Subramanian Sankaranarayanan

Scientist

Argonne National Laboratory

• 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

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