4 papers
Insights into dendritic growth mechanisms in batteries: A combined machine learning and computational study
Zirui Zhao, Junchao Xia, Si Wu +5
In recent years, researchers have increasingly sought batteries as an efficient and cost-effective solution for energy storage and supply, owing to their high energy density, low c…
Deep learning-driven evaluation and prediction of ion-doped NASICON materials for enhanced solid-state battery performance
Zirui Zhao, Xiaoke Wang, Si Wu +5
We developed a convolutional neural network (CNN) model capable of predicting the performance of various ion-doped NASICON compounds by leveraging extensive datasets from prior exp…
Zincophilic armor: Phytate ammonium as a multifunctional additive for enhanced performance in aqueous zinc-ion batteries
Fangyuan Xiao, Xiaoke Wang, Kaitong Sun +3
Corrosion and the formation of by-products resulting from parasitic side reactions, as well as random dendrite growth, pose significant challenges for aqueous zinc-ion batteries (A…
High-performance magnesium/sodium hybrid ion battery based on sodium vanadate oxide for reversible storage of Na+ and Mg2+
Xiaoke Wang, Titi Li, Xixi Zhang +5
Magnesium ion batteries (MIBs) are a potential field for the energy storage of the future but are restricted by insufficient rate capability and rapid capacity degradation. Magnesi…