Research/Areas of Interest
His research centers on computational modeling of nanoscale materials, with a focus on their applications in catalysis, separation, optoelectronics, and energy storage systems such as batteries. His group employs a combination of density functional theory, machine learning, and advanced simulation methods to gain fundamental insights into energy transfer and chemical transformations at material interfaces.
Biography
Bin Wang is currently a Visiting Professor in the Chemical and Biological Engineering Department at Tufts University. Previously, he was a Conoco-DuPont Professor at the School of Sustainable Chemical, Biological and Materials Engineering at the University of Oklahoma. He also holds visiting professor positions at the Lawrence Livermore National Laboratory and Max Planck Institute for Sustainable Materials. He received his Ph.D. in Chemistry from Ecole Normale Supérieure de Lyon supported by a Marie Curie Fellowship and then worked as a postdoctoral researcher in Department of Physics and Astronomy at Vanderbilt University. He received a Department of Energy Early Career award, an American Chemical Society (ACS) COMP OpenEye Outstanding Junior Faculty Award, and a Friedrich Wilhelm Bessel Research Award by the Alexander von Humboldt Foundation. He is included in the list of "Influential Researchers" by ACS I&EC Research and Highly Cited Researcher in the field of Cross-Field by Clarivate.