tsscds2018: A code for automated discovery of chemical reaction mechanisms and solving the kinetics

J Comput Chem. 2018 Sep 5;39(23):1922-1930. doi: 10.1002/jcc.25370.

Abstract

A new software, called tsscds2018, has been developed to discover reaction mechanisms and solve the kinetics in a fully automated fashion. The program employs algorithms based on Graph Theory to find transition state (TS) geometries from accelerated semiempirical dynamics simulations carried out with MOPAC2016. Then, the TSs are connected to the corresponding minima and the reaction network is obtained. Kinetic data like populations vs time or the abundancies of each product can also be obtained with our program thanks to a Kinetic Monte Carlo routine. Highly accurate ab initio potential energy diagrams and kinetics can also be obtained using an interface with Gaussian09. The source code is available on the following site: http://forge.cesga.es/wiki/g/tsscds/HomePage © 2018 Wiley Periodicals, Inc.

Keywords: Graph Theory; Kinetic Monte Carlo; accelerated dynamics simulations; automated method; reaction network.

Publication types

  • News
  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't
  • Research Support, U.S. Gov't, Non-P.H.S.

MeSH terms

  • Algorithms
  • Automation*
  • Inorganic Chemicals / chemistry*
  • Kinetics
  • Software*

Substances

  • Inorganic Chemicals