Go-Game-Driven Introduction to Monte Carlo Simulation of Langmuir Adsorption

Abstract The ancient Chinese strategy game Go is an ideal analogical anchor for teaching the Langmuir monolayer adsorption model. Well-crafted gameplay that integrates Go sets with dice rolls can simulate stochastic molecular collisions and visualize complex computational logic. Building on this, a game-to-code teaching module was proposed to introduce Monte Carlo (MC) simulation of Langmuir adsorption to second-year undergraduates. The module progresses sequentially from hands-on game to algorithmic flowcharting, Python coding and guided inquiry-based extensions. Postclass evaluation (n = 28) demonstrated that this approach effectively resolved students’ misconceptions regarding static equilibrium and the macroscopic-microscopic gap. Students also constructed the Langmuir isotherm directly through sensitivity analysis of simulated data and computational parameter mapping. Ultimately, the module effectively weakens the sense of mystery surrounding MC simulation to strengthen understanding of the Langmuir model’s underlying microscopic and statistical essence, while promoting transferable computational thinking and scientific inquiry competencies.