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Entropy 2014, 16(1), 233-257;

Dynamical Non-Equilibrium Molecular Dynamics

Dipartimento di Fisica, Università di Roma La Sapienza, P.le A. Moro 2, 00185 Roma, Italy
Dipartimento di Scienze Fisiche, Informatiche e Matematiche, Università di Modena e Reggio Emila, Via G. Campi 213/A, 41125 Modena, Italy
Author to whom correspondence should be addressed.
Received: 10 November 2013 / Revised: 26 November 2013 / Accepted: 16 December 2013 / Published: 27 December 2013
(This article belongs to the Special Issue Molecular Dynamics Simulation)
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In this review, we discuss the Dynamical approach to Non-Equilibrium Molecular Dynamics (D-NEMD), which extends stationary NEMD to time-dependent situations, be they responses or relaxations. Based on the original Onsager regression hypothesis, implemented in the nineteen-seventies by Ciccotti, Jacucci and MacDonald, the approach permits one to separate the problem of dynamical evolution from the problem of sampling the initial condition. D-NEMD provides the theoretical framework to compute time-dependent macroscopic dynamical behaviors by averaging on a large sample of non-equilibrium trajectories starting from an ensemble of initial conditions generated from a suitable (equilibrium or non-equilibrium) distribution at time zero. We also discuss how to generate a large class of initial distributions. The same approach applies also to the calculation of the rate constants of activated processes. The range of problems treatable by this method is illustrated by discussing applications to a few key hydrodynamic processes (the “classical” flow under shear, the formation of convective cells and the relaxation of an interface between two immiscible liquids). View Full-Text
Keywords: non-equilibrium; molecular dynamics; dynamical relaxation; hydrodynamics non-equilibrium; molecular dynamics; dynamical relaxation; hydrodynamics
This is an open access article distributed under the Creative Commons Attribution License (CC BY 3.0).
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Ciccotti, G.; Ferrario, M. Dynamical Non-Equilibrium Molecular Dynamics. Entropy 2014, 16, 233-257.

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