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- W4308368410 abstract "Organic field-effect transistors with parallel transmission and learning functions are of interest in the development of brain-inspired neuromorphic computing. However, the poor performance and high power consumption are the two main issues limiting their practical applications. Herein, an ultralow-power vertical transistor is demonstrated based on transition-metal carbides/nitrides (MXene) and organic single crystal. The transistor exhibits a high JON of 16.6 mA cm-2 and a high JON /JOFF ratio of 9.12 × 105 under an ultralow working voltage of -1 mV. Furthermore, it can successfully simulate the functions of biological synapse under electrical modulation along with consuming only 8.7 aJ of power per spike. It also permits multilevel information decoding modes with a significant gap between the readable time of professionals and nonprofessionals, producing a high signal-to-noise ratio up to 114.15 dB. This work encourages the use of vertical transistors and organic single crystal in decoding information and advances the development of low-power neuromorphic systems." @default.
- W4308368410 created "2022-11-11" @default.
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- W4308368410 date "2022-12-16" @default.
- W4308368410 modified "2023-10-16" @default.
- W4308368410 title "Ultralow‐Power Vertical Transistors for Multilevel Decoding Modes" @default.
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- W4308368410 doi "https://doi.org/10.1002/adma.202208600" @default.
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