Machine learning-assisted kinetic matching model for rational electrode design in aqueous zinc-ion batteries

Q Qian Xie (Shenzhen Grubbs Institute, Department of Chemistry, and Guangming Advanced Research Institute) Y Yurong You (Jiangsu Key Laboratory of Advanced Metallic Materials, School of Materials Science and Engineering) D Dingshuo Qiao H Huan Xia H Hanning Zhang S Song-Zhu Kure-Chu T Tomasz Wejrzanowski T Tao Shui W Wei Zhang Z ZhengMing Sun (Jiangsu Key Laboratory of Advanced Metallic Materials, School of Materials Science and Engineering)

Article Details

Volume / Issue Vol. 17, Issue 1
Published December 25, 2025
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (10)

Q

Qian Xie

Shenzhen Grubbs Institute, Department of Chemistry, and Guangming Advanced Research Institute

Y

Yurong You

Jiangsu Key Laboratory of Advanced Metallic Materials, School of Materials Science and Engineering

D

Dingshuo Qiao

H

Huan Xia

H

Hanning Zhang

S

Song-Zhu Kure-Chu

T

Tomasz Wejrzanowski

T

Tao Shui

W

Wei Zhang

Z

ZhengMing Sun

Jiangsu Key Laboratory of Advanced Metallic Materials, School of Materials Science and Engineering