Rama K Vasudevan Group Leader, Data NanoAnalytics Group at the CNMS Contact VASUDEVANRK@ORNL.GOV All Publications Polarization-dependent local conductivity and activation energy in KTiOPO4 Polarization-dependent Local Conductivity and Activation Energy In Ktiopo4 Polarization-dependent local conductivity and activation energy in KTiOPO4 Polarization-dependent Local Conductivity and Activation Energy In Ktiopo4 Polarization-dependent Local Conductivity and Activation Energy In Ktiopo4 Polarization-dependent local conductivity and activation energy in KTiOPO4 Polarization-dependent local conductivity and activation energy in KTiOPO4... Polarization-dependent local conductivity and activation energy in KTiOPO4... Polarization-dependent Local Conductivity and Activation Energy In Ktiopo4 Polarization-dependent local conductivity and activation energy in KTiOPO4 Polarization-dependent local conductivity and activation energy in KTiOPO4 Polarization-dependent local conductivity and activation energy in KTiOPO4 Polarization-dependent local conductivity and activation energy in KTiOPO4 Application of pan-sharpening algorithm for correlative multimodal imaging using AFM-IR Deep learning analysis of defect and phase evolution during electron beam-induced transformations in WS2 Learning from Imperfections: Predicting Structure and Thermodynamics from Atomic Imaging of Fluctuations Decoupling Mesoscale Functional Response in PLZT across the Ferroelectric–Relaxor Phase Transition with Contact Kelvin Probe Force Microscopy and Machine Learning Surface reconstructions and modified surface states in La1−xCaxMnO3 Electronic switching by metastable polarization states in BiFeO3 thin films Surface Chemistry Controls Anomalous Ferroelectric Behavior in Lithium Niobate Machine Detection of Enhanced Electromechanical Energy Conversion in PbZr0.2Ti0.8O3 Thin Films Deep data analysis via physically constrained linear unmixing: universal framework, domain examples, and a community-wide platform Data mining for better material synthesis: The case of pulsed laser deposition of complex oxides Machine learning–enabled identification of material phase transitions based on experimental data: Exploring collective dynamics in ferroelectric relaxors Knowledge Extraction from Atomically Resolved Images Pagination First page « First Previous page ‹â¶Ä¹ … Page 4 Current page 5 Page 6 … 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
