Halide perovskite thin film transistors for optical learning
Amoolya Nirmal a, Darrell Jun Jie Tay a, Natalia Yantara a, Si En Ng a, Divyam Sharma a, Nripan Mathews a
a Nanyang Technological University, Nanomaterials Laboratory, S2.1-B5-01, School of Electrical & Electronic Engineering, NTU, Singapore, Singapore, Singapore
Proceedings of Neuromorphic Materials, Devices, Circuits and Systems (NeuMatDeCaS)
VALÈNCIA, Spain, 2023 January 23rd - 25th
Organizers: Rohit Abraham John, Irem Boybat, Jason Eshraghian and Simone Fabiano
Contributed talk, Amoolya Nirmal, presentation 030
DOI: https://doi.org/10.29363/nanoge.neumatdecas.2023.030
Publication date: 9th January 2023

Metal halide perovskites, with their superior electronic properties, solution processibility and scalability, are promising candidates for optoelectronic applications such as solar cells and LEDs. Although of relevance to thin film transistor applications, for perovskite systems, TFT operation at room temperature  is primarily achieved via precise compositional, microstructural control or via surface/substrate/electrode treatments. Here, tin doped indium oxide is utilized as source/drain contacts to fabricate a room temperature operational n-type solution-processed Cs(MAFA)Pb(BrI) transistor. The inherent photo response of the perovskite channel and the gate bias modulation capability of the transistor configuration is utilized to demonstrate optical learning in these TFTs. By modulating the gate bias polarity, to boost or suppress the channel conductance, gradual or immediate forgetting of optical learning is achieved. Such TFT configuration and opto/electrical learning/forgetting schemes opens an avenue to employ perovskites as optical learning pixels

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