Boris Kozinsky

Boris Kozinsky is the Gordon McKay Professor of Materials Science and Mechanical Engineering and Professor of Chemistry and Chemical Biology at Harvard University's John A. Paulson School of Engineering and Applied Sciences. His research interests include computational materials science, machine learning, and data science, with a focus on modeling and simulation of materials behavior. Kozinsky's work spans applied mathematics, artificial intelligence, and energy storage materials. He is affiliated with the Department of Mechanical Engineering and contributes to interdisciplinary research in science and engineering for climate technology. His profile page highlights his expertise in computational science and engineering, as well as his contributions to the field of materials science.

Boris Kozinsky is a computational materials scientist at Harvard University, focusing on the development and application of machine learning techniques to materials discovery and simulation. His research spans computational materials science, with particular emphasis on batteries, thermoelectrics, catalysis, and the design of interatomic potentials. Kozinsky's work includes the creation of E(3)-equivariant graph neural networks for data-efficient interatomic potentials and the development of tools like AiiDA for computational science. His publications explore topics such as lithium-air batteries, thermoelectric properties, and the role of disorder in thermal conductivity. His research integrates machine learning with first-principles calculations to advance materials for energy applications.