Work

Machine learning in metal-ion battery research: Advancing material prediction, characterization, and status evaluation

Year: 2023

Type: article

Source: Journal of Energy Chemistry

DOI: 10.1016/j.jechem.2023.10.049

Authors: Tong Yu, Chunyang Wang, Huicong Yang, Feng Li

Institutions: Chinese Academy of Sciences, Institute of Metal Research, Shenyang National Laboratory for Materials Science, University of California, Irvine, University of Science and Technology of China

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funders: National Natural Science Foundation of China, Chinese Academy of Sciences, China Postdoctoral Science Foundation, Bulgarian National Science Fund, National Postdoctoral Program for Innovative Talents, National Key Research and Development Program of China

Awards: G4220784992, G4479279752, G6460860224, G7600933927, G8179930224, G8858892219, G8953430074, G8970153324

OpenAlex ID: W4388948190

FWCI: 3.442

Cites: 120

Cited by: 49

Related to: 10