Realization of Perovskite Transistor Memory and Dual-modulated Synapses through a Heterojunction Design
Yu-Ting Yang a, Yen-Han Shih a, Qun-Gao Chen b, Wen-Ya Lee b, Chu-Chen Chueh a
a Department of Chemical Engineering, National Taiwan University, Taipei 10617, Taiwan
b Department of Chemical Engineering and Biotechnology, National Taipei University of Technology, Taipei 106, Taiwan
Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and Optoelectronics
Proceedings of Asia-Pacific International Conference on Perovskite, Organic Photovoltaics and Optoelectronics (IPEROP24)
Tokyo, Japan, 2024 January 21st - 23rd
Organizers: Qing Shen and James Ryan
Poster, Yen-Han Shih, 081
Publication date: 18th October 2023

With the advent of artificial intelligence (AI) and the Internet of Things (IoT), neuromorphic devices with high data-processing efficiency have attracted significant research interest. Recently, metal halide perovskites for neuromorphic information processing have emerged due to their excellent optoelectronic properties and unique ion-electron mixing conductivity properties, which enable large dynamic responses to external stimuli. However, due to the difficulty in controlling the crystallization and the accompanying charge transport behavior, perovskites serving as active channels in synaptic transistors have rarely been discussed. In this study, we have achieved both electrically and optically modulated synaptic plasticity through carrier transfer at the interface of a heterostructure through a novel heterojunction design. By spanning an ultrathin-modified layer in the heterostructure, PEA2SnI4 can be successfully grown on the substrate with high crystallinity and undamaged charge transfer behavior. In electrical modulation, synaptic potentiation and depression can be achieved simultaneously by gate voltage modulation. In optical modulation, synaptic plasticity can be manipulated under green light irradiation (530 nm). Notably, this dual-modulation charge storage mechanism in perovskite heterojunction devices is proposed for the first time. In conclusion, the results indicate the potential application of the perovskite transistor in future neuromorphic intelligent systems.

The authors thank financial supports from the National Science and Technology Council (NSTC) in Taiwan (110-2923-E-002-007-MY3, 111-2124-M-002-021, 111-2923-E-002-006-MY3, 112-2628-E-002-031-, and 112-2223-E-002-008-MY4) and from Top University Project of National Taiwan University (112L7810).

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