Solid ion channels gel battery driven by triboelectric effect and its integrated self-powered foreign matter intrusion detecting system

Bi, Yaqi; Feng, Di; Liu, Shuangshuang; Jia, Lingjie; Meng, Yan; Xu, Wei; Yang, Jiayi; Liu, Sida; Wang, Baolong; Qin, Yong; Li, Xiuhan

doi:10.1016/j.nanoen.2021.105791

Cited by 8 publications

(3 citation statements)

References 13 publications

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“…Such an accumulation would form two ultra‐thin capacitors, which is called EDL capacitor. [ 37 ] Meanwhile, the Fermi level of graphene would move up but remain in the valence band, thus resulting in a reduced channel current. On the contrary, as shown in Figure 2c, a negative gate voltage would drive the cations EMIM + and the anions TFSI − with opposite charges, and then the Fermi level of graphene would move down, which leads to an increased channel current.…”

Section: Resultsmentioning

confidence: 99%

A Light‐Stimulus Flexible Synaptic Transistor Based on Ion‐Gel Side‐Gated Graphene for Neuromorphic Computing

Liu

et al. 2022

Advanced Photonics Research

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Optogenetic technology is to express the channel proteins that can be act on light for realizing the activity of neurons activated and inhibited. Here, inspired by optogenetics, a flexible side‐gate artificial synaptic transistor based on ion gel and graphene is demonstrated, where the long‐term remembering or forgetting could be activated by the 450 nm light stimulus. Taking advantage of in‐plane‐field tunable carrier transport in graphene and the high ionic motion of ion gels, various synaptic functions under flatting or bending conditions by electric stimuli are successfully mimicked, including inhibition postsynaptic current, excitatory postsynaptic current, and paired‐pulse facilitation. A light‐induced forgetting or remembering is demonstrated by long‐term synaptic plasticity under 20 s and 10 Hz positive or negative gate pulse stimulus in the dark and 4 min recovery with light illumination. Moreover, the light stimulus promotes the associative learning and remembering function, which is demonstrated by Pavlov's dog experiment with electrical pulses and light stimulus. Such light‐assisted learning and memory function on synaptic plasticity can be attributed to the photogenerated electrons trapping effects in our device. The authors’ results provide a feasible strategy for realizing flexible light–electrical‐stimulus synaptic transistors and developing the low‐energy flexible neuromorphic optoelectronic hardware platform.

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Section: Resultsmentioning

confidence: 99%

A Light‐Stimulus Flexible Synaptic Transistor Based on Ion‐Gel Side‐Gated Graphene for Neuromorphic Computing

Liu

et al. 2022

Advanced Photonics Research

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“…Intrusion detection is an important problem for both physical space [20][21][22] and cyberspace [23,24], for safety and security reasons. There are numerous previous studies attempting to address the difficulties of railway clearance intrusion detection.…”

Section: Related Workmentioning

confidence: 99%

A Fast Intrusion Detection Method for High-Speed Railway Clearance Based on Low-Cost Embedded GPUs

Wang

2021

Sensors

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The efficiency and the effectiveness of railway intrusion detection are crucial to the safety of railway transportation. Most current methods of railway intrusion detection or obstacle detection are inappropriate for large-scale applications due to their high cost or limited coverage. In this study, we present a fast and low-cost solution to intrusion detection of high-speed railways. As the solution to heavy computational burdens in the current convolutional-neural-network-based detection methods, the proposed method is mainly a novel neural network based on the SSD framework, which includes a feature extractor using an improved MobileNet and a lightweight and efficient feature fusion module. In addition, aiming to improve the detection accuracy of small objects, the feature map weights are introduced through convolution operation to fuse features at different scales. TensorRT is employed to optimize and deploy the proposed network in the low-cost embedded GPU platform, NVIDIA Jetson TX2, to enhance the efficiency. The experimental results show that the proposed methods achieved 89% mAP on the railway intrusion detection dataset, and the average processing time for a single frame was 38.6 ms on the Jetson TX2 module, which satisfies the need of real-time processing.

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“…With the rapid development of artificial intelligence and fifth-generation mobile communication technology, human–machine interaction (HMI) plays a crucial role in bridging humans with machines and popularizing the internet of things. − Typically, tactile sensing is a key step in converting tactile actions into electrical signals for machines. , Various traditional sensors were studied for smart sensing, such as capacitive, , resistive, − and optical sensors, , which endure the problem of supplying external energy. Notably, the triboelectric sensor (TES) based on the coupling of triboelectric and electrostatic effects is designed to detect movement under a low-pressure range in the self-powered mode. − Due to the merits of unique self-powering, small size, high sensitivity, fast response, and low detection limits, the TES not only is conducive to solving the problem of replacing the power supply but also shows crucial potential in portable sensing for establishing HMI systems. − …”

Section: Introductionmentioning

confidence: 99%

Performance-Enhanced Flexible Self-Powered Tactile Sensor Arrays Based on Lotus Root-Derived Porous Carbon for Real-Time Human–Machine Interaction of the Robotic Snake

Tu,

Fang,

Zhang

et al. 2024

ACS Appl. Mater. Interfaces

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Flexible tactile sensors play an important role in the development of wearable electronics and human−machine interaction (HMI) systems. However, poor sensing abilities, an indispensable external energy supply, and limited material selection have significantly constrained their advancement. Herein, a self-powered flexible triboelectric sensor (TES) is proposed by integrating lotus-root-derived porous carbon (PC) into polydimethylsiloxane (PDMS). Owing to the superior charge capturing capability of PC, the PDMS/PC (PPC)-based TES exhibits an open-circuit voltage (V oc ) of 22.8 V when it is periodically patted by skin at the pressure of 2 N and the frequency of 1 Hz, which is 5 times higher than that of a pristine PDMS-based TES. Furthermore, the as-prepared self-powered TES exhibits a high sensitivity of 3.24 V kPa −1 below 15 kPa for detecting human motion signals, such as finger clicks, joint bends, etc. Last but not the least, after the assembly of a PPC-based TES array and construction of an HMI system, the robotic snake can be controlled remotely by recognizing finger touching signals. This work shows broad potential applications for the self-powered TES in the fields of intelligent robotics, flexible electronics, disaster relief, and intelligence spying.

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Solid ion channels gel battery driven by triboelectric effect and its integrated self-powered foreign matter intrusion detecting system

Cited by 8 publications

References 13 publications

A Light‐Stimulus Flexible Synaptic Transistor Based on Ion‐Gel Side‐Gated Graphene for Neuromorphic Computing

A Light‐Stimulus Flexible Synaptic Transistor Based on Ion‐Gel Side‐Gated Graphene for Neuromorphic Computing

A Fast Intrusion Detection Method for High-Speed Railway Clearance Based on Low-Cost Embedded GPUs

Performance-Enhanced Flexible Self-Powered Tactile Sensor Arrays Based on Lotus Root-Derived Porous Carbon for Real-Time Human–Machine Interaction of the Robotic Snake

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