Machine Learning for Materials Design


The Machine Learning for Materials Design research group accelerates materials innovation through machine learning and computational modeling, with a focus on developing sustainable materials for a greener future. Our applications span energy storage devices, thermoelectrics, spintronics, neuromorphic devices, and advanced semiconductor modeling.


  • Dr. Attila Cangi
  • Lenz Fiedler
  • Karan Shah
  • Daniel Kotik
  • Dr. Hossein Tahmasbi
  • Dr. Sandeep Kumar

Research Topics


Related Publications