Oxide Synaptic Transistors Coupled With Triboelectric Nanogenerators for Bio-Inspired Tactile Sensing Application

Zhang, Chenxi; Li, Sheng; He, Yongli; Chen, Chunsheng; Jiang, Shanshan; Yang, Xiaoqian; Wang, Xinran; Pan, Lijia; Wan, Qing

doi:10.1109/led.2020.2972038

Cited by 58 publications

(44 citation statements)

References 26 publications

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“…[21] When the gate voltage is applied in the form of electric pulses, each pulse injects a certain amount of ions into the channel, inducing extra carriers in the channel and then a gradual increase in the channel conductance with the number of pulses ( Figure 4d). [67,68] Based on these unique properties, various applications of IGTs have been explored, including neuromorphic computing, [11,69] chemical and physical sensors, [70,71] neural interfaces, [72] artificial sensing, [73][74][75] printed circuits, [25] electronic skins, [76] and human-machine interactions. [77]…”

Section: Electrical Characteristicsmentioning

confidence: 99%

“…Maximum retention IGT 10 000 [140] 5 ns [68] 1.23 fJ [159] Low Low 10 9 [137,160] >25 h [161] RRAM 64 [162] 85 ps [163] 115 fJ [164] High High 10 12 [165,166] >1000 years @ RT [167] PCM 16 [168,169] 700 ps [170] 1 pJ [171] High High 10 11 [172] >1000 years @ RT [173] FTJ/FeFET %10 [123,174,175] 10 ns [174] 100 fJ [174] High High 4 Â 10 6 [175] %3 days [176] MTJ/STT-MRAM 2 [177,178] 200 ps [179] 10 fJ [180] High High 10 12 [181] 10 years @ RT [182] MOSFET 2 [183] <10 0 ns (SRAM) <10 1 ns (DRAM) [183] %1-10 fJ [183] High High >10 16 [183] %1-10 ns [183] and an IGT (Figure 9b). [75] The pressure sensor TENG is made by assembling a silk fibroin/indium tin oxide (ITO)/ polyethylene terephthalate (PET) film with another untreated ITO/PET film through adhesive tape. IGTs are prepared on ITO/glass substrates with indium gallium zinc oxide (IGZO) as the channel and ITO as the electrode material.…”

Section: Near-sensor Computingmentioning

confidence: 99%

Section: Intelligent Sensorsmentioning

confidence: 99%

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Ion‐Gated Transistor: An Enabler for Sensing and Computing Integration

Han

Shang

et al. 2020

Advanced Intelligent Systems

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With the rapid development of the Internet of Things, the amount of data we involved in our daily life is growing exponentially, which poses significant challenges for data processing and transmission to the conventional terminal sensors that passively acquire external data. Inspired by biological sensory nervous systems, building artificial intelligent sensory systems with both sensing and computing capability is regarded as a promising way to address these challenges, by which the acquired data can be preprocessed locally and timely before transmitting them to the remote server for further processing. Ion-gated transistors (IGTs), which have been widely used in sensors and have been recently investigated for neuromorphic computing, exhibit great potential in this domain. Herein, the essential operation principles, device structures, and electrical characteristics of IGT are introduced, and the recent developments in biosensors, neuromorphic computing, and intelligent sensors with near-sensor computing and in-sensor computing modes are summarized. To conclude, the current challenges and future development of IGT for intelligent sensory systems are presented.

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Section: Electrical Characteristicsmentioning

confidence: 99%

Section: Near-sensor Computingmentioning

confidence: 99%

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Ion‐Gated Transistor: An Enabler for Sensing and Computing Integration

Han

Shang

et al. 2020

Advanced Intelligent Systems

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“…In addition to the above reviewed progress, we have also seen rapid advances in developing the bio-derived natural materials based triboelectric devices for other functional applications. [50,60,107,117,334] For example, Luo et al [50] reported a flexible smart ping-pong table based on wood TENG. The TENGs built with hot-pressed wood materials can obtain a ≈70% enhancement compared with the devices made from natural wood.…”

Section: Challenges and Opportunitiesmentioning

confidence: 99%

“…Zhang et al recently demonstrated a tactile-sensing element based on a silk-based TENGs and chitosan-based electrolyte-gated synaptic transistors (EGT) for biological tactile sensory neuron emulation. [107] Here, TENG was used to convert the pressure signals into voltage pulses, and EGT was used as a neuromorphic device for emulating biological synapse behaviors, which successfully simulated the ability of spiders to recognize prey by the vibration of spider webs. This work demonstrates the application prospect of bio-TENG based neuromorphic elements in future artificial intelligence and bionic technology.…”

Section: Challenges and Opportunitiesmentioning

confidence: 99%

Bio‐Derived Natural Materials Based Triboelectric Devices for Self‐Powered Ubiquitous Wearable and Implantable Intelligent Devices

Yang

Fan

2020

Advanced Sustainable Systems

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The capability of devices in future ubiquitous networked wearable and implantable electronics to efficiently scavenge and store operational power from their working environment through sustainable pathways would enable viable self‐powering schemes in societally‐pervasive applications such as advanced healthcare and robotics. Triboelectric nanogenerators (TENGs) can efficiently harvest the ubiquitous mechanical energy for powering electronics and sensors. However, the majority of demonstrated TENG prototypes have been built with materials that are not biodegradable or biocompatible, which significantly hinders the application of TENGs for wearable and implantable technologies. In this review, the recent progress of the wearable and implantable triboelectric devices built with bio‐derived natural materials is summarized. The properties of these natural biopolymers are discussed in the context of self‐powered triboelectric applications. The common manufacturing methods for processing these materials into triboelectric devices are also discussed. In addition, the applications of the bio‐derived natural materials based TENGs for in vitro and in vivo applications are discussed. Finally, the outstanding challenges and potential opportunities for the development of bio‐derived natural materials based triboelectric devices targeting wearable and implantable human‐integrated applications are analyzed.

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Linear Classification Function Emulated by Pectin‐Based Polysaccharide‐Gated Multiterminal Neuron Transistors

Guo

Liu

Zhou

et al. 2021

Adv Funct Materials

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Neuromorphic computing, which merges learning and memory functions, is a new computing paradigm surpassing traditional von Neumann architecture. Apart from the plasticity of artificial synapses, the simulation of neurons’ multi‐input signal integration is also of great significance to realize efficient neuromorphic computing. Since the structure of transistors and neurons is strikingly similar, capacitively coupled multi‐terminal pectin‐gated oxide electric double layer transistors are proposed here as artificial neurons for classification. In this work, the free logic switching of “AND” and “OR” is realized in the device with triple in‐plane gates. More importantly, the linear classification function on a single neuron transistor is demonstrated experimentally for the first time. All the results obtained in this work indicate that the prepared artificial neuron can improve the efficiency of artificial neural networks and thus will play an important role in neuromorphic computing.

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Oxide Synaptic Transistors Coupled With Triboelectric Nanogenerators for Bio-Inspired Tactile Sensing Application

Cited by 58 publications

References 26 publications

Ion‐Gated Transistor: An Enabler for Sensing and Computing Integration

Ion‐Gated Transistor: An Enabler for Sensing and Computing Integration

Bio‐Derived Natural Materials Based Triboelectric Devices for Self‐Powered Ubiquitous Wearable and Implantable Intelligent Devices

Linear Classification Function Emulated by Pectin‐Based Polysaccharide‐Gated Multiterminal Neuron Transistors

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