An Opto-Electronic HfO<inline-formula> <tex-math notation="LaTeX">$_{\textit{x}}$</tex-math> </inline-formula>-Based Transparent Memristive Synapse for Neuromorphic Computing System

Aftab Saleem, Dayanand Kumar, Facai Wu, Lai Boon Keong, Tseung Yuen Tseng

研究成果: Article同行評審

摘要

In this study, a transparent bilayer memristor showing both electrical and optical synapses along with good electrical properties after annealing is presented. In addition to 85% transparency, the device shows excellent electrical characteristics for 1000 cycles of stable LRS/HRS and more than 10<inline-formula> <tex-math notation="LaTeX">$^{{\text{4}}}$</tex-math> </inline-formula> s retention at high temperatures. The annealed device also exhibits stable potentiation and depression cycles for more than 10 000 ac pulses with a low coefficient of nonlinearity. By applying consecutive ac pulses, synaptic properties of paired-pulse facilitation (PPF) and spike time-dependent plasticity (STDP) are calculated. The memristor is illuminated by a 405 nm light source in which different light intensities ranging from 20 to 40 mW/cm<inline-formula> <tex-math notation="LaTeX">$^{{\text{2}}}$</tex-math> </inline-formula> are used for achieving multilevel cell (MLC) characteristics. Learning/Forgetting curve (PSC) and optical PPF are measured to mimic optical synaptic function. An image recognition comparison of optical and electrical synaptic properties with a normalized loss rate of <inline-formula> <tex-math notation="LaTeX">$&lt;$</tex-math> </inline-formula>0.1 is obtained after just 100 epoch trainings. These excellent attributes of this transparent memristor make it a promising candidate for electrical/optical memory devices or for using it as an optically synaptic sensor device.

原文English
頁(從 - 到)1-8
頁數8
期刊IEEE Transactions on Electron Devices
DOIs
出版狀態Accepted/In press - 2023

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