Work

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

Year: 2026

Type: article

Source: Journal of the American Chemical Society

DOI: 10.1021/jacs.6c03234

Authors: Kong Meng, Haoran Lu, Xuesong Tian, Zihang Liu, Wei-Hai Fang, Oleg V. Prezhdo, Run Long

Institutions: Beijing Normal University, University of New Mexico

Language: English

Topic: Advanced Battery Materials and Technologies

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funders: National Science Foundation, National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

Awards: G1228334467, Theory and Simulation of Non-adiabatic Excited State Dynamics in Nanoscale systems, G6657471915, G6687886372

OpenAlex ID: W7141759965

FWCI: 10.59

Cites: 66

Cited by: 6

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