Sergei V Kalinin Collaborator, University of Tennessee Contact kalininsv@ornl.gov | 865.241.0236 All Publications Exploring Causal Physical Mechanisms via Non-Gaussian Linear Models and Deep Kernel Learning: Applications for Ferroelectric ... Perspectives in Scanning Probe Microscopy from the 2021 Joint International Scanning Probe Microscopy and Scanning Probe Micr... Sculpting the Plasmonic Responses of Nanoparticles by Directed Electron Beam Irradiation... Disentangling ferroelectric domain wall geometries and pathways in dynamic piezoresponse force microscopy via unsupervised ma... Multi-objective Bayesian optimization of ferroelectric materials with interfacial control for memory and energy storage appli... Unraveling the hysteretic behavior at double cations-double halides perovskite - electrode interfaces... Deep Bayesian local crystallography... Sub-10 nm Probing of Ferroelectricity in Heterogeneous Materials by Machine Learning Enabled Contact Kelvin Probe Force Micro... Disentangling Ferroelectric Wall Dynamics and Identification of Pinning Mechanisms via Deep Learning... Effect of Surface Ionic Screening on Polarization Reversal and Phase Diagrams in Thin Antiferroelectric Films for Information... Oxygen Vacancy Injection as a Pathway to Enhancing Electromechanical Response in Ferroelectrics... Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy... Gaussian process analysis of electron energy loss spectroscopy data: multivariate reconstruction and kernel control... Probing Metastable Domain Dynamics via Automated Experimentation in Piezoresponse Force Microscopy... Probing polarization dynamics at specific domain configurations: Computer-vision based automated experiment in piezoresponse ... Deep learning ferroelectric polarization distributions from STEM data via with and without atom finding... Stress-induced phase transitions in nanoscale CuInP2S6... Flexosensitive polarization vortices in thin ferroelectric films... Bayesian Inference for Materials Physics from STEM Data: The Probability Distribution of Physical Parameters from Ferroelectr... A combined theoretical and experimental study of the phase coexistence and morphotropic boundaries in ferroelectric-antiferro... Beyond NMF: Advanced Signal Processing and Machine Learning Methodologies for Hyperspectral Analysis in EELS... Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy... Ensemble learning-iterative training machine learning for uncertainty quantification and automated experiment in atom-resolve... Causal Analysis of Parameterized Atomic HAADF-STEM Across a Doped Ferroelectric Phase Boundary... Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferr... Pagination First page « First Previous page ‹‹ Page 1 Current page 2 Page 3 … Next page ›› Last page Last » Key Links ORCID