Series expansion and computer simulation studies of random sequential adsorption

TL;DR

This paper reviews series expansion and Monte Carlo simulation techniques for studying random sequential adsorption, focusing on coverage calculations and recent advances in modeling surface deposition processes.

Contribution

It introduces new computational methods and results for analyzing coverage in random sequential adsorption, enhancing understanding of surface deposition dynamics.

Findings

Development of series expansion techniques for coverage calculation

Implementation of Monte Carlo simulations for adsorption modeling

Presentation of new results in random sequential adsorption studies

Abstract

We discuss two important techniques, series expansion and Monte Carlo simulation, for random sequential adsorption study. Random sequential adsorption is an idealization for surface deposition where the time scale of particle relaxation is much longer than the time scale of deposition. Particles are represented as extended objects which are adsorbed to a continuum surface or lattice sites. Once landed on the surface, the particles stick to the surface. We review in some details various methods of computing the coverage theta(t) and present some of the recent and new results in random sequential adsorption.