Work

High-throughput screening of Ni-rich layered cathode materials for sodium-ion batteries based on machine learning

Year: 2025

Type: article

Source: Journal of Alloys and Compounds

DOI: 10.1016/j.jallcom.2025.180282

Authors: Tian-E Fan, Hao-Ran Lei, Kai Wang, Baihua Qu

Institutions: Chongqing University of Posts and Telecommunications, Chongqing University

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: Natural Science Foundation of Chongqing, Chongqing Municipal Education Commission

Awards: G2726073516, G5177106643

OpenAlex ID: W4409348907

FWCI: 1.865

Cites: 52

Cited by: 9

Related to: 10