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

Cha, Jeongbeom; Baek, Dohun; Jin, Haedam; Na, Hyemi; Park, Geon Yeong; Ham, Dong Seok; Kim, Min

Cha, Jeongbeom; Baek, Dohun; Jin, Haedam; Na, Hyemi; Park, Geon Yeong; Ham, Dong Seok; Kim, Min.

Afiliación

Cha J; Graduate School of Integrated Energy-AI, Jeonbuk National University, Jeonju 54896, Republic of Korea.
Baek D; School of Chemical Engineering, Clean Energy Research Center, Jeonbuk National University, Jeonju 54896, Republic of Korea.
Jin H; Graduate School of Integrated Energy-AI, Jeonbuk National University, Jeonju 54896, Republic of Korea.
Na H; School of Chemical Engineering, Clean Energy Research Center, Jeonbuk National University, Jeonju 54896, Republic of Korea.
Park GY; School of Chemical Engineering, Clean Energy Research Center, Jeonbuk National University, Jeonju 54896, Republic of Korea.
Ham DS; Chemical Materials Solutions Center, Korea Research Institute of Chemical Technology (KRICT), Daejeon 34114, Republic of Korea.
Kim M; Chemical Materials Solutions Center, Korea Research Institute of Chemical Technology (KRICT), Daejeon 34114, Republic of Korea.

ACS Omega ; 8(44): 41558-41569, 2023 Nov 07.

Article en En | MEDLINE | ID: mdl-37969995

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Idioma: En Revista: ACS Omega Año: 2023 Tipo del documento: Article Pais de publicación: Estados Unidos

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