Miguel Modestino (NYU)

Active Learning Algorithms for Autonomous Operation of CO2 Electrolyzers at Optimal Conditions

Academic Institution: NYU

Project Lead(s): Miguel Modestino, Associate Professor of Chemical Engineering, NYU

This team will develop and demonstrate a machine learning algorithm which can overcome challenges associated with CO2 conversion using electrolyzers. Electrolyzers are a low-carbon alternative to traditional methods of chemical production from CO2, but they are complex to operate. This algorithm will control and operate electrolyzers autonomously, optimizing conditions like temperature and pressure while adjusting to different CO2 feedstocks and changes in the device performance over time.

Focus Area(s): Sustainable Innovation, Machine Learning, Policy

Funding Cycle: 2022-2023