Artificial visual systems enabled by quasi-two-dimensional electron gases in oxide superlattice nanowires

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Article numbereabc6389
Journal / PublicationScience Advances
Volume6
Issue number46
Publication statusPublished - 11 Nov 2020

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Abstract

Rapid development of artificial intelligence techniques ignites the emerging demand on accurate perception and understanding of optical signals from external environments via brain-like visual systems. Here, enabled by quasi-two-dimensional electron gases (quasi-2DEGs) in InGaO3(ZnO)3 superlattice nanowires (NWs), an artificial visual system was built to mimic the human ones. This system is based on an unreported device concept combining coexistence of oxygen adsorption-desorption kinetics on NW surface and strong carrier quantum-confinement effects in superlattice core, to resemble the biological Ca2+ ion flux and neurotransmitter release dynamics. Given outstanding mobility and sensitivity of superlattice NWs, an ultralow energy consumption down to subfemtojoule per synaptic event is realized in quasi-2DEG synapses, which rivals that of biological synapses and now available synapse-inspired electronics. A flexible quasi-2DEG artificial visual system is demonstrated to simultaneously perform high-performance light detection, brain-like information processing, nonvolatile charge retention, in situ multibit-level memory, orientation selectivity, and image memorizing.

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Artificial visual systems enabled by quasi-two-dimensional electron gases in oxide superlattice nanowires. / Meng, You; Li, Fangzhou; Lan, Changyong; Bu, Xiuming; Kang, Xiaolin; Wei, Renjie; Yip, SenPo; Li, Dapan; Wang, Fei; Takahashi, Tsunaki; Hosomi, Takuro; Nagashima, Kazuki; Yanagida, Takeshi; Ho, Johnny C.

In: Science Advances, Vol. 6, No. 46, eabc6389, 11.11.2020.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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