1
Return

Efficient battery electrolyte design for electric aircraft driven by physics-augmented AI

delete2026-07-31
delete0
PRE
AI
B
Baozhao Yi
X
Xiao-Ying Ma
X
Xiao-Guang Yang *
Z
Ziyou Song *
DOI：10.1016/j.joule.2026.102601delete
deleteOriginal
deleteOriginal request for help
deleteShare
deleteSave
Abstract

Abstract

En 中文
• Knowledge-aware few-shot learning predicts electrolyte properties using limited data • Physics-augmented AI achieves efficient and interpretable electrolyte design • Multi-property synergy enables accurate electrolyte design for eVTOL applications

Journal

Joule cover
Joule
IF:
35.4
Papers:
2.3K
Citations:
4.5W

Organization

B
beijing institute of technology
Scholars:
5.3W
Papers: 3.9W
Citations: 63
N
National University of Singapore
Scholars:
7.4W
Papers: 6.4W
Citations: 11.4W
Cited Papers

Cited Papers

Citing Papers

Citing Papers