Rama K Vasudevan Group Leader, Data NanoAnalytics Group at the CNMS Contact 865.341.3091 | vasudevanrk@ornl.gov All Publications 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 Optimizing Patient-Specific Medication Regimen Policies Using Wearable Sensors in Parkinson’s Disease Adaptive sampling for accelerating neutron diffraction-based strain mapping* Autonomous scanning probe microscopy with hypothesis learning: Exploring the physics of domain switching in ferroelectric materials Exploring the Relationship of Microstructure and Conductivity in Metal Halide Perovskites via Active Learning-Driven Automated Scanning Probe Microscopy Real-time insight into the multistage mechanism of nanoparticle exsolution from a perovskite host surface 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
