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SUMMARY:Deep Neural Networks in Electron Microscopy of Quantum Materials: 
 From Learning Physics to Atomic Manipulation
DTSTART:20190527T131500
DTEND:20190527T141500
DTSTAMP:20260506T132915Z
UID:2b04070695f8f2df0150135255d62dc6b2d8ed7635e1e7810b1ef108
CATEGORIES:Conferences - Seminars
DESCRIPTION:Prof Sergei Kalinin\, Center for Nanophase Materials Sciences 
 (CNMS)\, Oak Ridge National Laboratory USA\nAtomically-resolved imaging of
  materials has become the mainstay of modern materials science\, as enable
 d by advent of aberration corrected scanning transmission electron microsc
 opy (STEM). However\, the wealth of quantitative information contained in 
 the fine details of atomic structure or spectra remains largely unexplored
 . In this talk\, I will present the new opportunities enabled by physics-i
 nformed big data and machine learning technologies to extract physical inf
 ormation from static and dynamic STEM images. The deep learning models tra
 ined on theoretically simulated images or labeled library data demonstrate
  extremely high efficiency in extracting atomic coordinates and trajectori
 es\, converting massive volumes of statistical and dynamic data into struc
 tural descriptors. I further present a method to take advantage of atomic-
 scale observations of chemical and structural fluctuations and use them to
  build a generative model (including near-neighbor interactions) that can 
 be used to predict the phase diagram of the system in a finite temperature
  and composition space. Similar approach is applied to probe the kinetics 
 of solid-state reactions on a single defect level and defect formation in 
 solids via atomic-scale observations. Finally\, synergy of deep learning i
 mage analytics and real-time feedback further allows harnessing beam-induc
 ed atomic and bond dynamics to enable direct atom-by-atom fabrication. Exa
 mples of direct atomic motion over mesoscopic distances\, engineered dopin
 g at selected lattice site\, and assembly of multiatomic structures will b
 e demonstrated. These advances position STEM towards transition from purel
 y imaging tool for atomic-scale laboratory of electronic\, phonon\, and qu
 antum phenomena in atomically-engineered structures.\nThis research was sp
 onsored by the Division of Basic Energy Sciences\, BES\, DOE\, and was con
 ducted at the Center for Nanophase Materials Sciences\, sponsored at Oak R
 idge National Laboratory by the Scientific User Facilities Division.\nBio:
  Sergei V. Kalinin is the director of the ORNL Institute for Functional Im
 aging of Materials and distinguished research staff member at the Center f
 or Nanophase Materials Sciences (CNMS) at Oak Ridge National Laboratory\, 
 as well as a theme leader for Electronic and Ionic Functionality on the Na
 noscale (at ORNL since 2002). He also holds a Joint Associate Professor po
 sition at the Department of Materials Science and Engineering at the Unive
 rsity of Tennessee-Knoxville\, and an Adjunct Faculty position at Pennsylv
 ania State University. His research interests include application of big d
 ata\, deep data\, and smart data approaches in atomically resolved and mes
 oscopic imaging to guide the development of advanced materials for energy 
 and information technologies\, as well as coupling between electromechanic
 al\, electrical\, and transport phenomena on the nanoscale. He received hi
 s Ph.D. from the University of Pennsylvania in 2002\, followed by a Wigner
  fellowship at ORNL (2002-2004). He is a recipient of the Blavatnik Nation
 al Awards for Young Scientists (2018)\; RMS medal for Scanning Probe Micro
 scopy (2015)\; Presidential Early Career Award for Scientists and Engineer
 s (PECASE) (2009)\; IEEE-UFFC Ferroelectrics Young Investigator Award (201
 0)\; Burton medal of Microscopy Society of America (2010)\; ISIF Young Inv
 estigator Award (2009)\; American Vacuum Society Peter Mark Memorial Award
  (2008)\; R&D100 Awards (2008 and 2010)\; Ross Coffin Award (2003)\; Rober
 t L. Coble Award of American Ceramics Society (2009)\; and a number of oth
 er distinctions. He has published more than 500 peer-reviewed journal pape
 rs\, edited 3 books\, and holds more than 10 patents. He has organized num
 erous symposia (including symposia on Scanning Probe Microscopy on Materia
 ls Research Society Fall meeting in 2004\, 2007\, and 2009) and workshops 
 (including International workshop series on PFM and Nanoferroelectrics)\, 
 and acted as consultant for companies such as Intel and several Scanning P
 robe Microscopy manufacturers. He is also a member of editorial boards for
  several international journals\, including Nanotechnology\, Journal of Ap
 plied Physics/Applied Physics Letters\, and recently established Nature Pa
 rtner Journal Computational Materials.
LOCATION:MXF 1 https://plan.epfl.ch/?room==MXF%201
STATUS:CONFIRMED
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