Smarter Electrolysis in Rock Reactors

Joseph D. Chiong

Published: 25 Mar 2026, Last Modified: 16 Jun 2026AI4X-AC 2026 PosterEveryoneRevisionsBibTeXCC BY 4.0
Submission Type: I want my submission to be considered for poster only
Keywords: Carbon capture and storage, CO2 mineralization, Electrocatalysis, Machine learning, Bayesian optimization
TL;DR: Bayesian optimization is proposed to tune Rock Reactor electrolysis parameters to overcome impractical grid-search optimization and maximize CO2 mineralization per unit energy input.
Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.
PDF: pdf
Submission Number: 327