Simulation of phase transitions in highly asymmetric fluid mixtures
Jiwen Liu, Nigel B. Wilding, Erik Luijten

TL;DR
This paper introduces a new simulation method combining a geometric cluster algorithm with a restricted Gibbs ensemble to accurately study phase transitions in highly asymmetric fluid mixtures, overcoming limitations of traditional techniques.
Contribution
The paper develops a novel simulation approach that accurately determines phase behavior in asymmetric fluid mixtures by integrating geometric cluster algorithms with finite-size scaling theory.
Findings
Successfully locates critical points and coexistence curves
Demonstrates the method on several fluid mixture examples
Improves accuracy over conventional simulation algorithms
Abstract
We present a novel method for the accurate numerical determination of the phase behavior of fluid mixtures having large particle size asymmetries. By incorporating the recently developed geometric cluster algorithm within a restricted Gibbs ensemble, we are able to probe directly the density and concentration fluctuations that drive phase transitions, but that are inaccessible to conventional simulation algorithms. We develop a finite-size scaling theory that relates these density fluctuations to those of the grand-canonical ensemble, thereby enabling accurate location of critical points and coexistence curves of multicomponent fluids. Several illustrative examples are presented.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
