Shijian Wang

Weakening conjugation of organic cyclic additives towards advanced aqueous zinc-ion batteries

Aqueous zinc-ion batteries (AZIBs) offer a safe and economical option for energy storage but face zinc dendrites and parasitic reactions. Here we report 1,3,5-tris(2-hydroxyethyl) isocyanurate (THI) as an electrolyte additive that delivers environment-dependent dual-state protect...

Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network

Fundamental battery research is constrained by the time‐consuming process of long‐term charge–discharge cycling stability testing. Here, we introduce DeepBat, a deep learning framework designed to shorten cycling tests by achieving accurate, long‐horizon prediction of cycle‐level...