2024
DOI: 10.1002/adfm.202316397
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Flexible Zn‐TCPP Nanosheet‐Based Memristor for Ultralow‐Power Biomimetic Sensing System and High‐Precision Gesture Recognition

Yilong Wang,
Jie Su,
Guoyao Ouyang
et al.

Abstract: The flexible biomimetic sensory system inspired by biology exhibits learning, memory, and cognitive behavior toward external stimuli, providing a promising direction for the future development of the artificial intelligence industry. In this work, a Zn‐TCPP (TCPP: tetrakis (4‐carboxyphenyl) porphyrin) based flexible memristor with ultra‐low both operating voltage (≈80 mV) and power consumption (0.39 nW) that simulates typical synaptic plasticities, under continuously adjustable ultra‐low voltage pulses (50 mV)… Show more

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Cited by 3 publications
(1 citation statement)
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References 56 publications
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“…61 Wang et al developed a gesture recognition system through a flexible memristor-based sensing system assisted by deep learning neural network calculations, presenting huge application potential in biomimetic robotics. 62 In our work, a gesture recognition system was developed by combining the DESL eutectogel-based wearable strain sensor with deep learning algorithms. The gesture recognition system was achieved by attaching five DESL strain sensors to the five fingers (Fig.…”
Section: Resultsmentioning
confidence: 99%
“…61 Wang et al developed a gesture recognition system through a flexible memristor-based sensing system assisted by deep learning neural network calculations, presenting huge application potential in biomimetic robotics. 62 In our work, a gesture recognition system was developed by combining the DESL eutectogel-based wearable strain sensor with deep learning algorithms. The gesture recognition system was achieved by attaching five DESL strain sensors to the five fingers (Fig.…”
Section: Resultsmentioning
confidence: 99%