Sergei V Kalinin Collaborator, University of Tennessee Contact kalininsv@ornl.gov | 865.241.0236 All Publications Physical discovery in representation learning via conditioning on prior knowledge 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... Enabling Autonomous Electron Microscopy for Networked Computation and Steering... Probing Temperature-Induced Phase Transitions at Individual Ferroelectric Domain Walls... 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... Observability of negative capacitance of a ferroelectric film: Theoretical predictions... 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... 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 Bridging microscopy with molecular dynamics and quantum simulations: an atomAI based pipeline... 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 Hypothesis Learning in Automated Experiment: Application to Combinatorial Materials Libraries... Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process... Exploring Causal Physical Mechanisms via Non-Gaussian Linear Models and Deep Kernel Learning: Applications for Ferroelectric ... Tunable Microwave Conductance of Nanodomains in Ferroelectric PbZr0.2Ti0.8O3 Thin Film... Pagination Current page 1 Page 2 Page 3 … Next page ›› Last page Last » Key Links ORCID