Work

Machine learning in advancing anode materials for Lithium-Ion batteries – A review

Year: 2024

Type: review

Source: Inorganic Chemistry Communications

DOI: 10.1016/j.inoche.2024.113577

Authors: Md. Aminul Islam, Zahid Ahsan, Mustafizur Rahman, Md. Abdullah, Masud Rana, Nayem Hossain, Mohammad Assaduzzaman Chowdhury

Institutions: International University of Business Agriculture and Technology, World University of Bangladesh, City University, Dhaka University of Engineering & Technology

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

OpenAlex ID: W4404512483

FWCI: 0.33

Cites: 196

Cited by: 17

Related to: 10