Embedded Hybrid‐Dimensional Heterointerface for Filament Modulation in 2D Material‐Based Artificial Nociceptor

Nociceptors are key sensory receptors that transmit warning signals to the central nervous system in response to painful stimuli. This fundamental process is emulated in an electronic device by developing a novel artificial nociceptor with an ultrathin, nonstoichiometric gallium oxide (GaO<sub>x</sub>)-silicon oxide heterostructure. A large-area 2D-GaO<sub>x</sub> film is printed on a substrate through liquid metal printing to facilitate the production of conductive filaments. This nociceptive structure exhibits a unique short-term temporal response following stimulation, enabling a facile demonstration of threshold-switching physics. The developed heterointerface 2D-GaO<sub>x</sub> film enables the fabrication of fast-switching, low-energy, and compliance-free 2D-GaO<sub>x</sub> nociceptors, as confirmed through experiments. The accumulation and extrusion of Ag in the oxide matrix are significant for inducing plastic changes in artificial biological sensors. High-resolution transmission electron microscopy and electron energy loss spectroscopy demonstrate that Ag clusters in the material dispersed under electrical bias and regrouped spontaneously when the bias is removed owing to interfacial energy minimization. Moreover, 2D nociceptors are stable; thus, heterointerface engineering can enable effective control of charge transfer in 2D heterostructural devices. Furthermore, the diffusive 2D-GaO<sub>x</sub> device and its Ag dynamics enable the direct emulation of biological nociceptors, marking an advancement in the hardware implementation of artificial human sensory systems.

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Publication Details

Journal
Advanced Science
Published
2024-08-05
DOI
https://doi.org/10.1002/advs.202401946
Citations
11
Primary Topic
Advanced Memory and Neural Computing
Type
article
Field-Weighted Citation Impact
2.30

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article

Embedded Hybrid‐Dimensional Heterointerface for Filament Modulation in 2D Material‐Based Artificial Nociceptor

Tian‐Li Wu, T. T. Cheng, Chia‐Yi Wu, Kuan‐Hung Chen et al.
11 citations
Advanced Science
Advanced Memory and Neural Computing
2.30
article

Embedded Hybrid‐Dimensional Heterointerface for Filament Modulation in 2D Material‐Based Artificial Nociceptor

Tian‐Li Wu, T. T. Cheng, Chia‐Yi Wu, Kuan‐Hung Chen, Chang‐Hsun Huang, Yi‐Chia Chou
article en
11 citations

Abstract

Nociceptors are key sensory receptors that transmit warning signals to the central nervous system in response to painful stimuli. This fundamental process is emulated in an electronic device by developing a novel artificial nociceptor with an ultrathin, nonstoichiometric gallium oxide (GaO<sub>x</sub>)-silicon oxide heterostructure. A large-area 2D-GaO<sub>x</sub> film is printed on a substrate through liquid metal printing to facilitate the production of conductive filaments. This nociceptive structure exhibits a unique short-term temporal response following stimulation, enabling a facile demonstration of threshold-switching physics. The developed heterointerface 2D-GaO<sub>x</sub> film enables the fabrication of fast-switching, low-energy, and compliance-free 2D-GaO<sub>x</sub> nociceptors, as confirmed through experiments. The accumulation and extrusion of Ag in the oxide matrix are significant for inducing plastic changes in artificial biological sensors. High-resolution transmission electron microscopy and electron energy loss spectroscopy demonstrate that Ag clusters in the material dispersed under electrical bias and regrouped spontaneously when the bias is removed owing to interfacial energy minimization. Moreover, 2D nociceptors are stable; thus, heterointerface engineering can enable effective control of charge transfer in 2D heterostructural devices. Furthermore, the diffusive 2D-GaO<sub>x</sub> device and its Ag dynamics enable the direct emulation of biological nociceptors, marking an advancement in the hardware implementation of artificial human sensory systems.

Advanced ScienceVol. 11(36)
National Yang Ming Chiao Tung University (TW), National Taiwan University (TW)
Ministry of Education, National Taiwan University
Openalex Percentile: Top 11%
Advanced Memory and Neural Computing
2.30
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