Sergei V Kalinin Collaborator, University of Tennessee Contact kalininsv@ornl.gov All Publications Bridging microscopy with molecular dynamics and quantum simulations: an atomAI based pipeline Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing Latent Mechanisms of Polarization Switching from In Situ Electron Microscopy Observations Chemical control of polarization in thin strained films of a multiaxial ferroelectric: Phase diagrams and polarization rotation Hypothesis Learning in Automated Experiment: Application to Combinatorial Materials Libraries Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process Towards automating structural discovery in scanning transmission electron microscopy* Exploring electron beam induced atomic assembly via reinforcement learning in a molecular dynamics environment Exploring Causal Physical Mechanisms via Non-Gaussian Linear Models and Deep Kernel Learning: Applications for Ferroelectric Domain Structures Tunable Microwave Conductance of Nanodomains in Ferroelectric PbZr0.2Ti0.8O3 Thin Film Unraveling the hysteretic behavior at double cations-double halides perovskite - electrode interfaces Multi-objective Bayesian optimization of ferroelectric materials with interfacial control for memory and energy storage applications Defect detection in atomic-resolution images via unsupervised learning with translational invariance Perspectives in Scanning Probe Microscopy from the 2021 Joint International Scanning Probe Microscopy and Scanning Probe Microscopy on Soft and Polymeric Materials Conference Sculpting the Plasmonic Responses of Nanoparticles by Directed Electron Beam Irradiation Deep Bayesian local crystallography... Disentangling ferroelectric domain wall geometries and pathways in dynamic piezoresponse force microscopy via unsupervised machine learning Effect of Surface Ionic Screening on Polarization Reversal and Phase Diagrams in Thin Antiferroelectric Films for Information and Energy Storage Sub-10 nm Probing of Ferroelectricity in Heterogeneous Materials by Machine Learning Enabled Contact Kelvin Probe Force Microscopy Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy The deep-DRT: A deep neural network approach to deconvolve the distribution of relaxation times from multidimensional electro... Oxygen Vacancy Injection as a Pathway to Enhancing Electromechanical Response in Ferroelectrics Disentangling Ferroelectric Wall Dynamics and Identification of Pinning Mechanisms via Deep Learning Probing polarization dynamics at specific domain configurations: Computer-vision based automated experiment in piezoresponse force microscopy Probing Metastable Domain Dynamics via Automated Experimentation in Piezoresponse Force Microscopy Pagination First page « First Previous page ‹‹ Page 1 Current page 2 Page 3 … Next page ›› Last page Last » Key Links ORCID
