Fluctuation-driven heterogeneous chemical processes

TL;DR

This paper introduces a stochastic framework for modeling heterogeneous chemical reactions, accounting for statistical fluctuations neglected in traditional mean field approaches, inspired by quantum system techniques.

Contribution

It develops a novel stochastic description of heterogeneous reactions that captures fluctuations, extending beyond conventional mean field models.

Findings

Provides a new stochastic modeling approach for surface reactions.

Demonstrates the importance of fluctuations in reaction kinetics.

Offers insights into reaction dynamics beyond traditional methods.

Abstract

We explore a new framework for describing the kinetics of a heterogeneous chemical reaction where two particles of the same chemical species form a reaction product of another chemical species on the surface of a seed particle. Traditional treatments neglect the effect of statistical fluctuations in populations. We employ techniques in a manner analogous to the treatment of quantum systems to develop a stochastic description of processes beyond the mean field approximation.