Y. Wang

Application-oriented design of machine learning paradigms for battery science

npj Computational Materials, 2025, 11(1): 89.

R Gao, Y Song, Q Ye, Q Shen, J Wang, M Ruan, B Wang, Y Wang*

Double-Cross-Linked and Stretchable Ionogels with Tunable Mechanics and Ionic Conductivity for Thermal and Mechanical Sensors

ACS Applied Materials & Interfaces, 2025

Y Song, J Ju, J Wang, K Li, X Wang, R Gao, H Lu, D Chao, Y Wang*

Multi-Objective Optimization of Ionic Polymer Electrolytes for High-Voltage Fast-Charging and Versatile Lithium Batteries

Advanced Materials, 2025, 2500941

Chen S, Wu G, Jiang H, et al(J. Wang and Y Wang included as Fourth coauthor)

External Li supply reshapes Li deficiency and lifetime limit of batteries

Nature, 2025

Cheng X, Lu C, Gong X, et al(J. Wang and Y Wang included as Fifth coauthor)

Quasi-solid Fiber-shaped Lithium-ion Batteries with Fire Resistance

Angewandte Chemie, 2025

K. Li, J. Wang, Y. Wang*

Interfacial Design Strategy for Polymeric Lithium Metal Batteries with Superfast Charge-Transfer Kinetics

Advanced Energy Materials, 2024, 2400956

J. Wang, Y. Wang*

Strategies to Improve the Quantum Computation Accuracy for Electrochemical Windows of Ionic Liquids

J. Phys. Chem. B, 2024

K. Li, J. Wang, Y. Song, Y. Wang*

Machine learning-guided discovery of ionic polymer electrolytes for lithium metal batteries

Nature Communications, 2023, 14, 2789