JOURNAL ARTICLE

Modeling Gas Nucleation and Condensation Using the Direct Simulation Monte Carlo Method

Abstract

*† A general kinetic nucleation and condensation model is proposed and implemented in the direct simulation Monte Carlo method. Both gas and clusters are treated as particles in this model, and clusters possess internal energy and potential energy. Nucleation and condensation processes are treated as collision events, and the probability for possible nucleation or condensation is determined from the nucleation rate and sticking coefficient. Literature review shows that there are many uncertainties in gas nucleation and condensation theory. The proposed model is then very useful for parametric studies. Our parametric studies show that both nucleation rate and sticking coefficient affect properties of the gas and clusters. Simulation of supersonic flow in an expansion nozzle shows that the proposed model is able to simulate complicated flows involving clusters.

Keywords:
Nucleation Condensation Monte Carlo method Kinetic Monte Carlo Materials science Statistical physics Direct simulation Monte Carlo Kinetic energy Parametric statistics Thermodynamics Dynamic Monte Carlo method Physics Mathematics Classical mechanics

Metrics

2
Cited By
0.00
FWCI (Field Weighted Citation Impact)
34
Refs
0.14
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

nanoparticles nucleation surface interactions
Physical Sciences →  Earth and Planetary Sciences →  Atmospheric Science
Gas Dynamics and Kinetic Theory
Physical Sciences →  Mathematics →  Applied Mathematics
Advanced Chemical Physics Studies
Physical Sciences →  Physics and Astronomy →  Atomic and Molecular Physics, and Optics
© 2026 ScienceGate Book Chapters — All rights reserved.