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Application of a new reverse Monte Carlo algorithm to polyatomic molecular systems. I. Liquid water
Author(s) -
Fernando Luís Barroso da Silva,
Wilmer Olivares–Rivas,
Léo Degrève,
Torbjörn Åkesson
Publication year - 2001
Publication title -
the journal of chemical physics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.071
H-Index - 357
eISSN - 1089-7690
pISSN - 0021-9606
DOI - 10.1063/1.1321766
Subject(s) - monte carlo method , reverse monte carlo , statistical physics , molecular dynamics , dynamic monte carlo method , monte carlo molecular modeling , consistency (knowledge bases) , polyatomic ion , liquid water , hybrid monte carlo , monte carlo algorithm , monte carlo method in statistical physics , computer science , algorithm , markov chain monte carlo , physics , molecule , chemistry , computational chemistry , thermodynamics , mathematics , neutron diffraction , statistics , quantum mechanics , artificial intelligence , diffraction , optics
Using a new reverse Monte Carlo algorithm, we present simulations that reproduce very well several structural and thermodynamic properties of liquid water. Both Monte Carlo, molecular dynamics simulations and experimental radial distribution functions used as input are accurately reproduced using a small number of molecules and no external constraints. Ad hoc energy and hydrogen bond analysis show the physical consistency and limitations of the generated RMC configurations.

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