Rama K Vasudevan Group Leader, Data NanoAnalytics Group at the CNMS Contact vasudevanrk@ornl.gov | 865.574.1034 All Publications Experimental discovery of structure–property relationships in ferroelectric materials via active learning... Latent Mechanisms of Polarization Switching from In Situ Electron Microscopy Observations Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing Towards automating structural discovery in scanning transmission electron microscopy* Building an Integrated Ecosystem of Computational and Observational Facilities to Accelerate Scientific Discovery... Exploring electron beam induced atomic assembly via reinforcement learning in a molecular dynamics environment... Deep Bayesian local crystallography... Perspectives in Scanning Probe Microscopy from the 2021 Joint International Scanning Probe Microscopy and Scanning Probe Micr... Sub-10 nm Probing of Ferroelectricity in Heterogeneous Materials by Machine Learning Enabled Contact Kelvin Probe Force Micro... Oxygen Vacancy Injection as a Pathway to Enhancing Electromechanical Response in Ferroelectrics... Decoding the shift-invariant data: applications for band-excitation scanning probe microscopy... Anisotropic epitaxial stabilization of a low-symmetry ferroelectric with enhanced electromechanical response... 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 ... Probing Metastable Domain Dynamics via Automated Experimentation in Piezoresponse Force Microscopy... Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferr... 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 Ferroelectr... Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy... Beyond NMF: Advanced Signal Processing and Machine Learning Methodologies for Hyperspectral Analysis in EELS... 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... Strain-driven autonomous control of cation distribution for artificial ferroelectrics... Pagination First page « First Previous page ‹‹ Page 1 Current page 2 Page 3 … 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
