The self-powered artificial synapse mechanotactile sensing system by integrating triboelectric plasma and gas-ionic-gated graphene transistor. (January 2022)

• Record Type: Journal Article
• Authors: Zhang, Song; Guo, Junmeng; Liu, Liangliang; Ruan, Haoran; Kong, Chuiyun; Yuan, Xiaobo; Zhang, Bao; Gu, Guangqin; Cui, Peng; Cheng, Gang; Du, Zuliang
• Is Part Of: Nano energy. Volume 91(2022)
• Publication Date: 2022-01
• Subjects: artificial synapse -- tactile sensing -- triboelectric plasma -- gas-ions-gated; Nanoscience -- Periodicals; Nanotechnology -- Periodicals; Nanostructured materials -- Periodicals; Power resources -- Technological innovations -- Periodicals; Nanoscience; Nanostructured materials; Nanotechnology; Power resources -- Technological innovations; Periodicals; 621.042
• DOI: 10.1016/j.nanoen.2021.106660
• Languages: English
• ISSNs: 2211-2855

Abstract

Abstract: The emulation of biological nerves to develop artificial synapse tactile sensing system has great application potentials in the fields of Internet of Things and artificial intelligence. Novel sensing strategies to achieve low power consumption, low cost, low complexity and high efficiency still face challenges. Here, a self-powered tactile sensing system has been developed by integrating a triboelectric plasma and a gas-ions-gated (GIG) graphene transistor, in which the GIG transistor is served as the artificial synapse, and the triboelectric plasma is served as both a tactile sensor and the driving signals of the GIG transistor. The N2 + ions in the triboelectric plasma are directly adsorbed on the graphene surface, acting as a floating gate of the GIG transistor to regulate its electrical transport characteristics. The adsorption density of N2 + ions reach up to 3.96 × 10 12 cm −2 with a measured desorption energy of 196 meV. The theoretical simulation shows that the N2 + ion is adsorbed at the site of carbon vacancy on the graphene surface. By regulating the number, frequency and polarization of the discharge pulse, various synaptic behaviors are achieved, such as short-term depression, long-term depression, long-term potentiation, paired-pulse facilitation, etc. Also, the neural functions of learning and temporal decoding have been demonstrated in experiments. By combining triboelectric plasma and GIG transistor, a facile experimental scheme for a self-powered, integrated, and simple structured intelligent tactile sensing system has been proposed, which is highly expected to promote the development of intelligent sensing fields in the future. Graphical Abstract: A facile self-powered artificial synapse tactile sensing system was first constructed by integrating triboelectric plasma and gas-ionic-gated graphene transistor, where the GIG transistor is served as the artificial synapse, and the triboelectric plasma is served as both a tactile sensor and the driving signals of the GIG transistor. The short-term depression, long-term depression, long-term potentiation, and paired-pulse facilitation etc. synaptic behaviors have been achieved by varying the density of N2 + ions adsorbed on the surface of single layer graphene. The nonlinear response with the increment of discharge pulses stimuli demonstrates the learning and temporal decoding functions of this mechanotactile sensing system. This is highly expected to promote the development of intelligent sensing fields in the future. ga1 Highlights: We designed a novel self-powered artificial synapse sensing system by integrating triboelectric plasma and GIG transistors. The N2 + ions serve as floating gates to regulate the electrical transport of single layer graphene. The STD, LTD, STP, PPF etc. synaptic behaviors have been realized by varying the density of N2 + on the surface of graphene. The nonlinear response demonstrates the learning and temporal decoding functions of this sensing system.