Adaptively Accelerating Reactive Molecular Dynamics Using Boxed Molecular Dynamics in Energy Space

Robin J. Shannon*, Silvia Amabilino, Mike O'Connor, Dmitrii V. Shalishilin, David R. Glowacki

*Corresponding author for this work

Research output: Contribution to journalArticle (Academic Journal)peer-review

12 Citations (Scopus)
153 Downloads (Pure)


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 time scale 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.

Original languageEnglish
Pages (from-to)4541-4552
Number of pages12
JournalJournal of Chemical Theory and Computation
Issue number9
Early online date25 Jul 2018
Publication statusPublished - 11 Sept 2018


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