The self-powered artificial synapse mechanotactile sensing system by integrating triboelectric plasma and gas-ionic-gated graphene transistor

Zhang, Song; Guo, Junmeng; Liu, Liangliang; Ruan, Haoran; Kong, Chuiyun; Yuan, Xiaobo; Bao, Zhenan; Gu, Guangqin; Cui, Peng; Cheng, Gang; Du, Zongliang

doi:10.1016/j.nanoen.2021.106660

Cited by 49 publications

(28 citation statements)

References 44 publications

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“…[1098] Recently, the concept of merging TENGs and FETs to construct a TENG-gated/driven FET (T-FET), sometimes referred to as "tribotronics," has garnered considerable attention in the 2D materials community. [1111][1112][1113][1114][1115][1116] Additionally, the transistor matrix and arrays constructed from many T-FETs can be employed as sensory systems for biological stimuli and artificial synapses. [1112,[1117][1118][1119][1120] However, the majority of these studies use 2D materials as transistor channels rather than triboelectric layers, which is beyond the scope of this review.…”

Section: Integration Of Energy Harvester For Wearable and Human-relat...mentioning

confidence: 99%

“…[1111][1112][1113][1114][1115][1116] Additionally, the transistor matrix and arrays constructed from many T-FETs can be employed as sensory systems for biological stimuli and artificial synapses. [1112,[1117][1118][1119][1120] However, the majority of these studies use 2D materials as transistor channels rather than triboelectric layers, which is beyond the scope of this review. [1112,1114,1120] Roy et al used graphene oxide nanosheets and PVDFcontained nanofibers to create a multifunctional pyroelectric energy-driven breath sensor and piezoelectric pressure sensor.…”

Section: Integration Of Energy Harvester For Wearable and Human-relat...mentioning

confidence: 99%

“…[1112,[1117][1118][1119][1120] However, the majority of these studies use 2D materials as transistor channels rather than triboelectric layers, which is beyond the scope of this review. [1112,1114,1120] Roy et al used graphene oxide nanosheets and PVDFcontained nanofibers to create a multifunctional pyroelectric energy-driven breath sensor and piezoelectric pressure sensor. [1121] The PVDF/GO energy harvester demonstrated a pyroelectric output power density of 1.2 nW m −2 and the ability to sense temperature changes caused by respiration.…”

Section: Integration Of Energy Harvester For Wearable and Human-relat...mentioning

confidence: 99%

“…[ 1111–1116 ] Additionally, the transistor matrix and arrays constructed from many T‐FETs can be employed as sensory systems for biological stimuli and artificial synapses. [ 1112,1117–1120 ] However, the majority of these studies use 2D materials as transistor channels rather than triboelectric layers, which is beyond the scope of this review. [ 1112,1114,1120 ]…”

Section: D Materials Based Wearable Energy Harvesting Technologiesmentioning

confidence: 99%

“…[ 1112,1117–1120 ] However, the majority of these studies use 2D materials as transistor channels rather than triboelectric layers, which is beyond the scope of this review. [ 1112,1114,1120 ]…”

Section: D Materials Based Wearable Energy Harvesting Technologiesmentioning

confidence: 99%

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2D Materials for Wearable Energy Harvesting

Lee

2022

Adv Materials Technologies

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theoretical investigation into the effect of surface tension component ratios between the polar and dispersion components of applied solvents and 2D materials (Figure 3b). [523] The results indicated that a solvent suited for certain 2D materials LPE should have surface tension component ratios similar to the 2D materials. [523] However, direct exfoliation using sonication and Figure 3. Top-down approaches in 2D materials preparation. a) Schematically illustration of ultrasonic-assisted exfoliation. Reproduced with permission. [524] Copyright 2013, American Association for the Advancement of Science. b) Top and middle rows: dispersibility of graphene and MoS 2 as a function of total surface tension and polar to dispersive ratio. Bottom row showing the thickness histogram of graphene and MoS 2 exfoliated using solvents with the optimal surface tension and polar to dispersive component ratio. Reproduced with permission. [523] Copyright 2015, American Chemical Society. c) Detailed schematic of cathodic exfoliation (top) and anodic exfoliation (bottom) of graphene from graphite. Reproduced with permission. [1184] Copyright 2015, Elsevier. d) DFT calculation results of ion-intercalation exfoliation of graphite into graphene using SO 4 2− ion (bottom left), Li ion (top right) and K ion (bottom right). Reproduced under terms of the CC-BY license. [565] Copyright 2017, The Authors, published by the Royal Society of Chemistry. e) Left: SEM image (top) and AFM image (bottom) of a typical graphene obtained by ion-intercalated exfoliation. Right: Lateral size (top) and thickness (bottom) distribution of graphene through ion-intercalation exfoliation. Reproduced with permission.

