Analytical and numerical study of particles with binary adsorption

TL;DR

This paper extends the random sequential adsorption model to analyze electro-oxidation of ethanol, providing analytical and numerical insights into coverage, percolation, and impurity effects in fuel-cell processes.

Contribution

It introduces a generalized adsorption model with analytical solutions in 1D and Monte Carlo simulations in 2D for ethanol electro-oxidation.

Findings

Analytical solution for 1D adsorption process.

Monte Carlo results for 2D coverage and percolation.

Impurities influence oxidation product selectivity.

Abstract

Electro-oxidation of ethanol represents a key process in fuel-cells technology. We introduce a generalization of the random sequential adsorption model to study the long timescale and large length scale properties of the electro-oxidation process. We provide an analytical solution for one dimension and Monte Carlo results in two dimensions. We characterize the coverage and percolation properties of the jammed state and unveil the influence of quenched impurities in the selectivity of oxidation products.