#Battery Science
Journal article published in Appl. Phys. Lett.
Our journal article on “High-fidelity reconstruction of porous cathode microstructures from FIB-SEM data with deep learning“ has been published on Applied Physics Letters. We utilize fused secondary and backscattered electron images to reconstruct 3D microstructures of porous cathodes with high fidelity.
Journal article published in Chin. Phys. Lett.
Our journal article on “Compression of Battery X-Ray Tomography Data with Machine Learning“ has been published on Chinese Physics Letters. With physics-informed representation learning, we introduce a data compression method tailored for battery X-ray tomography.
ECS grant got approved!
We have received the Early Career Scheme (ECS) grant from Research Grants Council (RGC) of Hong Kong. The project is about developing computational X-ray microscopy for advanced battery characterization.