Rama K Vasudevan Group Leader, Data NanoAnalytics Group at the CNMS Contact VASUDEVANRK@ORNL.GOV All Publications Adaptive sampling for accelerating neutron diffraction-based strain mapping* Optimizing Patient-Specific Medication Regimen Policies Using Wearable Sensors in Parkinson’s Disease Real-time insight into the multistage mechanism of nanoparticle exsolution from a perovskite host surface Learning the right channel in multimodal imaging: automated experiment in piezoresponse force microscopy 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 Optimizing training trajectories in variational autoencoders via latent Bayesian optimization approach Deep learning for exploring ultra-thin ferroelectrics with highly improved sensitivity of piezoresponse force microscopy Discovering mechanisms for materials microstructure optimization via reinforcement learning of a generative model Machine Intelligence-Centered System for Automated Characterization of Functional Materials and Interfaces Autonomous Continuous Flow Reactor Synthesis for Scalable Atom-Precision A Roadmap for Edge Computing Enabled Automated Multidimensional Transmission Electron Microscopy Bayesian optimization in continuous spaces via virtual process embeddings Automated Experiments of Local Non-Linear Behavior in Ferroelectric Materials High Velocity, Low-Voltage Collective In-Plane Switching in (100) BaTiO3 Thin Films... 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 Microscopy on Soft and Polymeric Materials Conference Deep Bayesian local crystallography... Pagination First page « First Previous page ‹â¶Ä¹ Page 1 Current page 2 Page 3 … Next page ›â¶Äº Last page Last » Key Links Curriculum Vitae 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
