numerically exact statistics as that of the original transition path ensemble. This is done by relating a time-dependent analog of the committor that solves a generalized bridge problem to the splitting probability that solves a boundary value problem under a bistable assumption. By invoking stochastic optimal control and spectral theory, we derive a general form for the optimal controller of a bridge process that connects two metastable states expressed in terms of the splitting probability. This formalism offers an alternative perspective into the role of the committor and its gradients in that they encode force fields that guarantee reactivity, generating trajectories that are statistically identical to the way that a system would react autonomously.

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Publication Details

Journal
The Journal of Chemical Physics
Published
2024-08-05
DOI
https://doi.org/10.1063/5.0203840
Citations
7
Primary Topic
stochastic dynamics and bifurcation
Type
article
Field-Weighted Citation Impact
1.97

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article

Splitting probabilities as optimal controllers of rare reactive events

Aditya Singh, David T. Limmer
7 citations
The Journal of Chemical Physics
stochastic dynamics and bifurcation
1.97
article

Splitting probabilities as optimal controllers of rare reactive events

Aditya Singh, David T. Limmer
article en
7 citations

Abstract

The committor constitutes the primary quantity of interest within chemical kinetics as it is understood to encode the ideal reaction coordinate for a rare reactive event. We show the generative utility of the committor in that it can be used explicitly to produce a reactive trajectory ensemble that exhibits numerically exact statistics as that of the original transition path ensemble. This is done by relating a time-dependent analog of the committor that solves a generalized bridge problem to the splitting probability that solves a boundary value problem under a bistable assumption. By invoking stochastic optimal control and spectral theory, we derive a general form for the optimal controller of a bridge process that connects two metastable states expressed in terms of the splitting probability. This formalism offers an alternative perspective into the role of the committor and its gradients in that they encode force fields that guarantee reactivity, generating trajectories that are statistically identical to the way that a system would react autonomously.

The Journal of Chemical PhysicsVol. 161(5)
Lawrence Berkeley National Laboratory (US), Kavli Energy NanoScience Institute (US), University of California, Berkeley (US)
Advanced Scientific Computing Research
Openalex Percentile: Top 14%
stochastic dynamics and bifurcation
1.97
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Splitting probabilities as optimal controllers of rare reactive events — Aditya Singh, David T. Limmer · The Journal of Chemical Physics (2024) | TGRS Research Map | TGRS