Preconditioners for the geometry optimisation and saddle point search of molecular systems.
View / Open Files
Authors
Mones, Letif
Ortner, Christoph
Csányi, Gábor
Publication Date
2018-09-18Journal Title
Sci Rep
ISSN
2045-2322
Publisher
Springer Science and Business Media LLC
Volume
8
Issue
1
Pages
13991
Language
eng
Type
Article
Physical Medium
Electronic
Metadata
Show full item recordCitation
Mones, L., Ortner, C., & Csányi, G. (2018). Preconditioners for the geometry optimisation and saddle point search of molecular systems.. Sci Rep, 8 (1), 13991. https://doi.org/10.1038/s41598-018-32105-x
Abstract
A class of preconditioners is introduced to enhance geometry optimisation and transition state search of molecular systems. We start from the Hessian of molecular mechanical terms, decompose it and retain only its positive definite part to construct a sparse preconditioner matrix. The construction requires only the computation of the gradient of the corresponding molecular mechanical terms that are already available in popular force field software packages. For molecular crystals, the preconditioner can be combined straightforwardly with the exponential preconditioner recently introduced for periodic systems. The efficiency is demonstrated on several systems using empirical, semiempirical and ab initio potential energy surfaces.
Keywords
physics.chem-ph, physics.chem-ph
Sponsorship
Engineering and Physical Sciences Research Council (EP/J022012/1)
Engineering and Physical Sciences Research Council (EP/P022596/1)
Identifiers
External DOI: https://doi.org/10.1038/s41598-018-32105-x
This record's URL: https://www.repository.cam.ac.uk/handle/1810/284958
Statistics
Total file downloads (since January 2020). For more information on metrics see the
IRUS guide.
Recommended or similar items
The current recommendation prototype on the Apollo Repository will be turned off on 03 February 2023. Although the pilot has been fruitful for both parties, the service provider IKVA is focusing on horizon scanning products and so the recommender service can no longer be supported. We recognise the importance of recommender services in supporting research discovery and are evaluating offerings from other service providers. If you would like to offer feedback on this decision please contact us on: support@repository.cam.ac.uk