Finite-size corrections in simulation of dipolar fluids - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Journal of Chemical Physics Année : 2017

Finite-size corrections in simulation of dipolar fluids

Résumé

Monte Carlo simulations of dipolar fluids are performed at different numbers of particles N=100-4000. For each size of the cubic cell, the non-spherically symmetric pair distribution function g(r,) is accumulated in terms of projections g mnl (r) onto rotational invariants. The observed N dependence is in very good agreement with the theoretical predictions for the finite-size corrections of different origins: the explicit corrections due to the absence of fluctuations in the number of particles within the canonical simulation and the implicit corrections due to the coupling between the environment around a given particle and that around its images in the neighboring cells. The latter dominate in fluids of strong dipolar coupling characterized by low compressibility and high dielectric constant. The ability to clean with great precision the simulation data from these corrections combined with the use of very powerful anisotropic integral equation techniques means that exact correlation functions both in real and Fourier spaces, Kirkwood-Buff integrals and bridge functions can be derived from box sizes as small as N≈100, even with existing long-range tails. In presence of dielectric discontinuity with the external medium surrounding the central box and its replica within the Ewald treatment of the coulombic interactions, the 1/N dependence of the g mnl (r) is shown to disagree with the, yet well-accepted, prediction of the literature.
Fichier principal
Vignette du fichier
soumission.pdf (4.46 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-02382284 , version 1 (27-11-2019)

Identifiants

Citer

Luc Belloni, Joël Puibasset. Finite-size corrections in simulation of dipolar fluids. Journal of Chemical Physics, 2017, 147 (22), pp.224110. ⟨10.1063/1.5005912⟩. ⟨hal-02382284⟩
71 Consultations
49 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More