Laser & Optoelectronics Progress, Volume. 62, Issue 9, 0916003(2025)

Machine Learning-Assisted Optimization of Process Parameters for Perovskite Solar Cell Fabrication

Yin Gao, Yang Li*, Chuanglin Xia, and Qian Chen
Author Affiliations
  • School of Electronics and Information Engineering, Wuyi University, Jiangmen 529020, Guangdong , China
  • show less
    References(25)

    [6] Zhang Q X, Xu Z Y, Feng P et al. Performance prediction of halide double perovskite materials based on machine learning[J]. Acta Energiae Solaris Sinica, 45, 107-115(2024).

    Tools

    Get Citation

    Copy Citation Text

    Yin Gao, Yang Li, Chuanglin Xia, Qian Chen. Machine Learning-Assisted Optimization of Process Parameters for Perovskite Solar Cell Fabrication[J]. Laser & Optoelectronics Progress, 2025, 62(9): 0916003

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Materials

    Received: Dec. 20, 2024

    Accepted: Feb. 7, 2025

    Published Online: May. 9, 2025

    The Author Email: Yang Li (insidesun51@163.com)

    DOI:10.3788/LOP242462

    CSTR:32186.14.LOP242462

    Topics