Ultralow‐Power Vertical Transistors for Multilevel Decoding Modes. Issue 3 (16th December 2022)

• Record Type: Journal Article
• Authors: Zhang, Qing; Li, Enlong; Wang, Yongshuai; Gao, Changsong; Wang, Congyong; Li, Lin; Geng, Dechao; Chen, Huipeng; Chen, Wei; Hu, Wenping
• Is Part Of: Advanced materials. Volume 35:Issue 3(2023)
• Page Start: n/a
• Page End: n/a
• Publication Date: 2022-12-16
• Subjects: artificial synapses -- microspacing in‐air sublimation -- organic vertical transistors -- ultralow power consumption; Materials -- Periodicals; Chemical vapor deposition -- Periodicals; 620.11
• DOI: 10.1002/adma.202208600
• Languages: English
• ISSNs: 0935-9648

Abstract

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 J ON of 16.6 mA cm −2 and a high J ON / J OFF ratio of 9.12 × 10 5 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. Abstract : Transition‐metal carbides/nitrides (MXene)‐organic single crystal vertical transistor exhibits a fast switching characteristic under an ultralow operating voltage of −1 mV, meanwhile consumes only 8.7 aJ per spike when working as an electrical synaptic transistor.