Frontiers in Nanotechnology Seminar Series Presents Sergei Kalinin, University of Tennessee
“Bits to Atoms and Atoms to Bits: Autonomous Science and Atomic Fabrication in Probe Microscopies“
Join us for ‘Bits to Atoms and Atoms to Bits: Autonomous Science and Atomic Fabrication in Probe Microscopies.‘ In this presentation, embark on a journey through the cutting edge of automated microscopy. Explore how classical deep learning techniques are revolutionizing real-time data analysis and unlocking the mysteries of physics at the atomic level. Discover how ensemble learning and iterative training (ELIT) of deep neural networks enable real-time analysis of scanning transmission electron microscopy (STEM) and scanning probe microscopy (SPM) data streams, paving the way for atomically precise engineering and topological defect identification.
Learn about deep kernel learning (DKL) and structured Gaussian Processes, tools that allow us to delve into complex systems and uncover the secrets of structure-property relationships. Join us as we bridge the gap between automated experiments and human insight in this exciting journey of discovery.
Get to Know Sergei Kalinin
Sergei Kalinin is a professor at the University of Tennessee, Knoxville, following 20 years at Oak Ridge National Laboratory and a year sabbatical at Amazon. He received his MS degree from Moscow State University in 1998 and his PhD from the University of Pennsylvania (with Dawn Bonnell) in 2002. His research focuses on the applications of big data and artificial intelligence methods in materials discovery and atomically resolved imaging by scanning transmission electron microscopy and scanning probes for applications including physics discovery and atomic fabrication, as well as mesoscopic studies of electrochemical, ferroelectric, and transport phenomena via scanning probe microscopy.
Sergei has co-authored >650 publications, with a total citation of ~50,000 and an h-index of >110. He is a fellow of MRS, AAIA, APS, MSA, IoP, IEEE, Foresight Institute, and AVS; a recipient of the Blavatnik Award for Physical Sciences (2018), RMS medal for Scanning Probe Microscopy (2015), Presidential Early Career Award for Scientists and Engineers (PECASE) (2009); Burton medal of Microscopy Society of America (2010); 5 R&D100 Awards, and a number of other distinctions