Sergei V Kalinin Collaborator, University of Tennessee Contact kalininsv@ornl.gov All Publications Deep learning ferroelectric polarization distributions from STEM data via with and without atom finding... Gaussian process analysis of electron energy loss spectroscopy data: multivariate reconstruction and kernel control Flexosensitive polarization vortices in thin ferroelectric films... Stress-induced phase transitions in nanoscale CuInP2S6 Building an edge computing infrastructure for rapid multi-dimensional electron microscopy... Automatic detection of crystallographic defects in STEM images by unsupervised learning with translational invariance Beyond NMF: Advanced Signal Processing and Machine Learning Methodologies for Hyperspectral Analysis in EELS A combined theoretical and experimental study of the phase coexistence and morphotropic boundaries in ferroelectric-antiferro... Atomic-scale Feedback-controlled Electron Beam Fabrication of 2D Materials Ensemble learning-iterative training machine learning for uncertainty quantification and automated experiment in atom-resolved microscopy Bayesian Inference for Materials Physics from STEM Data: The Probability Distribution of Physical Parameters from Ferroelectric Domain Wall Observations Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy 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 Ferroelectrics Bayesian Learning of Adatom Interactions from Atomically Resolved Imaging Data Identification and correction of temporal and spatial distortions in Scanning Transmission Electron Microscopy Exploring Transport Behavior in Hybrid Perovskites Solar Cells via Machine Learning Analysis of Environmental-Dependent Imped... Exploring the physics of cesium lead halide perovskite quantum dots via Bayesian inference of the photoluminescence spectra in automated experiment Revealing the Chemical Bonding in Adatom Arrays via Machine Learning of Hyperspectral Scanning Tunneling Spectroscopy Data Ferroic Halide Perovskite Optoelectronics... Role of Decomposition Product Ions in Hysteretic Behavior of Metal Halide Perovskite Exploring Responses of Contact Kelvin Probe Force Microscopy in Triple-Cation Double-Halide Perovskites Probing atomic-scale symmetry breaking by rotationally invariant machine learning of multidimensional electron scattering Ferroelectric and Charge Transport Properties in Strain-Engineered Two-Dimensional Lead Iodide Perovskites Separating Physically Distinct Mechanisms in Complex Infrared Plasmonic Nanostructures via Machine Learning Enhanced Electron Energy Loss Spectroscopy Pagination First page « First Previous page ‹‹ … Page 2 Current page 3 Page 4 … Next page ›› Last page Last » Key Links ORCID
