Random Sequential Adsorption: From Continuum to Lattice and Pre-Patterned Substrates

TL;DR

This paper surveys the RSA model's behavior in different substrates, highlighting how pre-patterned surfaces influence the approach to jammed states and potential applications in nanoscale self-assembly.

Contribution

It compares continuum and lattice RSA models and explores the impact of pre-patterned substrates on the jamming process and surface engineering.

Findings

Differences in jammed states between continuum and lattice RSA.

Pre-patterned surfaces can enhance self-assembly processes.

RSA model insights applicable to nanoscale surface design.

Abstract

The random sequential adsorption (RSA) model has served as a paradigm for diverse phenomena in physical chemistry, as well as in other areas such as biology, ecology, and sociology. In the present work, we survey aspects of the RSA model with emphasis on the approach to and properties of jammed states obtained for large times in continuum deposition versus that on lattice substrates, and on pre-patterned surfaces. The latter model has been of recent interest in the context of efforts to use pre-patterning as a tool to improve selfassembly in micro- and nanoscale surface structure engineering.