| Literature DB >> 24329064 |
Yan Li1, Bernd Hartke1.
Abstract
We have fitted reactive force fields of the ReaxFF type to the ground and first excited electronic states of azobenzene, using global parameter optimization by genetic algorithms. Upon coupling with a simple energy-gap transition probability model, this setup allows for completely force-field-based simulations of photochemical cis→trans- and trans→cis-isomerizations of azobenzene, with qualitatively acceptable quantum yields. This paves the way towards large-scale dynamics simulations of molecular machines, including bond breaking and formation (via the reactive force field) as well as photochemical engines (presented in this work).Entities:
Year: 2013 PMID: 24329064 DOI: 10.1063/1.4837237
Source DB: PubMed Journal: J Chem Phys ISSN: 0021-9606 Impact factor: 3.488