THE REVERSE MONTE-CARLO TECHNIQUE APPLIED TO FLUIDS OF DIATOMIC-MOLECULES

Citation
D. Colognesi et al., THE REVERSE MONTE-CARLO TECHNIQUE APPLIED TO FLUIDS OF DIATOMIC-MOLECULES, Molecular physics, 88(2), 1996, pp. 465-476
Citations number
18
Categorie Soggetti
Physics, Atomic, Molecular & Chemical
Journal title
ISSN journal
00268976
Volume
88
Issue
2
Year of publication
1996
Pages
465 - 476
Database
ISI
SICI code
0026-8976(1996)88:2<465:TRMTAT>2.0.ZU;2-Y
Abstract
A careful analysis of the three-dimensional structures of liquid iodin e obtained with the reverse Monte Carlo (RMC) and molecular dynamics ( MD) techniques is presented. The analysis allows one to measure the de gree of nonuniqueness between the potential and the radial distributio n functions g(r), in the case of pairwise but not purely site-site int eractions. The g(r) obtained from MD simulations are used as 'experime ntal' input data in the RMC procedure and the constraint of rigid mole cules is imposed. The particle configurations produced by RMC are then studied by using a recently proposed general method for analysing the local order in liquids. The same analysis applied to the particle con figurations produced by the conventional MD simulation yields a set of partial distribution functions which relates the main features of the g(r) to microscopic pair geometries. A comparison of the partial g(r) shows that the three-dimensional structures produced by the MD and RM C simulations differ significantly. In other words, even if the potent ial is purely pairwise additive, the use of the atomic radial distribu tion function as input data and the imposition of atomic constraints w hich model the molecules as hard dumbbells is not sufficient to bring the RMC procedure towards the 'true' microscopic structure of the liqu id. The discrepancies are particularly evident for the elongated confi gurations, such as the T, L and end-to-end. The use of the centres of mass distribution functions as additional input data does not yield si gnificant improvements in the microscopic local order predicted by the RMC simulation.