Rama K Vasudevan Group Leader, Data NanoAnalytics Group at the CNMS Contact VASUDEVANRK@ORNL.GOV All Publications Gaussian process analysis of electron energy loss spectroscopy data: multivariate reconstruction and kernel control 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 Anisotropic epitaxial stabilization of a low-symmetry ferroelectric with enhanced electromechanical response Causal Analysis of Parameterized Atomic HAADF-STEM Across a Doped Ferroelectric Phase Boundary 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 Beyond NMF: Advanced Signal Processing and Machine Learning Methodologies for Hyperspectral Analysis in EELS Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferroelectrics Exploring Transport Behavior in Hybrid Perovskites Solar Cells via Machine Learning Analysis of Environmental-Dependent Imped... Bayesian Learning of Adatom Interactions from Atomically Resolved Imaging Data 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 Propagation of priors for more accurate and efficient spectroscopic functional fits and their application to ferroelectric hysteresis Strain-driven autonomous control of cation distribution for artificial ferroelectrics Separating Physically Distinct Mechanisms in Complex Infrared Plasmonic Nanostructures via Machine Learning Enhanced Electron Energy Loss Spectroscopy 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 2D MoS 2 -ReS 2 Predictability as a probe of manifest and latent physics: The case of atomic scale structural, chemical, and polarization behaviors in multiferroic Sm-doped BiFeO3 Exotic Long-Range Surface Reconstruction on La 0.7 Sr 0.3 MnO 3 Thin Films Computational scanning tunneling microscope image database... Toward Decoding the Relationship between Domain Structure and Functionality in Ferroelectrics via Hidden Latent Variables 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 Deep learning of interface structures from simulated 4D STEM data: cation intermixing vs. roughening Pagination First page « First Previous page ‹â¶Ä¹ … Page 2 Current page 3 Page 4 … Next page ›â¶Äº Last page Last » Key Links Curriculum Vitae Organizations Physical Sciences Directorate User Facilities Center for Nanophase Materials Sciences Theory and Computation Section Data NanoAnalytics Group
