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基于柔性溶液处理黑磷的光电忆阻突触在神经形态计算和人工视觉感知应用中的研究进展。

Flexible Solution-Processable Black-Phosphorus-Based Optoelectronic Memristive Synapses for Neuromorphic Computing and Artificial Visual Perception Applications.

机构信息

Smart, Advanced Memory Devices and Applications (SAMA) Laboratory, Electrical and Computer Engineering Program, Computer Electrical Mathematical Science and Engineering Division, King Abdullah University of Science and Technology (KAUST), Thuwal, 23955-6900, Kingdom of Saudi Arabia.

出版信息

Adv Mater. 2023 Jul;35(28):e2300446. doi: 10.1002/adma.202300446. Epub 2023 May 24.

Abstract

Being renowned for operating with visible-light pulses and electrical signals, optoelectronic memristive synaptic devices have excellent potential for neuromorphic computing systems and artificial visual information processing. Here, a flexible back-end-of-line-compatible optoelectronic memristor based on a solution-processable black phosphorus/HfO bilayer with excellent synaptic features, toward biomimetic retinas is presented. The device shows highly stable synaptic features such as long-term potentiation (LTP) and long-term depression (LTD) for repetitive 1000 epochs, having 400 conductance pulses, each. The device presents advanced synaptic features in terms of long-term memory (LTM)/short term memory (STM), as well as learning-forgetting-relearning when visible light is induced on it. These advanced synaptic features can improve the information processing abilities for neuromorphic applications. Interestingly, the STM can be converted into LTM by adjusting the intensity of light and illumination time. Using the light-induced characteristics of the device, a 6 × 6 synaptic array is developed to exhibit possible use in artificial visual perception. Moreover, the devices are flexed using a silicon back-etching process. The resulting flexible devices demonstrate stable synaptic features when bent down to 1 cm radius. These multifunctional features in a single memristive cell make it highly suitable for optoelectronic memory storage, neuromorphic computing, and artificial visual perception applications.

摘要

基于具有优异突触性能的溶液处理黑磷/氧化铪双层的灵活后道兼容光电忆阻器,可用于仿生视网膜,为神经形态计算系统和人工视觉信息处理提供了极好的应用前景。该器件在经历 400 个电导脉冲、重复 1000 个周期后仍表现出长期增强(LTP)和长期抑制(LTD)等稳定的突触性能。此外,当可见光照射在器件上时,其表现出先进的短期记忆(STM)/长期记忆(LTM)以及学习-遗忘-再学习的突触性能,可用于神经形态应用中的信息处理。有趣的是,通过调节光的强度和照射时间,STM 可转换为 LTM。利用该器件的光致特性,开发了一个 6×6 的突触阵列,用于展示在人工视觉感知中的潜在应用。此外,该器件通过硅背刻蚀工艺实现了柔性化。结果表明,当曲率半径为 1cm 时,柔性器件仍保持稳定的突触性能。单个忆阻器中具有的这些多功能特性使其非常适用于光电存储、神经形态计算和人工视觉感知应用。

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