Transition Path Theory (TPT) provides a rigorous framework to investigate the dynamics of rare thermally activated transitions. In this theory, a central role is played by the forward committor function q+(x), which provides the ideal reaction coordinate. Furthermore, the reactive dynamics and kinetics are fully characterized in terms of two time-independent scalar and vector distributions. In this work, we develop a scheme which enables all these ingredients of TPT to be efficiently computed using the short non-equilibrium trajectories generated by means of a specific combination of enhanced path sampling techniques. In particular, first we further extend the recently introduced self-consistent path sampling algorithm in order to compute the committor q+(x). Next, we show how this result can be exploited in order to define efficient algorithms which enable us to directly sample the transition path ensemble.
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21 August 2018
Research Article|
July 31 2018
Transition path theory from biased simulations
Special Collection:
Enhanced Sampling for Molecular Systems
G. Bartolucci
;
G. Bartolucci
1
Physics Department of Trento University
, Via Sommarive 14, 37123 Povo (Trento), Italy
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S. Orioli;
S. Orioli
1
Physics Department of Trento University
, Via Sommarive 14, 37123 Povo (Trento), Italy
2
INFN-TIFPA
, Via Sommarive 14, 37123 Povo (Trento), Italy
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P. Faccioli
P. Faccioli
1
Physics Department of Trento University
, Via Sommarive 14, 37123 Povo (Trento), Italy
2
INFN-TIFPA
, Via Sommarive 14, 37123 Povo (Trento), Italy
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J. Chem. Phys. 149, 072336 (2018)
Article history
Received:
February 28 2018
Accepted:
July 15 2018
Citation
G. Bartolucci, S. Orioli, P. Faccioli; Transition path theory from biased simulations. J. Chem. Phys. 21 August 2018; 149 (7): 072336. https://doi.org/10.1063/1.5027253
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