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Entropy 2014, 16(1), 350-376; doi:10.3390/e16010350

Characterization of Rare Events in Molecular Dynamics

Institut für Mathematik, Freie Universität Berlin, Arnimallee 6, 14195 Berlin, Germany
Konrad-Zuse Zentrum, Takustraße 7, 14195 Berlin, Germany
Author to whom correspondence should be addressed.
Received: 13 September 2013 / Revised: 8 October 2013 / Accepted: 22 November 2013 / Published: 30 December 2013
(This article belongs to the Special Issue Molecular Dynamics Simulation)
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A good deal of molecular dynamics simulations aims at predicting and quantifying rare events, such as the folding of a protein or a phase transition. Simulating rare events is often prohibitive, especially if the equations of motion are high-dimensional, as is the case in molecular dynamics. Various algorithms have been proposed for efficiently computing mean first passage times, transition rates or reaction pathways. This article surveys and discusses recent developments in the field of rare event simulation and outlines a new approach that combines ideas from optimal control and statistical mechanics. The optimal control approach described in detail resembles the use of Jarzynski’s equality for free energy calculations, but with an optimized protocol that speeds up the sampling, while (theoretically) giving variance-free estimators of the rare events statistics. We illustrate the new approach with two numerical examples and discuss its relation to existing methods. View Full-Text
Keywords: rare events; molecular dynamics; optimal pathways; stochastic control; dynamic programming; change of measure; cumulant generating function rare events; molecular dynamics; optimal pathways; stochastic control; dynamic programming; change of measure; cumulant generating function

This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).

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Hartmann, C.; Banisch, R.; Sarich, M.; Badowski, T.; Schütte, C. Characterization of Rare Events in Molecular Dynamics. Entropy 2014, 16, 350-376.

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