Issue 13, 2022

Water-induced dual ultrahigh mobilities over 400 cm2 V−1 s−1 in 2D MoS2 transistors for ultralow-voltage operation and photoelectric synapse perception

Abstract

Two-dimensional (2D) MoS2 is regarded as one of the most promising channel materials for field-effect transistors (FETs) due to its thickness-dependent bandgap and high air-stability. However, current MoS2 FETs generally exhibit high power dissipation and low switching speed because of the general low field-effect mobility (μ ≈ 0.1–20 cm2 V−1 s−1). Here, a facile and effective strategy to significantly enhance the μ over 400 cm2 V−1 s−1 is proposed by capping the water molecules on the 2D MoS2 surface of the FET. The device exhibits an ultralow operation voltage of 0.6 V as well as dual ultrahigh mobility behaviors from 409.1 cm2 V−1 s−1 to 773.4 cm2 V−1 s−1, which can be attributed to the ion-contributed quasi-electric-double-layer effect. More importantly, some intriguing synapse behaviors, such as excitatory/inhibitory postsynaptic current and controllable memory behavior, are successfully realized in our water-induced MoS2 synapse transistors. This artificial synapse can also decode Morse-coded external electrical signals. Most importantly, the light-dependent accuracy of handwritten digit recognition can be found to be as high as 97.2% based on the proposed artificial visual recognition system. These results can open new avenues for the fascinating applications of high-performance photoelectric perception systems in future, such as autonomous vehicles, man–machine interfaces, etc.

Graphical abstract: Water-induced dual ultrahigh mobilities over 400 cm2 V−1 s−1 in 2D MoS2 transistors for ultralow-voltage operation and photoelectric synapse perception

Supplementary files

Article information

Article type
Paper
Submitted
17 Dec 2021
Accepted
19 Feb 2022
First published
21 Feb 2022

J. Mater. Chem. C, 2022,10, 5249-5256

Water-induced dual ultrahigh mobilities over 400 cm2 V−1 s−1 in 2D MoS2 transistors for ultralow-voltage operation and photoelectric synapse perception

D. Xie, L. Wei, Z. Wei, J. He and J. Jiang, J. Mater. Chem. C, 2022, 10, 5249 DOI: 10.1039/D1TC06010D

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