Litcius/Paper detail

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, SenPo Yip, Dapan Li, Fei Wang, Tsunaki Takahashi, Takuro Hosomi, Kazuki Nagashima, Takeshi Yanagida, Johnny C. Ho

2020Science Advances81 citationsDOIOpen Access PDF

Abstract

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.

Topics & Concepts

SuperlatticeNanowireMaterials scienceNanotechnologyGrapheneOptoelectronicsComputer scienceElectronic and Structural Properties of OxidesAdvanced Memory and Neural ComputingGas Sensing Nanomaterials and Sensors