Condensed Matter Theory and Computation
Subhasish obtained his Ph.D. from the Department of Physics at Michigan Technological University in 2012 and M. Sc. from the Indian Institute of Technology Madras in 2007. He pursued his postdoctoral research in the Department of Physics and Astronomy at Rutgers University . Prior to that, Subhasish Mandal was a Yale-IBM postdoctoral researcher in the Department of Applied Physics at Yale University.
Subhasish's area of research is in the theoretical and computational aspects of quantum condensed matter physics. Through his research, which is based on the first-principles approaches, he investigates the behavior of electrons in many classes of quantum materials like high-temperature superconductors, Mott insulators, multiferroics, topological insulators, and topological superconductors, by predicting electronic, optical, and magnetic properties. To capture the physics of a wide range of phenomena in quantum condensed matter and quantum computing, he uses various first-principles theories and computations ranging from GW approximation to the dynamical mean-field theory (DMFT). He uses these quantum many-body approaches together with artificial intelligence for modeling and designing new correlated materials, with the aim to significantly accelerate the pace of materials discovery toward sustainable and quantum revolution.