Work

Machine Learning-Guided Discovery of High-Performance Perovskite Solar Cells via Cluster Analysis and Experimental Validation

Year: 2026

Type: article

Source: ACS Applied Materials & Interfaces

DOI: 10.1021/acsami.5c25501

Authors: Wajeeha Rahman, Chengquan Zhong, Jingzi Zhang, Xu Zhu, Shahid Ullah, Riffat Jehan, Jiakai Liu, Kailong Hu, Xi Lin

Institutions: Harbin Institute of Technology, Jimei University, Chinese Academy of Sciences, Xinjiang Technical Institute of Physics & Chemistry, University of Chinese Academy of Sciences

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: Science and Technology Foundation of Shenzhen City, China Postdoctoral Science Foundation, Jimei University, Basic and Applied Basic Research Foundation of Guangdong Province

Awards: G1213879664, G1414985766, G5396212816, G6452413286

OpenAlex ID: W7143964060

FWCI: 1.447

Cites: 39

Cited by: 1

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