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

You Meng, Fangzhou Li, Changyong Lan, Xiuming Bu, Xiaolin Kang, Renjie Wei, Sen Po Yip, Dapan Li, Fei Wang, Tsunaki Takahashi, Takuro Hosomi, Kazuki Nagashima, Takeshi Yanagida, Johnny C. Ho

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article numbereabc6389
JournalScience Advances
Volume6
Issue number46
DOIs
Publication statusPublished - Nov 11 2020

All Science Journal Classification (ASJC) codes

  • General

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