Issue 25, 2023

An all-two-dimensional Fe-FET retinomorphic sensor based on the novel gate dielectric In2Se3−xOx

Abstract

Two-dimensional (2D) ferroelectric field-effect transistors (Fe-FETs) have attracted extensive interest as a competitive platform for implementing future-generation functional electronics, including digital memory and brain-inspired computing circuits. In 2D Fe-FETs, the 2D ferroelectric materials are more suitable as gate dielectric materials compared to 3D ferroelectric materials. However, the current 2D ferroelectric materials (represented by α-In2Se3) need to be integrated with other 3D gate dielectric layers because of their high conductivity as a ferroelectric semiconductor. This 2D/3D hybrid structure can lead to compatibility problems in practical devices. In this study, a new 2D gate dielectric material that is compatible with the complementary metal–oxide semiconductor process was found by using oxygen plasma treatment. The 2D gate dielectric material obtained shows excellent performance, with an equivalent oxide thickness of less than 0.15 nm, and excellent insulation, with a leakage current of less than 2 × 10−5 A cm−2 (under a 1 V gate voltage). Based on this dielectric layer and the α-In2Se3 ferroelectric gate material, we fabricated an all-2D Fe-FET high-performance photodetector with a high on/off ratio (∼105) and detectivity (>1013 Jones). Moreover, the photoelectric device integrates perception, memory and computing characteristics, indicating that it can be applied to an artificial neural network for visual recognition.

Graphical abstract: An all-two-dimensional Fe-FET retinomorphic sensor based on the novel gate dielectric In2Se3−xOx

Supplementary files

Article information

Article type
Paper
Submitted
04 Apr 2023
Accepted
31 May 2023
First published
31 May 2023

Nanoscale, 2023,15, 10705-10714

An all-two-dimensional Fe-FET retinomorphic sensor based on the novel gate dielectric In2Se3−xOx

X. Li, X. Chen, W. Deng, S. Li, B. An, F. Chu, Y. Wu, F. Liu and Y. Zhang, Nanoscale, 2023, 15, 10705 DOI: 10.1039/D3NR01567J

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