Robot-arm based automated system for developing wide bandgap perovskite solar cells
sooah kim a, Sung hwan Park a, Beom Soo Kim a
a Korea Research Institute of Chemical Technology (KRICT), 141 Gajeongro, Yuseong, Daejeon, 305, Korea, Republic of
Materials for Sustainable Development Conference (MATSUS)
Proceedings of MATSUS Fall 2024 Conference (MATSUSFall24)
#AMADISTA - Accelerated Materials Discovery Through Automation and Machine Learning
Lausanne, Switzerland, 2024 November 12th - 15th
Organizers: Philippe Schwaller, Tobias Stubhan and Christian Wolff
Poster, sooah kim, 358
Publication date: 28th August 2024

 Perovskite solar cells (PSCs) manufactured by the solution process are greatly affected by the dripping speed of the solution and the time interval between each layer process in PSCs. In the case of PSCs produced by human, it is difficult to control these process variables and to compare the condition-specific performance excluding variables. We introduced an automation process using a robot that automatically performs the solution process according to the input process program. The reproducibility of the experiment has been improved by using the robot. Through the automation process, we compared the device performance according to the dripping speed for each dielectric constant of the perovskite anti-solvents such as Toluene, Diethyl ether, Ethyl acetate, Trifluorotoluene. The hole transport layer (HTL), interlayer, and perovskite layer were spin-coated by robot. In addition, the electron transport layer (ETL) and metal electrode were deposited by vacuum evaporation to produce a p-i-n structured PSCs. By this method, the highest power conversion efficiency (PCE) was obtained at 19.84% when manufactured using toluene as perovskite anti-solvent. Uniform performance was obtained for devices manufactured under the same conditions. The automation process using robot is expected to greatly contribute to the research and commercialization of PSCs.

 

Acknowledgement) This research was supported by the Digital Research Innovation Institution Program Through the National Research Foundation of Korea (NRF) funded by Ministry of Science and ICT (RS-2023-00283597)

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