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Machine Learning-Assisted Fabrication of PCBM-Perovskite Solar Cells with Nanopatterned TiO_2 Layer
Graduate School of Integrated Energy-AI, Jeonbuk National University;
School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST);
Department of Herbal Medicine Resources, College of Environmental and Bioresource Sciences, Jeonbuk National University;
School of Chemical Engineering, Jeonbuk National University;
Department of Bioscience and Biotechnology, Konkuk University;
School of International Engineering and Science, Jeonbuk National University
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Siti Norhasanah Sanimu
Hwa-Young Yang
Jeevan Kandel
Ye-Chong Moon
Gangasagar Sharma Gaudel
Seung-Ju Yu
Yong Ju Kim
Sejung Kim
Bong-Hyun Jun
Won-Yeop Rho
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To unlock the full potential of PSCs,machine learning (ML) was implemented in this research to predict the optimal combinatio...
机 构:
Graduate School of Integrated Energy-AI, Jeonbuk National University;
School of Energy and Chemical Engineering, Ulsan National Institute of Science and Technology (UNIST);
Department of Herbal Medicine Resources, College of Environmental and Bioresource Sciences, Jeonbuk National University;
School of Chemical Engineering, Jeonbuk National University;
Department of Bioscience and Biotechnology, Konkuk University;
School of International Engineering and Science, Jeonbuk National University;
领 域:
材料科学;
电力工业;
关键词:
machine learning;
nanopatterning PCBM;
perovskite solar cells;
prediction;
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Energy & Environmental Materials
2024年04期
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