(536e) ATESA: An Automated Aimless Shooting Workflow
AIChE Annual Meeting
2020
2020 Virtual AIChE Annual Meeting
Computational Molecular Science and Engineering Forum
Forum Plenary: Computational Molecular Science and Engineering Forum Part 1 (Invited Talks)
Thursday, November 19, 2020 - 9:30am to 9:45am
Transition path sampling methods are an indispensable tool for computational study of the dynamics of rare events in molecular simulations. However, access to advanced sampling techniques is generally restricted to experts. ATESA is a new open-source software tool that automates a full transition path sampling workflow based on the aimless shooting algorithm, with a particular focus on extending accessibility to non-expert users who are familiar with the basics of molecular simulations, but not necessarily with programming or advanced sampling methods. Novel contributions to the theory are also described.