An Integrated Platform for In Situ Electroanalytical–Driven Reaction Optimization

Timothy J. McClure, Elvis C. McFee, Shi Xuan Leong, Seren G. Parikh, Luna D. Paffrath, Sergio Pablo-García, Matthew E. Reish, Stephen Maldonado, Alan Aspuru-Guzik, Corinna S. Schindler

Submission Type: I want my submission to be considered for both oral and poster presentation.

Keywords: High-throughput experimentation (HTE), Organic Chemistry, Organic Electrosynthesis, Electrochemical Machine Learning, In situ descriptors, Automated experimental control, Bayesian Optimization, Vision-Language Models, Physics-informed machine learning

TL;DR: In situ electroanalysis is integrated into a novel high-throughput electrosynthesis platform to enable physically grounded, data-efficient machine-learning-guided reaction optimization.

Confirmation Of Submission Requirements: I submit an abstract. It uses the template provided on the submission page and is no longer than 2 pages.

Submission Number: 309