5 papers · 1 filter
Design principles for amorphous solid-state electrolytes
Qifan Yang, Xiao Fu, Xuhe Gong +5
Amorphous solid-state electrolytes (SSEs) offer unique advantages for next-generation batteries, but their rational design is hindered by an unclear structure-property relationship…
Accelerating Amorphous Alloy Discovery: Data-Driven Property Prediction via General-Purpose Machine Learning Interatomic Potential
Xuhe Gong, Hengbo Zhao, Xiao Fu +6
While traditional trial-and-error methods for designing amorphous alloys are costly and inefficient, machine learning approaches based solely on composition lack critical atomic st…
High-Entropy Solid Electrolytes Discovery: A Dual-Stage Machine Learning Framework Bridging Atomic Configurations and Ionic Transport Properties
Xiao Fu, Jing Xu, Qifan Yang +6
The rapid development of computational materials science powered by machine learning (ML) is gradually leading to solutions to several previously intractable scientific problems. O…
LiMnS and LiSiS as a pair of all-electrochem-active electrode and solid-state electrolyte with chemical compatibility and low interface resistance
Qifan Yang, Jing Xu, Xiao Fu +6
In solid-state batteries (SSBs), improving the physical contact at the electrode-electrolyte interface is essential for achieving better performance and durability. On the one hand…
Isolated anions induced high ionic conductivity
Qifan Yang, Jing Xu, Yuqi Wang +3
One of the key materials in solid-state lithium batteries is fast ion conductors. However, the Li+ ion transport in inorganic crystals involves complex factors, making it a mystery…