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Transfer Learning‐Based Regression With Interpretable Feature Attribution Predicts Perovskite Morphology for High‐Performance LEDs

Year: 2026

Type: article

Source: Advanced Optical Materials

DOI: 10.1002/adom.71664

Authors: Tong Zhang, Xuan Xiao, Ling Zhu, Ling Zhu, Shi Hu, Mengmeng Li, Chenjie Hao, Dingding Tian, Xiangru Tao, Lin Zhu, Lin Zhu, Bo Jiang, Jianpu Wang

Institutions: Nanjing Tech University, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Nanjing University of Posts and Telecommunications, Nantong University

Language: English

Topic: Machine Learning in Materials Science

Subfield: Materials Chemistry

Field: Materials Science

Domain: Physical Sciences

Open Access status: closed

Funders: National Natural Science Foundation of China, Ministry of Education of the People's Republic of China

Awards: G2353582209, G2936716342, G4427689507, G7357165458, G7438383121, G8247362580

OpenAlex ID: W7203652191

FWCI:

Cites: 15

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