In Silico Searches for Efficient Renewable Energy Catalysts Through Chemical Compound Space
This talk will provide an overview of our group’s work using both standard and atypical high-performance computational chemistry modeling to elucidate atomic scale reaction mechanisms of catalytic reactions. I will introduce our toolkit of in silico methods for accurately modeling solvating environments and realistic nanoscale architectures. I will then present how these methods can be used for predictive insights into chemical and material design. The talk will then summarize our progress in unraveling reaction mechanisms for 1) electrochemical CO2 reduction with aromatic N-heterocycles and 2) CO2 reduction on partially reduced Sn oxide materials.