2D Crystal Shapes, Droplet Condensation and Exponential Slowing Down in Simulations of First-Order Phase Transitions
Thomas Neuhaus, Johannes S. Hager

TL;DR
This paper investigates the exponential slowing down in simulations of first-order phase transitions, focusing on 2D Ising models, droplet shape transitions, and finite size effects, using classical droplet theory and numerical simulations.
Contribution
It provides a detailed analysis of droplet shape transitions, finite size corrections, and phase transition discontinuities in 2D Ising models through combined theoretical and simulation approaches.
Findings
Droplet shape transitions cause exponential autocorrelation time growth.
Finite size corrections include Gibbs-Thomson and capillary wave effects.
The condensation transition remains discontinuous in finite systems.
Abstract
Multicanonical ensemble simulations for the simulation of first-order phase transitions suffer from exponential slowing down. Monte Carlo autocorrelation times diverge exponentially with free energy barriers , which in boxes grow as . We exemplify the situation in a study of the 2D Ising-model at temperature for two different lattice manifolds, toroidal lattices and surfaces of cubes. For both geometries the effect is caused by discontinuous droplet shape transitions between various classical crystal shapes obeying geometrical constraints. We use classical droplet theory and numerical simulations to calculate transition points and barrier heights. On toroidal lattices we determine finite size corrections to the droplet free energy, which are given by a linear combination of Gibbs-Thomson corrections, capillary wave fluctuation corrections, constant…
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Taxonomy
TopicsOpinion Dynamics and Social Influence · Theoretical and Computational Physics · Complex Network Analysis Techniques
