Issue |
EPL
Volume 143, Number 3, August 2023
|
|
---|---|---|
Article Number | 30001 | |
Number of page(s) | 7 | |
Section | General physics | |
DOI | https://doi.org/10.1209/0295-5075/ace9f6 | |
Published online | 01 August 2023 |
How far can we stretch the timescale with RETIS?
Norwegian University of Science and Technology (NTNU) - Høgskoleringen 5, 7491 Trondheim, Norway
(a) E-mail: titus.van.erp@ntnu.no (corresponding author)
Received: 20 April 2023
Accepted: 24 July 2023
Molecular dynamics (MD) and Monte Carlo (MC) have long coexisted as two main independent branches of molecular simulation. In the late eighties, however, algorithms based on the combination of both were created such as hybrid Monte Carlo which uses large MD steps as MC moves. An entirely different kind of combination emerged a decade later via the transition path sampling (TPS) method in which MD trajectories are not just part of the MC move, but also form the state space being sampled. Algorithms like replica exchange transition interface sampling (RETIS) exploit this idea to compute reaction rates via a series of TPS simulations. RETIS yields results identical to hypothetical long MD runs, but with exponentially reduced computation time. This perspective describes the RETIS method and discusses recent and future advancements that will enable the study of even longer molecular timescales with reasonable computational resources.
© 2023 The author(s)
Published by the EPLA under the terms of the Creative Commons Attribution 4.0 International License (CC-BY). Further distribution of this work must maintain attribution to the author(s) and the published article's title, journal citation, and DOI.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.