Rama K Vasudevan Group Leader, Data NanoAnalytics Group at the CNMS Contact VASUDEVANRK@ORNL.GOV All Publications Machine learning–enabled identification of material phase transitions based on experimental data: Exploring collective dynamics in ferroelectric relaxors 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 Deep learning of atomically resolved scanning transmission electron microscopy images: chemical identification and tracking local transformations Effect of surface ionic screening on the polarization reversal scenario in ferroelectric thin films: Crossover from ferroionic to antiferroionic states Field enhancement of electronic conductance at ferroelectric domain walls Three-State Ferroelastic Switching and Large Electromechanical Responses in PbTiO 3 Thin Films A Framework to Learn Physics from Atomically Resolved Images Nanoscale Probing of Elastic–Electronic Response to Vacancy Motion in NiO Nanocrystals Ferroelectric or non-ferroelectric: Why so many materials exhibit “ferroelectricity” on the nanoscale Mixed electrochemical–ferroelectric states in nanoscale ferroelectrics Direct imaging of the relaxation of individual ferroelectric interfaces in a tensile-strained film... Localised nanoscale resistive switching in GaP thin films with low power consumption Mixed electrochemical–ferroelectric states in nanoscale ferroelectrics Analysis of citation networks as a new tool for scientific research... Contradictory nature of Co doping in ferroelectric BaTiO3 Single domain multiferroic BiFeO3 films... Big, deep, and smart data in scanning probe microscopy Phases and interfaces from real space atomically resolved data: physics based deep data image analysis... Full information acquisition and analysis of reflection high energy electron diffraction data for epitaxial growth processes Phase determination from atomically resolved images: physics-constrained deep data analysis through an unmixing approach Correlation between Piezoresponse Nonlinearity and Hysteresis in Ferroelectric Crystals at Nanoscale... Growth Mode Transition in Complex Oxide Heteroepitaxy: Atomically Resolved Studies... Solid-state electrochemistry on the nanometer and atomic scales: the scanning probe microscopy approach Pagination First page « First Previous page ‹Ĺ … Page 5 Current page 6 Page 7 … Next page ›ĺ 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
