Sub‐Femtojoule‐Energy‐Consumption Conformable Synaptic Transistors Based on Organic Single‐Crystalline Nanoribbons

Inspired from powerful functionalities of human brain, artificial synapses are innovated continuously for the construction of brain‐like neuromorphic electronics. The quest to rival the ultralow energy consumption of biological synapses has become highly compelling, but remains extremely difficult d...

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Veröffentlicht in:Advanced functional materials 2021-02, Vol.31 (7), p.n/a
Hauptverfasser: Zhang, Cong, Wang, Shuya, Zhao, Xiaoli, Yang, Yahan, Tong, Yanhong, Zhang, Mingxin, Tang, Qingxin, Liu, Yichun
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Sprache:eng
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Zusammenfassung:Inspired from powerful functionalities of human brain, artificial synapses are innovated continuously for the construction of brain‐like neuromorphic electronics. The quest to rival the ultralow energy consumption of biological synapses has become highly compelling, but remains extremely difficult due to the lack of appropriate materials and device construction. In this study, organic single‐crystalline nanoribbon active layer and elastic embedded photolithographic electrodes are first designed in synaptic transistors to reduce energy consumption of single device. The minimum energy consumption (0.29 fJ) of one synaptic event is far lower than that of biological synapse (10 fJ). Notably, sub‐femtojoule‐energy‐consumption synaptic transistors can simulate various biological plastic behaviors even under different tensile and compressive strains, offering a new guidance for the construction of ultralow‐energy‐consuming neuromorphic electronic devices and the development of flexible artificial intelligence electronics in the future. The organic single‐crystalline nanoribbon is proven to be an ideal choice for constructing sub‐femtojoule‐energy‐consumption conformable synaptic transistors. An ultralow‐power‐consumption synaptic transistor can conform on curved objects without affecting their synaptic functions. This will bring about a new design paradigm for constructing ultralow‐energy‐consumption conformable artificial synapses toward the capacity of human brain.
ISSN:1616-301X
1616-3028
DOI:10.1002/adfm.202007894