Monte Carlo Tests of Nucleation Concepts in the Lattice Gas Model
Fabian Schmitz, Peter Virnau, Kurt Binder

TL;DR
This paper tests classical nucleation theory using Monte Carlo simulations of the lattice gas model, examining cluster growth, nucleation barriers, and the validity of different cluster definitions across temperatures.
Contribution
It provides a detailed comparison of nucleation kinetics and cluster definitions in the lattice gas model, validating theoretical predictions and introducing methods to estimate nucleation barriers.
Findings
Physical clusters match volume estimates from the lever rule for large droplets.
Geometrical clusters are valid only below 60% of the critical temperature.
Chemical potential can be used to estimate nucleation barriers for non-spherical clusters.
Abstract
The conventional theory of homogeneous and heterogeneous nucleation in a supersaturated vapor is tested by Monte Carlo simulations of the lattice gas (Ising) model with nearest-neighbor attractive interactions on the simple cubic lattice. The theory considers the nucleation process as a slow (quasi-static) cluster (droplet) growth over a free energy barrier , constructed in terms of a balance of surface and bulk term of a "critical droplet" of radius , implying that the rates of droplet growth and shrinking essentially balance each other for droplet radius . For heterogeneous nucleation at surfaces, the barrier is reduced by a factor depending on the contact angle. Using the definition of "physical" clusters based on the Fortuin-Kasteleyn mapping, the time-dependence of the cluster size distribution is studied for "quenching experiments" in the kinetic Ising…
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