Chapter 2: Tunnelling Instability in Molecular Systems. An Exercise in Computational Chemistry Prediction Power

H. Amlani, A. Frenklah, S. Kozuch

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

5 Scopus citations

Abstract

There is no doubt that computational chemistry can aid in the development and comprehension of reactions and molecules. In particular, it is possible to understand the stability of chemical systems by obtaining their decomposition mechanisms and simply calculating the degradation rate and half-life from the pathway with the lowest activation energy. However, due to the structural strain of many "fleeting"molecules, it is possible that they would be completely unsynthesizable thanks to the tunnelling effect, which acts even at the lowest temperatures. If that is the case, then computational quantum chemistry can predict whether trying to synthesize a hypothetical molecule is a worthwhile goal or if it is like fighting against windmills. Through some discussions and examples, we will use the quantum tunnelling instability concept as an excuse to figure out reactions driven by heavy-atom tunnelling.

Original languageEnglish
Title of host publicationTunnelling in Molecules
Subtitle of host publicationNuclear Quantum Effects from Bio to Physical Chemistry
EditorsJohannes Kastner, Sebastian Kozuch
PublisherRoyal Society of Chemistry
Pages61-87
Number of pages27
Edition18
DOIs
StatePublished - 1 Jan 2021

Publication series

NameRSC Theoretical and Computational Chemistry Series
Number18
Volume2021-January
ISSN (Print)2041-3181
ISSN (Electronic)2041-319X

ASJC Scopus subject areas

  • General Chemistry
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'Chapter 2: Tunnelling Instability in Molecular Systems. An Exercise in Computational Chemistry Prediction Power'. Together they form a unique fingerprint.

Cite this