# Contour forward flux sampling: Sampling rare events along multiple   collective variables

**Authors:** Ryan S. DeFever, Sapna Sarupria

arXiv: 1901.03422 · 2019-01-14

## TL;DR

The paper introduces contour forward flux sampling (cFFS), a novel method for efficiently sampling rare events involving multiple collective variables without prior knowledge of the energy landscape.

## Contribution

cFFS is a new adaptive sampling technique that dynamically places nonlinear interfaces to study rare events with multiple CVs simultaneously.

## Key findings

- Successfully applied to analytical potential energy surfaces
- Effectively captured conformational change in alanine dipeptide
- Demonstrated ability to handle multiple CVs without prior landscape knowledge

## Abstract

Many rare event transitions involve multiple collective variables (CVs) and the most appropriate combination of CVs is generally unknown a priori. We thus introduce a new method, contour forward flux sampling (cFFS), to study rare events with multiple CVs simultaneously. cFFS places nonlinear interfaces on-the-fly from the collective progress of the simulations, without any prior knowledge of the energy landscape or appropriate combination of CVs. We demonstrate cFFS on analytical potential energy surfaces and a conformational change in alanine dipeptide.

## Full text

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## Figures

5 figures with captions in the complete paper: https://tomesphere.com/paper/1901.03422/full.md

## References

60 references — full list in the complete paper: https://tomesphere.com/paper/1901.03422/full.md

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Source: https://tomesphere.com/paper/1901.03422