Innovator Profile
Sergei Kalinin
Weston Fulton Chair Professor of Materials Science and Engineering University of Tennessee, Knoxville
Dr. Kalinin received his Ph.D. in Materials Science and Engineering from the University of Pennsylvania. His research interests include atom by atom fabrication, application of machine learning and artificial intelligence in atomically resolved and mesoscopic imaging to guide the development of advanced materials for energy and information technologies, as well as coupling between electromechanical, electrical, and transport phenomena on the nanoscale. He has published more than 500 peer-reviewed journal papers, edited 4 books, and holds more than 10 patents. He is also a member of editorial boards for several international journals, including Nanotechnology, Journal of Applied Physics/Applied Physics Letters, and recently established Nature Partner Journal Computational Materials.
Available Technologies
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Reward Driven Workflows: Post-Acquisition & Real-Time Analysis
Researchers at the University of Tennessee have developed a machine learning, reward driven workflow for image analysis. Machine learning algorithms a ... (read more) -
Reward Driven Optimization: Scanning Probe Microscopy - Imaging & Spectroscopy
Researchers at the University of Tennessee have developed a reward-driven workflow to optimize Scanning Probe Microscopy (SPM). The reward function ca ... (read more)
