Three-Dimensional Nanoscale Flexible Memristor Networks with Ultralow Power for Information Transmission and Processing Application.,Nano Letters

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Three-Dimensional Nanoscale Flexible Memristor Networks with Ultralow Power for Information Transmission and Processing Application.
Nano Letters ( IF 9.6 ) Pub Date : 2020-03-18 , DOI: 10.1021/acs.nanolett.9b05271
Tian-Yu Wang ₁ , Jia-Lin Meng ₁ , Ming-Yi Rao ₂ , Zhen-Yu He ₁ , Lin Chen ₁ , Hao Zhu ₁ , Qing-Qing Sun ₁ , Shi-Jin Ding ₁ , Wen-Zhong Bao ₁ , Peng Zhou ₁ , David Wei Zhang ₁

Affiliation

To construct an artificial intelligence system with high efficient information integration and computing capability like the human brain, it is necessary to realize the biological neurotransmission and information processing in artificial neural network (ANN), rather than a single electronic synapse as most reports. Because the power consumption of single synaptic event is ∼10 fJ in biology, designing an intelligent memristors-based 3D ANN with energy consumption lower than femtojoule-level (e.g., attojoule-level) and faster operating speed than millisecond-level makes it possible for constructing a higher energy efficient and higher speed computing system than the human brain. In this paper, a flexible 3D crossbar memristor array is presented, exhibiting the multilevel information transmission functionality with the power consumption of 4.28 aJ and the response speed of 50 ns per synaptic event. This work is a significant step toward the development of an ultrahigh efficient and ultrahigh-speed wearable 3D neuromorphic computing system.

中文翻译：

具有超低功耗的三维纳米级柔性忆阻器网络，用于信息传输和处理应用。

为了构建像人类大脑一样具有高效信息集成和计算能力的人工智能系统，有必要在人工神经网络（ANN）中实现生物神经传递和信息处理，而不是像大多数报告那样采用单个电子突触。由于在生物学中单个突触事件的功耗约为10 fJ，因此设计一种基于忆阻器的智能3D神经网络时，其能耗低于飞秒级（例如attojoule级），并且运行速度比毫秒级还快，构建比人脑更高的能源效率和更快的计算系统。在本文中，提出了一种灵活的3D纵横制忆阻器阵列，展示了功耗为4的多级信息传输功能。28 aJ，每个突触事件的响应速度为50 ns。这项工作是朝着开发超高效和超高速可穿戴3D神经形态计算系统迈出的重要一步。

更新日期：2020-03-18

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