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Section: Integration Of Energy Harvester For Wearable and Human-relat...mentioning

confidence: 99%

Section: Integration Of Energy Harvester For Wearable and Human-relat...mentioning

confidence: 99%

Section: Integration Of Energy Harvester For Wearable and Human-relat...mentioning

confidence: 99%

Section: D Materials Based Wearable Energy Harvesting Technologiesmentioning

confidence: 99%

Section: D Materials Based Wearable Energy Harvesting Technologiesmentioning

confidence: 99%

See 3 more Smart Citations

2D Materials for Wearable Energy Harvesting

Lee

2022

Adv Materials Technologies

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Integrated Self‐Powered Sensors Based on 2D Material Devices

Huo

Wei

Wang

et al. 2022

Adv Funct Materials

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With the development of the Internet of Things, there is an increasing need for clean energy and large-scale sensory systems. Triboelectric/piezoelectric nanogenerators (TENGs/PENGs), have attracted considerable attention as a new type of power generation terminal, which can harvest surrounding energy and convert it into electrical energy. To improve the output performance of nanogenerators (NGs) and diversify related applications, 2D materials with high carrier mobility and excellent piezoelectric properties can be directly used or integrated as different types of self-powered sensors. In this review, the authors first introduce the excellent piezoelectric and optoelectronic properties of 2D materials, followed by the triboelectric series of 2D materials used in TENGs. The categories of integrated self-powered sensors based on 2D materials are then summarized according to their different structures and compositions. We also discuss in detail the recent applications of integrated self-powered sensors based on 2D materials from five aspects. Finally, the challenges and outlooks in the research field of self-powered sensors are featured. Given the continuous development of self-powered sensors based on 2D materials, they are considered to have significant potential for applications in biomedicine, environmental detection, human motion monitoring, energy harvesting, and smart wearable devices.

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Dual‐Mode Semiconductor Device Enabling Optoelectronic Detection and Neuromorphic Processing with Extended Spectral Responsivity

Fu,

Yang,

Wang

et al. 2024

Advanced Materials

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High‐performance semiconductor devices capable of multiple functions are pivotal in meeting the challenges of miniaturization and integration in advanced technologies. Despite the inherent difficulties of incorporating dual functionality within a single device, a high‐performance, dual‐mode device is reported. This device integrates an ultra‐thin Al2O3 passivation layer with a PbS/Si hybrid heterojunction, which can simultaneously enable optoelectronic detection and neuromorphic operation. In mode 1, the device efficiently separates photo‐generated electron‐hole pairs, exhibiting an ultra‐wide spectral response from ultraviolet (265 nm) to near‐infrared (1650 nm) wavelengths. It also reproduces high‐quality images of 256 × 256 pixels, achieving a Q‐value as low as 0.00437 µW cm−2 at a light intensity of 8.58 µW cm−2. Meanwhile, when in mode 2, the as‐assembled device with typical persistent photoconductivity (PPC) behavior can act as a neuromorphic device, which can achieve 96.5% accuracy in classifying standard digits underscoring its efficacy in temporal information processing. It is believed that the present dual‐function devices potentially advance the multifunctionality and miniaturization of chips for intelligence applications.

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The self-powered artificial synapse mechanotactile sensing system by integrating triboelectric plasma and gas-ionic-gated graphene transistor

Cited by 49 publications

References 44 publications

2D Materials for Wearable Energy Harvesting

2D Materials for Wearable Energy Harvesting

Integrated Self‐Powered Sensors Based on 2D Material Devices

Dual‐Mode Semiconductor Device Enabling Optoelectronic Detection and Neuromorphic Processing with Extended Spectral Responsivity

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