Rama K Vasudevan Group Leader, Data NanoAnalytics Group at the CNMS Contact vasudevanrk@ornl.gov | 865.574.1034 All Publications Building Atomic and Plasmonic Devices via Electron Beams: from Desired Structures to Desired Properties Adapting Reinforcement Learning Treatment Policies Using Limited Data to Personalize Critical Care Experimental discovery of structure–property relationships in ferroelectric materials via active learning... Smoky Mountain Data Challenge 2021: An Open Call to Solve Scientific Data Challenges Using Advanced Data Analytics and Edge Computing Latent Mechanisms of Polarization Switching from In Situ Electron Microscopy Observations 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... Perspectives in Scanning Probe Microscopy from the 2021 Joint International Scanning Probe Microscopy and Scanning Probe Micr... Deep Bayesian local crystallography... 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... 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... 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 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... Autonomous Experiments in Scanning Probe Microscopy and Spectroscopy: Choosing Where to Explore Polarization Dynamics in Ferr... 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... 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