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Several Logic Gates Extended from MAGIC-Memristor-Aided Logic

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Advances in Neural Networks - ISNN 2017 (ISNN 2017)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 10261))

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Abstract

Recently, it has been demonstrated that memristors can be utilized as logic operations and memory elements. In this paper, several logic gates extended from MAGIC–Memristor-Aided Logic, including IMP, XNOR, NAND and OR logic gates, are presented. The extended logic gates (except for the OR logic gate) are not only used as standalone logic but also can be performed within a crossbar array, providing opportunities for novel non-von Neumann computer architectures. Another logic gate (OR gate) is presented to alleviate the issue where the logic state of the output memristor can not fully switch to the desired state in the previous designs.

This work was supported by the National Natural Science Foundation of China (Grant Nos. 61374150 and 11271146), the State Key Program of the National Natural Science Foundation of China (Grant No. 61134012), and the Doctoral Fund of Ministry of Education of China (Grant No. 20130142130012).

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Authors and Affiliations

  1. Huazhong University of Science and Technology, Road Luoyu, Hubei, 1037, China

    Lin Chen, Xiaoping Wang & Zhigang Zeng

  2. Chongqing Cigarette Factory, China Tobacco Chongqing Industrial Co., Ltd., Road Tushan, 589, Chongqing, China

    Zhong He

Authors
  1. Lin Chen
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  2. Zhong He
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  3. Xiaoping Wang
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  4. Zhigang Zeng
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Corresponding author

Correspondence to Zhong He .

Editor information

Editors and Affiliations

  1. Dalian University of Technology, Dalian, China

    Fengyu Cong

  2. City University of Hong Kong, Kowloon Tong, Hong Kong

    Andrew Leung

  3. Chinese Academy of Sciences, Beijing, China

    Qinglai Wei

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Chen, L., He, Z., Wang, X., Zeng, Z. (2017). Several Logic Gates Extended from MAGIC-Memristor-Aided Logic. In: Cong, F., Leung, A., Wei, Q. (eds) Advances in Neural Networks - ISNN 2017. ISNN 2017. Lecture Notes in Computer Science(), vol 10261. Springer, Cham. https://doi.org/10.1007/978-3-319-59072-1_21

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  • DOI: https://doi.org/10.1007/978-3-319-59072-1_21

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-59071-4

  • Online ISBN: 978-3-319-59072-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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