A geometric indicator from the normal width of the stochastic separatrix in a random two-state ecosystem model scales linearly with noise intensity and yields an affine relation to the logarithm of mean transition time.
Journal of Statistical Physics , year =
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UNVERDICTED 3representative citing papers
Data-driven Koopman analysis of a bistable stochastic system recovers large deviation theory escape time statistics and basin structure via the subdominant mode.
A committor-guided Milestoning (CoM) algorithm using neural-network ansatz and short trajectories for efficient prediction of mean first passage times in biomolecular systems.
citing papers explorer
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Geometric early warning indicator from stochastic separatrix structure in a random two-state ecosystem model
A geometric indicator from the normal width of the stochastic separatrix in a random two-state ecosystem model scales linearly with noise intensity and yields an affine relation to the logarithm of mean transition time.
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Data-driven analysis of metastability in a stochastic bistable system
Data-driven Koopman analysis of a bistable stochastic system recovers large deviation theory escape time statistics and basin structure via the subdominant mode.
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Fast and accurate committor estimation for kinetics simulations
A committor-guided Milestoning (CoM) algorithm using neural-network ansatz and short trajectories for efficient prediction of mean first passage times in biomolecular systems.