Davis’ research focuses on theoretical investigations of nanomaterials and renewable energy materials. He is interested in the intersection of machine learning, computational models, and materials characterization. His current research focuses on the application of machine learning and genetic algorithms to accelerate the theoretical inversion of experimental materials characterization data. 

Education

• BA, Physics, Bowdoin College
• PhD, Physics, University of California Davis

Publications

Google Scholar profile