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Molecular Physics
An International Journal at the Interface Between Chemistry and Physics
Volume 119, 2021 - Issue 19-20: Special Issue in honour of Michael L. Klein FRS
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Klein Special Issue

Hamiltonian based resonance-free approach for enabling very large time steps in multiple time-scale molecular dynamics

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Article: e1923848 | Received 09 Jan 2021, Accepted 15 Apr 2021, Published online: 10 May 2021
 

Abstract

Extended phase-space isokinetic methods in their deterministic [Minary et al., Phys. Rev. Lett. 93, 150201 (2004)] and stochastic forms [Leimkuhler et al., Mol. Phys. 111, 3579 (2013)] have proved tremendously successful in allowing multiple time-scale molecular dynamics simulations to be performed with very large time steps. These methods work by coupling the physical degrees of freedom to a set of Nosé-Hoover chain or Nosé-Hoover Langevin thermostats via an isokinetic constraint, which has the effect of avoiding resonance artifacts that plague multiple time-step algorithms. In this paper, we introduce a new resonance-free approach that achieves the same gains in time step but without the imposition of isokinetic constraints or the introduction of extended phase-space variables. Rather, we modify the physical Hamiltonian that effects the same regulation of resonances achieved by the isokinetic constraints. In so doing, we show that sampling errors can be controlled and performance improvements are possible within a simpler Hamiltonian framework. The method is demonstrated in simulations of the structure of liquid water and, in conjunction with enhanced sampling, in generation of the Ramachandran free-energy surface of the solvated alanine dipeptide.

GRAPHICAL ABSTRACT

Acknowledgments

C.R.A.A. thanks the Federal University of Rio de Janeiro for a sabbatical leave and the New York University for a visiting scholar program membership.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Additional information

Funding

M.E.T acknowledges funding from the U.S. National Science Foundation, grant # CHE-1955381.

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