Work

An interpretable machine learning model for Mn-based cathode development: mapping synthesis parameters to cycling stability

Year: 2025

Type: article

Source: Journal of Materials Chemistry A

DOI: 10.1039/d5ta04758g

Authors: Cheng Wei, Zijin Cui, Haokun Li, Jingyuan Guo, Linzhuang Xing, Yihang Li, Hongyu Yang, Zhimin Li, Yue Hao

Institution: Xidian 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: National Natural Science Foundation of China, Xidian University, Fundamental Research Funds for the Central Universities, Key Research and Development Projects of Shaanxi Province

Awards: G7712651294, G7997141572, G8355279865, G8631273111

OpenAlex ID: W4412883583

FWCI: 1.247

Cites: 83

Cited by: 6

Related to: 10