Ayana Ghosh R&D Staff Scientist Contact GHOSHA@ORNL.GOV All Publications A Roadmap for Edge Computing Enabled Automated Multidimensional Transmission Electron Microscopy Probing Electron Beam Induced Transformations on a Single-Defect Level via Automated Scanning Transmission Electron Microscopy Insights into Cation Ordering of Double Perovskite Oxides from Machine Learning and Causal Relations First-Principles Study of Ferroelectric and Optical Properties in Derivatives of Thiourea Atomic-scale Fabrication of 1D-2D Nano Hetero-structures within 2D Materials through Automated Tracking and Electron Beam Control Building Atomic and Plasmonic Devices via Electron Beams: from Desired Structures to Desired Properties Bridging microscopy with molecular dynamics and quantum simulations: an atomAI based pipeline Physics makes the difference: Bayesian optimization and active learning via augmented Gaussian process Exploring electron beam induced atomic assembly via reinforcement learning in a molecular dynamics environment Deep learning ferroelectric polarization distributions from STEM data via with and without atom finding... Ensemble learning-iterative training machine learning for uncertainty quantification and automated experiment in atom-resolved microscopy Automated and Autonomous Experiments in Electron and Scanning Probe Microscopy Pagination First page « First Previous page ‹‹ Page 1 Current page 2 Key Links Curriculum Vitae Google Scholar ORCID LinkedIn Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Advanced Computing Methods for Physical Sciences Section Computational Chemistry and Nanomaterials Sciences Group
