The objective of our work is to develop predictive theories of surface chemistry related to heterogeneous catalysis, electrocatalysis and photocatalysis. We are currently working on a number of projects in the fields of sustainable energy generation and conversion, functional nanomaterials, fundamental and applied heterogeneous catalysis. We use a range of experimental techniques including those aimed at performance assessment, kinetic analysis of chemical transformations, in operando spectroscopy, and electron microscopy. These experimental techniques are combined with first principles theoretical tools such as electronic structure calculations (DFT), ab initio kinetics and thermodynamics, and optical simulations.
Accomplishments and Awards
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University of Michigan Team Developing Reactor to Convert Natural Gas to Industrial Chemicals
- 2021 Propelling Original Data Science (PODS) Grant Award: Interpretable Machine Learning for Identifying Descriptors of Catalysts for Chemical Conversion