Work

High-Throughput Screening of 6858 Compounds for Zinc-Ion Battery Cathodes via Hybrid Machine Learning Optimization

Year: 2025

Type: article

Source: ACS Applied Materials & Interfaces

DOI: 10.1021/acsami.4c18556

Authors: Yakubu Sani Wudil, Mohammed A. Gondal, Mohammed A. Al-Osta

Institution: King Fahd University of Petroleum and Minerals

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

Funder: King Fahd University of Petroleum and Minerals

Award: G4315357447

OpenAlex ID: W4407122751

FWCI: 4.755

Cites: 63

Cited by: 23

Related to: 10