2023 AIChE Annual Meeting
(269h) A Bayesian Approach to Curate the Optimal Sensing Elements for a Quantitative Gas Sensor Array
Authors
Gbenga Fabusola - Presenter, Oregon State University
Paul Morris, Oregon State University
Cory Simon, Oregon State University
Adam Lambert, Oregon State University
Our objective is to showcase a Bayesian computational method to curate the optimal combination of sensing elements for a gas sensor array. We achieve this objective by treating the gas sensing task as a statistical inverse problem. As an illustrative example, we demonstrate our method by curating the optimal pair of zeolitic imidazolate frameworks for a gravimetric sensor array for CO2/C2H4 sensing.