Ziye Wang

Na4MnV(PO4)3 nanocrystals embedded in mesoporous nitrogen-doped carbon nanofibers as advanced cathode materials for sodium-ion batteries

The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance

The importance of bond covalency for the activation of multielectron reactions in phosphate cathodes for sodium-ion batteries

ARG-SHINE: improve antibiotic resistance class prediction by integrating sequence homology, functional information and deep convolutional neural network