Group Leader, Data NanoAnalytics (DNA) Group at Center for Nanophase Materials Sciences, Oak Ridge National Laboratory. My research is focused on smart, autonomous synthesis and characterization tools driven by improvements in machine learning and tight integration between theory, automation and individual instruments. Specific sub-focus is on applications and development of scalable reinforcement learning for scanning probe microscopy, to optimize, manipulate and better characterize ferroic materials at the nanoscale, and upgrade scanning probe microscopy from a standard characterization tool to one capable of autonomous physics discovery by connecting algorithms, edge computing and theory in end-to-end automated workflows.
2023 R&D100 Award
2022 Outstanding Scholarly Output Award, ORNL
2019 Microscopy Today Innovation Award (with colleagues) for "AI Crystallographer"
2015 ORNL Postdoctoral Research Award
Fellow, American Physical Society (Unit: Topical Group on Data Science)
Trademarks and Patents
Pan-sharpening for microscopy. US Patent #11313878
Olga S Ovchinnikova, Nikolay Borodinov, Anton V Ievlev, Sergei V Kalinin, Rama K Vasudevan