Artificial visual systems enabled by quasi–two-dimensional electron gases in oxide superlattice nanowires
Citations Over TimeTop 10% of 2020 papers
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.
Related Papers
- → The effect of substrates on the Raman spectrum of graphene: Graphene- on-sapphire and graphene-on-glass(2007)250 cited
- → Orthotropic friction at the edges and interior of graphene and graphene fluoride and frictional anisotropy of graphene at the nanoscale(2021)1 cited
- A natural advantage? Using mined graphite to make graphene(2013)
- Synthesis and Characterisation of Graphene Single Sheets(2012)
- Unique synthesis of graphene-based materials for clean energy and biological sensing applications(2012)