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Subramanian Sankaranarayanan

Joint Appointment/ Group Leader, Theory and Modeling Group


  • Ph.D., University of South Florida
  • Postdoc, Harvard University
  • Research interest is in the following areas:
    • Machine learning to bridge the electronic, atomistic and mesoscopic scales
    • Integrate atomistic (and continuum) simulations with ultrafast X-ray imaging
    • Inverse design for materials discovery and machine learning to predict metastable phase diagrams
    • Applications of interest include tribology, corrosion, neuromorphic computing, energy storage and thermal management