Machine Learning Design of Single-Atom Catalysts for Carbon Dioxide Reduction

Daniel Schwalbe Koda | 22-ERD-055

Executive Summary

This project will use high-throughput simulations and machine learning to accelerate the design of highly selective catalysts to produce valuable products from carbon dioxide. Recycling carbon dioxide to produce high-value products can reduce greenhouse gas emissions and provide a grid-scale energy storage system.