基于Te/SnS2异质结构的神经形态视觉系统传感-记忆-计算集成光电突触

IF 7.2 2区 材料科学 Q1 MATERIALS SCIENCE, MULTIDISCIPLINARY
Yingli Zhang, Yue Tang, Kai Liu, Yiru Gu, Liyu Wang, Yaodong Dong, Bozhi Feng, Xinyu Zhang, Hong Wang, Kaiqiang Liu, Lei Zhang, Man Jiang, Hua Xu
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引用次数: 0

摘要

人工智能的快速发展极大地刺激了集传感、存储和计算功能于一体的先进多功能光电器件的发展。本文构建了一个1D-2D Te/SnS2混合维异质结构器件,以展示多功能光电突触在一体化神经形态视觉系统中的应用。由于ii型pn结的形成,器件实现了103的大整流比和105的电流通/关比。作为光电探测器,该器件具有突出的门可调谐光响应,具有高探测率(1.14 × 1011 Jones),响应率(19.0 a W−1),外量子效率(4.44 × 107%)。结合光和栅极电压作为输入,器件实现了光电逻辑门“与”,表明其信息处理能力。此外,该器件还具有优异的非易失性和多比特光电可编程特性。结果表明,该装置可以刺激突触可塑性,包括短期/长期可塑性和成对脉冲促进。该装置通过光与电信号的耦合,实现了巴甫洛夫联想学习和视网膜样光适应。进一步将该装置应用于人工神经网络系统中进行手写数字识别,准确率达到94.4%。这项工作证明了我们的装置在神经形态视觉感知方面的巨大潜力,并为开发下一代集成光电系统提供了新的见解。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Optoelectronic Synapse Based on Te/SnS2 Heterostructure with Integrated Sensing-Memory-Computing for Neuromorphic Visual System

Optoelectronic Synapse Based on Te/SnS2 Heterostructure with Integrated Sensing-Memory-Computing for Neuromorphic Visual System

Optoelectronic Synapse Based on Te/SnS2 Heterostructure with Integrated Sensing-Memory-Computing for Neuromorphic Visual System

Optoelectronic Synapse Based on Te/SnS2 Heterostructure with Integrated Sensing-Memory-Computing for Neuromorphic Visual System

Optoelectronic Synapse Based on Te/SnS2 Heterostructure with Integrated Sensing-Memory-Computing for Neuromorphic Visual System

The rapid development of artificial intelligence greatly stimulates the development of advanced multifunctional optoelectronic devices that integrate sensing, memory, and computing functions into one device. Herein, a 1D-2D Te/SnS2 mixed-dimensional heterostructure device is constructed to demonstrate the multifunctional optoelectronic synapse for all-in-one neuromorphic visual systems. Owing to the formation of type-II p-n junction, the device achieves large rectification ratio of 103 and current on/off ratio of 105. As a photodetector, the device exhibits prominent gate tunable photoresponse with high detectivity (1.14 × 1011 Jones), responsivity (19.0 A W−1), external quantum efficiency (4.44 × 107%). Combing light and gate voltage as inputs, the device realizes an optoelectronic logic gate “AND”, indicating its information processing ability. Furthermore, the device also exhibits superior nonvolatility and multi-bit optoelectronic programmable characteristics. As results, the device can stimulate the synaptic plasticity, including short-term/long-term plasticity and paired-pulse facilitation. By coupling light and electrical signals, the device realizes Pavlovian associative learning and retina-like light adaptation. Further applying the device to the artificial neural network system for handwritten digit recognition achieves a high accuracy of 94.4%. This work demonstrates the great potential of our device for neuromorphic visual perception and provides new insight for developing next-generation integrated optoelectronic systems.

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来源期刊
Advanced Optical Materials
Advanced Optical Materials MATERIALS SCIENCE, MULTIDISCIPLINARY-OPTICS
CiteScore
13.70
自引率
6.70%
发文量
883
审稿时长
1.5 months
期刊介绍: Advanced Optical Materials, part of the esteemed Advanced portfolio, is a unique materials science journal concentrating on all facets of light-matter interactions. For over a decade, it has been the preferred optical materials journal for significant discoveries in photonics, plasmonics, metamaterials, and more. The Advanced portfolio from Wiley is a collection of globally respected, high-impact journals that disseminate the best science from established and emerging researchers, aiding them in fulfilling their mission and amplifying the reach of their scientific discoveries.
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