Chemistry | Engineering | Materials Science Deep-Learning Aided Atomic-Scale Phase Segmentation toward Diagnosing Complex Oxide Cathodes for Lithium-Ion Batteries. August 29, 2023
Electron Microscopy | Material Science | Synchrotron Science MnEdgeNet for accurate decomposition of mixed oxidation states for Mn XAS and EELS L2,3 edges without reference and calibration. August 29, 2023
Energy Storage | Materials Science Resolving complex intralayer transition motifs in high-Ni-content layered cathode materials for lithium-ion batteries. January 26, 2023
Chemistry | Materials Science Electron energy loss spectroscopy database synthesis and automation of core-loss edge recognition by deep-learning neural networks. December 23, 2022
Other TEMImageNet training library and AtomSegNet deep-learning models for high-precision atom segmentation, localization, denoising, and deblurring of atomic-resolution images. March 9, 2021
Radiology A joint deep learning model to recover information and reduce artifacts in missing-wedge sinograms for electron tomography and beyond. September 6, 2019