Inside Cover, Volume 34, Issue 5

Abstract

Journal of Computational ChemistryVolume 34, Issue 5 p. iii-iv Cover ImageFree Access Inside Cover, Volume 34, Issue 5 First published: 23 January 2013 https://doi.org/10.1002/jcc.23240AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinked InRedditWechat Abstract Many approximate accelerated stochastic simulation methods exist that can provide a means of employing Kinetic Monte Carlo techniques to model chemical kinetics. The drawback in using such methods is that sometimes the population of the reactant species present during the simulations becomes negative, leading to unphysical results. This is due to the manner in which the change in time during the reactions is handled by the stochastic simulation methods in such systems. The work by Shantanu Kadam and Kumar Vanka on page 394 discusses a means of avoiding this problem by combining the representative reaction approach (RRA) based methodology with the stochastic simulation algorithm (SSA) and the binomial method. Volume34, Issue515 February 2013Pages iii-iv RelatedInformation