Shannon, RJ, Amabilino, S, O'Connor, M et al. (2 more authors) (2018) Adaptively accelerating reactive molecular dynamics using boxed molecular dynamics in energy space. Journal of Chemical Theory and Computation, 14 (9). pp. 4541-4552. ISSN 1549-9618
Abstract
The problem of observing rare events is pervasive among the molecular dynamics community and an array of different types of methods are commonly used to accelerate these long timescale processes. Typically, rare event acceleration methods require an a priori specification of the event to be accelerated. In recent work, we have demonstrated the application of boxed molecular dynamics to energy space, as a way to accelerate rare events in the stochastic chemical master equation. Here we build upon this work, and apply the boxed molecular dynamics algorithm to the energy space of a molecule in classical trajectory simulations. Through this new BXD in energy (BXDE) approach we demonstrate that generic rare events (in this case chemical reactions) may be accelerated by multiple orders of magnitude compared to unbiased simulations. Furthermore, we show that the ratios of products formed from the BXDE simulations are similar to those formed in unbiased simulations at the same temperature.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | (c) 2018, American Chemical Society. This is an author produced version of a paper published in the Journal of Chemical Theory and Computation. Uploaded in accordance with the publisher's self-archiving policy. |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Chemistry (Leeds) > Physical Chemistry (Leeds) |
Depositing User: | Symplectic Publications |
Date Deposited: | 20 Aug 2018 11:28 |
Last Modified: | 25 Jul 2019 00:42 |
Status: | Published |
Publisher: | American Chemical Society |
Identification Number: | 10.1021/acs.jctc.8b00515 |
Related URLs: | |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:134721 |