Repository: Freie Universität Berlin, Math Department

Molecular systems with open boundaries: Theory and Simulation

Delle Site, L. and Praprotnik, M. (2017) Molecular systems with open boundaries: Theory and Simulation. Physics Reports, 693 . pp. 1-56. ISSN 0370-1573

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Official URL: https://dx.doi.org/10.1016/j.physrep.2017.05.007

Abstract

Typical experimental setups for molecular systems must deal with a certain coupling to the external environment, that is, the system is open and exchanges mass, momentum, and energy with its surroundings. Instead, standard molecular simulations are mostly performed using periodic boundary conditions with a constant number of molecules. In this review, we summarize major development of simulation methodologies, which, contrary to standard techniques, open up the boundaries of a molecular system and allow for exchange of energy and matter with the environment, in and out of equilibrium. In particular, we construct the review around the open boundary simulation approaches based on the Adaptive Resolution Scheme (AdResS), which seamlessly couples different levels of resolution in molecular simulations. Ideas and theoretical concepts used in its development lie at the crossroad of different fields and disciplines and open many different directions for future developments in molecular simulation. We examine progress related to theoretical as well as novel modeling approaches bridging length scales from quantum to the continuum description and report on their application in various molecular systems. The outlook of the review is dedicated to the perspective of how to further incorporate rigorous theoretical approaches such as the Bergmann–Lebowitz and Emch–Sewell models into the molecular simulation algorithms and stimulate further development of open boundary simulation methods and their application.

Item Type:Article
Subjects:Mathematical and Computer Sciences > Mathematics > Mathematical Modelling
Divisions:Department of Mathematics and Computer Science > Institute of Mathematics > BioComputing Group
ID Code:2196
Deposited By: BioComp Admin
Deposited On:09 Feb 2018 09:40
Last Modified:17 May 2019 10:42

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