Rama K Vasudevan Group Leader, Data NanoAnalytics Group at the CNMS Contact VASUDEVANRK@ORNL.GOV All Publications Non-perturbative cathodoluminescence microscopy of beam-sensitive materials Deep Learning with Reflection High-Energy Electron Diffraction Images to Predict Cation Ratio in Sr2xTi2(1–x)O3 Thin Films Online Bayesian State Estimation for Real-Time Monitoring of Growth Kinetics in Thin Film Synthesis Active oversight and quality control in standard Bayesian optimization for autonomous experiments... On-demand nanoengineering of in-plane ferroelectric topologies On-demand nanoengineering of in-plane ferroelectric topologies Bayesian Conavigation: Dynamic Designing of the Material Digital Twins via Active Learning Optical and electronic functionality arising from controlled defect formation in nanoscale complex oxide lateral epitaxy... Oak Ridge National Laboratory's Strategic Research and Development Insights for Digital Twins Synergizing human expertise and AI efficiency with language model for microscopy operation and automated experiment design Deep learning with plasma plume image sequences for anomaly detection and prediction of growth kinetics during pulsed laser deposition AEcroscopy: A Software–Hardware Framework Empowering Microscopy Toward Automated and Autonomous Experimentation Autonomous Synthesis of Thin Film Materials with Pulsed Laser Deposition Enabled by In Situ Spectroscopy and Automation Autonomous convergence of STM control parameters using Bayesian optimization... Designing workflows for materials characterization Selected Area Manipulation of MoS2 via Focused Electron Beam-Induced Etching for Nanoscale Device Editing... Physics-informed models of domain wall dynamics as a route for autonomous domain wall design via reinforcement learning A dynamic Bayesian optimized active recommender system for curiosity-driven partially Human-in-the-loop automated experiments Digital twins and deep learning segmentation of defects in monolayer MX2 phases... A Processing and Analytics System for Microscopy Data Workflows: The Pycroscopy Ecosystem of Packages High-speed mapping of surface charge dynamics using sparse scanning Kelvin probe force microscopy Explainability and human intervention in autonomous scanning probe microscopy A Multi-Objective Bayesian Optimized Human Assessed Multi-Target Generated Spectral Recommender System for Rapid Pareto Discoveries of Material Properties Automated piezoresponse force microscopy domain tracking during fast thermally stimulated phase transition in CuInP2S6 Probe microscopy is all you need Pagination Current page 1 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 and Computation Section Data NanoAnalytics Group
Research Highlight Deep Learning with in situ Diagnostics Reveals Non-trivial Correlations to Film Growth
