A carbon conductive filament-induced robust resistance switching behavior for brain-inspired computing

Yu, Tianqi; Wang, Dong; Liu, Min; Lei, Wei; Shafie, Suhaidi; Mohtar, Mohd Nazim; Jindapetch, Nattha; van Paphavee, Dommelen; Zhao, Zhiwei

doi:10.1039/d3mh01762a

Cited by 4 publications

(1 citation statement)

References 56 publications

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“…The sensor function layer (SFL) is the material between two electrodes which ensures that the piezoresistive sensors are working properly. A flexible SFL with conductivity can be made of some conductive materials such as graphene, carbon nanotubes or carbon nanofiber [81][82][83] and combined with flexible organic polymer materials like polydimethylsiloxane (PDMS), thermoplastic polyurethane (TPU) or resin [84][85][86]. What is more, optimizing the piezoresistive sensors' performance requires a microstructure design [87][88][89].…”

Section: Flexible Near-sensor Tactile Systemmentioning

confidence: 99%

Recent Progress in Wearable Near-Sensor and In-Sensor Intelligent Perception Systems

Liu,

Wang,

Liu

et al. 2024

Sensors

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As the Internet of Things (IoT) becomes more widespread, wearable smart systems will begin to be used in a variety of applications in people’s daily lives, not only requiring the devices to have excellent flexibility and biocompatibility, but also taking into account redundant data and communication delays due to the use of a large number of sensors. Fortunately, the emerging paradigms of near-sensor and in-sensor computing, together with the proposal of flexible neuromorphic devices, provides a viable solution for the application of intelligent low-power wearable devices. Therefore, wearable smart systems based on new computing paradigms are of great research value. This review discusses the research status of a flexible five-sense sensing system based on near-sensor and in-sensor architectures, considering material design, structural design and circuit design. Furthermore, we summarize challenging problems that need to be solved and provide an outlook on the potential applications of intelligent wearable devices.

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Section: Flexible Near-sensor Tactile Systemmentioning

confidence: 99%

Recent Progress in Wearable Near-Sensor and In-Sensor Intelligent Perception Systems

Liu,

Wang,

Liu

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

The resistance switching performance of the memristor improved effectively by inserting carbon quantum dots (CQDs) for digital information processing

Yu,

Li,

Lei

et al. 2024

Nano Res.

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Carbon-based memristors for resistive random access memory and neuromorphic applications

Yang,

Liu,

Ding

et al. 2024

Chip

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A carbon conductive filament-induced robust resistance switching behavior for brain-inspired computing

Abstract: Memristors have revolutionized the path forward for brain-inspired computing. However, the instability of the nucleation process of conductive filaments based on active metal electrodes leads to the discrete distribution of...

Cited by 4 publications

References 56 publications

Recent Progress in Wearable Near-Sensor and In-Sensor Intelligent Perception Systems

Recent Progress in Wearable Near-Sensor and In-Sensor Intelligent Perception Systems

The resistance switching performance of the memristor improved effectively by inserting carbon quantum dots (CQDs) for digital information processing

Carbon-based memristors for resistive random access memory and neuromorphic applications

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