Fast-Forward Langevin Dynamics with Momentum Flips
Mahdi Hijazi, David M. Wilkins, Michele Ceriotti

TL;DR
This paper introduces a simple modification to Langevin dynamics, flipping particle momentum when it changes direction, which improves sampling efficiency especially at high friction levels in molecular simulations.
Contribution
The authors propose a fast-forward Langevin thermostat with momentum flips that maintains correct equilibrium sampling and enhances performance in high-friction regimes.
Findings
Improved sampling efficiency at high friction levels.
Order of magnitude performance enhancement in overdamped regimes.
Maintains correct equilibrium distribution.
Abstract
Stochastic thermostats based on the Langevin equation, in which a system is coupled to an external heat bath, are popular methods for temperature control in molecular dynamics simulations due to their ergodicity and their ease of implementation. Traditionally, these thermostats suffer from sluggish behaviour in the limit of high friction, unlike thermostats of the Nos\'e-Hoover family whose performance degrades more gently in the strong coupling regime. We propose a simple and easy-to-implement modification to the integration scheme of the Langevin algorithm that addresses the fundamental source of the overdamped behaviour of high-friction Langevin dynamics: if the action of the thermostat causes the momentum of a particle to change direction, it is flipped back. This fast-forward Langevin equation preserves the momentum distribution, and so guarantees the correct equilibrium sampling.…
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