Debangshu Mukherjee R&D Associate Scientist Contact 865.341.1680 | MUKHERJEED@ORNL.GOV All Publications Operando imaging reveals nanocatalyst reconstruction Design-to-Deployment Continuum Platform for Microscopes and Computing Ecosystems... Deep learning-driven super-resolution in Raman hyperspectral imaging: Efficient high-resolution reconstruction from low-resolution data Integrating High-Performance Computing with Electron Microscopy for Scientific Insights Visualizing the Amorphous to Crystalline Transition of Bismuth Selenide in the TEM Machine learning for automated experimentation in scanning transmission electron microscopy... Focused Interest Groups Propel Innovation in the Emerging Data-Driven Hardware Ecosystem Cyber Framework for Steering and Measurements Collection Over Instrument-Computing Ecosystems... Virtual Infrastructure Twins: Software Testing Platforms for Computing-Instrument Ecosystems Deep Learning on Multimodal Chemical and Whole Slide Imaging Data for Predicting Prostate Cancer Directly from Tissue Images Virtual Infrastructure Twins: Software Testing Platforms for Computing-Instrument Ecosystems Image Gradient Decomposition for Parallel and Memory-Efficient Ptychographic Reconstruction... A Roadmap for Edge Computing Enabled Automated Multidimensional Transmission Electron Microscopy Enabling Autonomous Electron Microscopy for Networked Computation and Steering Double-Bilayer polar nanoregions and Mn antisites in (Ca, Sr)3Mn2O7 Lossless Image Compression for 4D-STEM Datasets Seamless Communication Between High-Performance Computing System and Electron Microscopes for On-Demand Automated Data Transfer and Remote Control Efficient Memory Storage and Linear Parallel Scaling for Large-Scale Electron Ptychography Predicting Prostate Cancer Directly from Tissue Images using Deep Learning on Mass Spectrometry Imaging and Whole Slide Imaging Data Building an edge computing infrastructure for rapid multi-dimensional electron microscopy... Quantifying the projected unit cell size variation of off-axis PtCo catalyst nanoparticles through 4D-STEM... Picometer-precision atomic position tracking through electron microscopy Automated methods for improved characterization of alloy nanoparticle catalysts... Effective reduction of PdCoO2 thin films via hydrogenation and sign tunable anomalous Hall effect Applying Configurational Complexity to the 2D Ruddlesden–Popper Crystal Structure Pagination Current page 1 Page 2 Next page ›â¶Äº Last page Last » Key Links Curriculum Vitae Organizations Computing and Computational Sciences Directorate Computational Sciences and Engineering Division Advanced Computing Methods for Physical Sciences Section Computational Chemistry and Nanomaterials Sciences Group
Research Highlight Co-existence of polar and non-polar phases in ferroelectrics demonstrated for the first time in Ruddlesden-Popper systems
