PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 10, 1980Molecular Physics152 citations

The influence of boundary conditions used in machine simulations on the structure of polar systems

View Full Paper
MNM. NeumannOSOthmar Steinhauser

Key Points

  • This research aims to critically evaluate how boundary conditions in machine simulations affect the structural properties of polar systems.
  • Examine generalized Onsager models to analyze the impact of finite volume and potential cut-off on polar systems.
  • Analyze the mean electrostatic energy and Gk (R) behaviors in relation to boundary conditions.
  • Develop improved relations for volume dependence of <M 2>.
  • Deviations from infinite-system structures are primarily due to the truncation of the potential, not just finite volume.
  • Mean electrostatic energy shows only slight changes, while the asymptotic value of Gk (R) benefits from error cancellation.
  • Provides a clear physical understanding of the cut-off's influence and rigorously explains Barker's reaction field.

Abstract

Abstract Studying generalized Onsager models the effect of boundary conditions (finite volume and potential cut-off), used in machine simulations, on the structure of polar systems is examined critically. It is found that deviations from the infinite-system structure stem primarily from the truncation of the potential, which is by no means equivalent to a finite volume, as assumed so far. Intended originally to model computer-generated R-dependent Kirkwood g-factors, continuum theory also predicts correctly the qualitative shape of h Δ- and hD -curves, reported in 10 for various geometries. The present analysis enables, for the first time, a physical understanding of the influence of the cut-off. It turns out that the mean electrostatic energy is only slightly affected and that the asymptotic value of Gk (R) profits from a cancellation of errors. An improved relation is given for the volume dependence of . Within the framework of our models one can also understand rigorously the origin of Barker's reaction field.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Neumann et al. (1980) studied this question.

synapsesocial.com/papers/6a003374e92f4a033c854021https://doi.org/10.1080/00268978000100361
Ask AI
Helpful
Bookmark
Share
View Full Paper