RCARM: Reaction classification using automated reaction mapping

Abstract

Detailed chemical kinetic modeling of gas‐phase reactions can result in automatically generated mechanisms that contain thousands of reactions. In this paper, we describe the development of a rule‐based expert system tool that organizes these reactions into classes such as hydrogen abstraction and beta scission. We have developed 29 simple classification rules, 20 complex (well‐skipping) classification rules, and four second‐stage classification rules. This greatly simplifies the task of the chemical kineticist who wishes to verify, analyze, and gain insights into the reactions comprising the mechanism. This system, which is based on the automated identification of the bonds that break and form in a chemical reaction (the reaction mapping problem), is used to classify reactions in three different mechanisms. © 2012 Wiley Periodicals, Inc. Int J Chem Kinet 45: 125–139, 2013

Document Details

Document Type
Pub Defense Publication
Publication Date
Dec 19, 2012
Source ID
10.1002/kin.20749

Entities

People

  • Anthony M. Dean
  • Dinesh P. Mehta
  • John D. Crabtree
  • Lam Huynh
  • Tina M. Kouri

Organizations

  • National Science Foundation
  • Office of Naval Research

Tags

Fields of Study

  • Computer science

Readers

  • Database Systems and Applications
  • Library and Information Science
  • Molecular Photonics/Laser Physics