Artificial-intelligence-guided design of ordered gas diffusion layers for high-performing fuel cells via Bayesian machine learning

J Jing Sun P Pengzhu Lin (Department of Mechanical and Aerospace Engineering) L Lin Zeng (Shenzhen Key Laboratory of Advanced Energy Storage, Department of Mechanical and Energy Engineering) Z Zixiao Guo (Department of Mechanical and Aerospace Engineering) Y Yuting Jiang C Cailin Xiao Q Qinping Jian J Jiayou Ren (Department of Mechanical and Aerospace Engineering) L Lyuming Pan X Xiaosa Xu (Department of Mechanical and Aerospace Engineering) Z Zheng Li L Lei Wei (School of Physical Science and Technology, Shanghai Key Laboratory of High-Resolution Electron Microscopy, State Key Laboratory of Advanced Medical Materials and Devices) T Tianshou Zhao (Department of Mechanical and Aerospace Engineering)

Article Details

Volume / Issue Vol. 16, Issue 1
Published July 15, 2025
ISSN 2041-1723
Publisher Nature Portfolio

Journal Info

Nature Communications

Nature Portfolio

ISSN: 2041-1723 Open Access Life Sciences

Authors (13)

J

Jing Sun

P

Pengzhu Lin

Department of Mechanical and Aerospace Engineering

L

Lin Zeng

Shenzhen Key Laboratory of Advanced Energy Storage, Department of Mechanical and Energy Engineering

Z

Zixiao Guo

Department of Mechanical and Aerospace Engineering

Y

Yuting Jiang

C

Cailin Xiao

Q

Qinping Jian

J

Jiayou Ren

Department of Mechanical and Aerospace Engineering

L

Lyuming Pan

X

Xiaosa Xu

Department of Mechanical and Aerospace Engineering

Z

Zheng Li

L

Lei Wei

School of Physical Science and Technology, Shanghai Key Laboratory of High-Resolution Electron Microscopy, State Key Laboratory of Advanced Medical Materials and Devices

T

Tianshou Zhao

Department of Mechanical and Aerospace Engineering