Work

Chemical reaction neural networks to map lithium-ion battery thermal runaway gas generation

Year: 2025

Type: article

Abstract: Publisher of over 50 scientific journals across the life, physical, earth, and health sciences, both independently and in partnership with scientific societies including Cell, Neuron, Immunity, Current Biology, AJHG, and the Trends Journals.

Source: Cell Reports Physical Science

DOI: 10.1016/j.xcrp.2025.102563

Authors: Jiabo Zhang, Changsheng Ma, Shuaiqi Liu, Qianzhen Guo, Shaoyan Liu, Peng Han, Zhen Huang, Dong Han

Institutions: Shanghai Jiao Tong University, Lanzhou University, University of Electronic Science and Technology of China

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $5,620

Funders: National Natural Science Foundation of China, Science and Technology Commission of Shanghai Municipality

Awards: G4420196374, G6233517245

OpenAlex ID: W4409921975

FWCI: 1.483

Cites: 39

Cited by: 6

Related to: 10