Salil Bavdekar

About

Salil Bavdekar is an Assistant Professor at Illinois State University, USA. His research focuses on the application of machine learning in materials science, particularly in the areas of ceramics, semiconductor systems, and nanomechanical properties. Recent articles explore topics such as crystal orientation effects in boron carbide, machine-learned interatomic potentials, and the characterization of multilayer graphene. He is also involved in understanding failure mechanisms in brittle materials and enhancing the discovery of complex ceramics through computational methods.