Cardiff University | Prifysgol Caerdydd ORCA
Online Research @ Cardiff 
WelshClear Cookie - decide language by browser settings

Improved importance sampling distribution for rate constant calculation

Mella, Massimo 2005. Improved importance sampling distribution for rate constant calculation. The Journal of Chemical Physics 122 (20) , 204106. 10.1063/1.1903903

[img]
Preview
PDF - Published Version
Download (307kB) | Preview

Abstract

An efficient method to compute the thermal rate constant for rare events within the correlation function C(t) approach is presented. This method, which is based on a modification of the sampling function used to evaluate the dynamical correlation function C(t), can be applied to high-dimensional systems having a rough energy landscape without previous knowledge on the transition states location. In this work, the sampling of a Boltzmann-like distribution for the linear momenta with a lower inverse temperature (β* = 1/kT*) than the correct one (β = 1/kT) is proposed as a way to increase the number of reactive trajectories. The mismatch between the β* and β distributions is then corrected by a reweighting procedure which allows one to obtain the exact correlation function C(t). The efficiency of this scheme in computing the rate of a particle jumping across the barrier of a simple 2D double well potential is improved by a factor 4–25 depending on the relative value of the original β and modified β* temperatures. When merged with the “puddle potential” method [ S. A. Corcelli, J. A. Rohman, and J. C. Tully, J. Chem. Phys., 118, 1085 (2003) ], the new importance sampling function improves the efficiency of the correlation function approach by a factor 16–800 with respect to the unbiased sampling. To test the method in a more challenging case, the previous model system was extended by adding six harmonically restrained particles, each one interacting with the diffusing particle. This model introduces both the possibility of energy exchange and a rougher energy landscape. The new sampling function alone is found to produce an improvement in efficiency of, at least, an order of magnitude when compared with the unbiased case; when merged with the puddle potential method, a 400-fold saving in computer time is found.

Item Type: Article
Date Type: Publication
Status: Published
Schools: Chemistry
Uncontrolled Keywords: reaction rate constants, sampling methods
Additional Information: 10 pp. Pdf uploaded in accordance with publisher's policy at http://www.sherpa.ac.uk/romeo/issn/0021-9606/ (accessed 21/02/2014)
Publisher: American Institute of Physics
ISSN: 0021-9606
Date of First Compliant Deposit: 30 March 2016
Last Modified: 19 Mar 2016 22:03
URI: http://orca.cardiff.ac.uk/id/eprint/1524

Citation Data

Cited 3 times in Scopus. View in Scopus. Powered By Scopus® Data

Actions (repository staff only)

Edit Item Edit Item

Downloads

Downloads per month over past year

View more statistics