Rama K Vasudevan Group Leader, Data NanoAnalytics Group at the CNMS Contact vasudevanrk@ornl.gov | 865.574.1034 All Publications Probing atomic-scale symmetry breaking by rotationally invariant machine learning of multidimensional electron scattering... Strain-driven autonomous control of cation distribution for artificial ferroelectrics... Separating Physically Distinct Mechanisms in Complex Infrared Plasmonic Nanostructures via Machine Learning Enhanced Electron... Propagation of priors for more accurate and efficient spectroscopic functional fits and their application to ferroelectric hy... Thermodynamics of order and randomness in dopant distributions inferred from atomically resolved imaging... Investigating phase transitions from local crystallographic analysis based on statistical learning of atomic environments in ... Predictability as a probe of manifest and latent physics: The case of atomic scale structural, chemical, and polarization beh... Exotic Long-Range Surface Reconstruction on La 0.7 Sr 0.3 MnO 3 Thin Films... Computational scanning tunneling microscope image database... Enhancing hyperspectral EELS analysis of complex plasmonic nanostructures with pan-sharpening... Off-the-shelf deep learning is not enough, and requires parsimony, Bayesianity, and causality... Toward Decoding the Relationship between Domain Structure and Functionality in Ferroelectrics via Hidden Latent Variables... Reconstruction and uncertainty quantification of lattice Hamiltonian model parameters from observations of microscopic degree... Deep learning of interface structures from simulated 4D STEM data: cation intermixing vs. roughening... Exploring physics of ferroelectric domain walls via Bayesian analysis of atomically resolved STEM data... Exploration of lattice Hamiltonians for functional and structural discovery via Gaussian process-based exploration–exploita... Causal analysis of competing atomistic mechanisms in ferroelectric materials from high-resolution scanning transmission elect... Fast Scanning Probe Microscopy via Machine Learning: Non‐Rectangular Scans with Compressed Sensing and Gaussian Process Opt... Bayesian inference in band excitation scanning probe microscopy for optimal dynamic model selection in imaging... Super-resolution and signal separation in contact Kelvin probe force microscopy of electrochemically active ferroelectric mat... Dynamic Manipulation in Piezoresponse Force Microscopy: Creating Nonequilibrium Phases with Large Electromechanical Response... Optimizing Individualized Treatment Planning for Parkinson’s Disease Using Deep Reinforcement Learning... Tensor factorization for elucidating mechanisms of piezoresponse relaxation via dynamic Piezoresponse Force Spectroscopy... Exploration of Electrochemical Reactions at Organic–Inorganic Halide Perovskite Interfaces via Machine Learning in In Situ ... Guided search for desired functional responses via Bayesian optimization of generative model: Hysteresis loop shape engineeri... Pagination First page « First Previous page ‹‹ … Page 2 Current page 3 Page 4 … Next page ›› Last page Last » Key Links Curriculum Vitae Google Scholar ORCID LinkedIn Organizations Physical Sciences Directorate User Facilities Center for Nanophase Materials Sciences Theory & Computation Section Data NanoAnalytics Group