Journal of Semiconductors, Volume. 42, Issue 1, 013101(2021)

Towards engineering in memristors for emerging memory and neuromorphic computing: A review

Andrey S. Sokolov1, Haider Abbas1, Yawar Abbas2, and Changhwan Choi1
Author Affiliations
  • 1Division of Materials Science and Engineering, Hanyang University, Seoul 04763, Republic of Korea
  • 2Department of Physics, Khalifa University, Abu Dhabi 127788, United Arab Emirates
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    [170] et alPhysics-based modeling of volatile resistive switching memory (RRAM) for crosspoint selector and neuromorphic computing. IEEE Int Electron Devices Meet, 40.3.1(2018).

    [173] et alStochastic synaptic plasticity with memristor crossbar arrays. IEEE Int Symposium on Circuits and Systems, 2078(2016).

    [175] Human memory: A proposed system and its control processes. Psychology of Learning and Motivation, 89(1968).

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    Andrey S. Sokolov, Haider Abbas, Yawar Abbas, Changhwan Choi. Towards engineering in memristors for emerging memory and neuromorphic computing: A review[J]. Journal of Semiconductors, 2021, 42(1): 013101

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    Paper Information

    Category: Reviews

    Received: Jul. 31, 2020

    Accepted: --

    Published Online: Mar. 19, 2021

    The Author Email:

    DOI:10.1088/1674-4926/42/1/013101

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