Utilizing Machine Learning and Diode Physics to Investigate the Effects of Stoichiometry on Photovoltaic Performance in Sequentially Processed Perovskite Solar Cells

发表于 2026-7-16 15:09:34

期刊：ACS Omega

文献作者：Jeongbeom Cha; Dohun Baek; Haedam Jin; Hyemi Na; Geon Yeong Park; Dong Seok Ham; Min Kim

出版日期：2023-11-7

DOI号：10.1021/acsomega.3c05622

下载链接：https://pubs.acs.org/doi/pdf/10.1021/acsomega.3c05622

文献链接：https://doi.org/10.1021/acsomega.3c05622

当前文献来源于 American Chemical Society (ACS)。

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[ACS] Utilizing Machine Learning and Diode Physics to Investigate the Effects of Stoichiometry on Photovoltaic Performance in Sequentially Processed Perovskite Solar Cells

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