Sergei V Kalinin Collaborator, University of Tennessee Contact kalininsv@ornl.gov | 865.241.0236 All Publications Discovering invariant spatial features in electron energy loss spectroscopy images on the mesoscopic and atomic levels Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric mat... Discovering mechanisms for materials microstructure optimization via reinforcement learning of a generative model Physics Discovery in Nanoplasmonic Systems via Autonomous Experiments in Scanning Transmission Electron Microscopy... Probing Temperature-Induced Phase Transitions at Individual Ferroelectric Domain Walls... Enabling Autonomous Electron Microscopy for Networked Computation and Steering... Electron-Beam Induced Emergence of Mesoscopic Ordering in Layered MnPS3... Dynamic control of ferroionic states in ferroelectric nanoparticles... Temperature-Assisted Piezoresponse Force Microscopy: Probing Local Temperature-Induced Phase Transitions in Ferroics... Strain-Induced asymmetry and on-site dynamics of silicon defects in graphene... Atomic-scale Fabrication of 1D-2D Nano Hetero-structures within 2D Materials through Automated Tracking and Electron Beam Con... Highly enhanced ferroelectricity in HfO2-based ferroelectric thin film by light ion bombardment... Exploring leakage in dielectric films via automated experiments in scanning probe microscopy... Observability of negative capacitance of a ferroelectric film: Theoretical predictions... Bridging microscopy with molecular dynamics and quantum simulations: an atomAI based pipeline... Experimental discovery of structure–property relationships in ferroelectric materials via active learning... Automated Experiment in 4D-STEM: Exploring Emergent Physics and Structural Behaviors... Light–ferroelectric interaction in two-dimensional lead iodide perovskites Hypothesis Learning in Automated Experiment: Application to Combinatorial Materials Libraries... Chemical control of polarization in thin strained films of a multiaxial ferroelectric: Phase diagrams and polarization rotati... Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process... Tunable Microwave Conductance of Nanodomains in Ferroelectric PbZr0.2Ti0.8O3 Thin Film... 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 ... Pagination Current page 1 Page 2 Page 3 … Next page ›› Last page Last » Key Links ORCID
