Machine Learning-Assisted Fabrication of PCBM-Perovskite Solar
Cells with Nanopatterned TiO2 Layer
Hasanah Sanimu†, Hwa-Young Yang†,
Jeevan Kandel†, Ye-Chong Moon†,
Gangasagar Sharma Gaudel†, Seung-Ju Yu, Yong Ju
Kim3*, Sejung Kim*, Bong-Hyun
Jun*, Won-Yeop Rho*
Hasanah Sanimu, Jeevan Kandel, Ye-Chong Moon, Gangasagar Sharma Gaudel,
Seung-Ju Yu
Graduate School of Integrated Energy-AI, Jeonbuk National University,
567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 54896, Republic of
Korea
Dr. Hwa-Young Yang
School of Energy and Chemical Engineering, Ulsan National Institute of
Science and Technology (UNIST), 50 UNIST-gil, Eonyang-eup, Ulju-gun,
Ulsan 44919, Republic of Korea
Prof. Yong Ju Kim
Department of Oriental Medicine Resources, College of Environmental and
Bioresource Sciences, Jeonbuk National University, Iksan 54596, Republic
of Korea
Email:
nationface@jbnu.ac.kr
Prof. Sejung Kim
School of Chemical Engineering, Jeonbuk National University, 567
Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 54896, Republic of
Korea
Email:
sejung.kim@jbnu.ac.kr
Prof. Bong-Hyun Jun
Department of Bioscience and Biotechnology, Konkuk University, 120
Neungdong-ro, Gwangjin-gu, Seoul 05029, Republic of Korea
Email: bjun@konkuk.ac.kr
Prof. Won-Yeop Rho
School of International Engineering and Science, Jeonbuk National
University, 567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 54896,
Republic of Korea
Graduate School of Integrated Energy-AI, Jeonbuk National University,
567 Baekje-daero, Deokjin-gu, Jeonju-si, Jeollabuk-do 54896, Republic of
Korea
Email: rho7272@jbnu.ac.kr
Keywords: perovskite solar cells, nanopatterning, PCBM, machine
learning, prediction