Photoelectrocatalytic Chemical Pathways in Photoassisted Lithium–Sulfur Batteries via a Multiscale Graph-Based Machine Learning Framework

K Kong Meng (College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education) H Haoran Lu (College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education) X Xuesong Tian (College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education) Z Zihang Liu (School of Life Science and Engineering) W Wei-Hai Fang O Oleg V. Prezhdo (Department of Chemistry and Chemical Biology) R Run Long

Article Details

Volume / Issue Vol. 148, Issue 13
Published April 08, 2026
Pages 14624-14633
ISSN 0002-7863
Publisher American Chemical Society

Journal Info

Journal of the American Chemical Society

American Chemical Society

ISSN: 0002-7863 Physical Sciences

Authors (7)

K

Kong Meng

College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education

H

Haoran Lu

College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education

X

Xuesong Tian

College of Chemistry, Key Laboratory of Theoretical & Computational Photochemistry of Ministry of Education

Z

Zihang Liu

School of Life Science and Engineering

W

Wei-Hai Fang

O

Oleg V. Prezhdo

Department of Chemistry and Chemical Biology

R

Run Long