Measurement of Isothermal Pressure of Lattice Gas by Random Walk
Daniel C. Hong, Kevin McGouldrick
TL;DR
This paper introduces a computational random walk method to measure the isothermal pressure of lattice gases, effectively handling interactions and aligning well with theoretical predictions.
Contribution
The paper develops a novel random walk-based computational approach for measuring lattice gas pressure, including effects of excluded volume interactions.
Findings
Simulation results match theoretical predictions
Method accurately measures pressure with and without interactions
Provides a new computational tool for lattice gas thermodynamics
Abstract
We present a computational random walk method of measuring the isothermal pressure of the lattice gas with and without the excluded volume interaction. The method is based on the discretization of the exact thermodynamic relation for the pressure. The simulation results are in excellent agreement with the theoretical predictions.
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