Bayesian inference of substrate properties from film behavior

Abstract. We demonstrate that, by observing the behavior of a film deposited on a substrate, certain features of the substrate may be inferred with quantified uncertainty using Bayesian methods. We carry out this demonstration on an illustrative film/substrate model, where the substrate is a Gaussian random field and the film is a two-component mixture that obeys the Cahn-Hilliard equation. We construct a stochastic reduced order model to describe the film/substrate interaction and use it to infer substrate properties from film behavior. This quantitative inference strategy may be adapted to other film/substrate systems.