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Advanced Materials

A Carbon Nanotube Synapse with Dynamic Logic and Learning

Authors

  • Kyunghyun Kim,

    1. Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, California 90095, USA
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  • Chia-Ling Chen,

    1. Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, California 90095, USA
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  • Quyen Truong,

    1. Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, California 90095, USA
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  • Alex M. Shen,

    1. Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, California 90095, USA
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  • Yong Chen

    Corresponding author
    1. Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, California 90095, USA
    2. California NanoSystems Institute, University of California, Los Angeles, California 90095, USA
    • Department of Mechanical and Aerospace Engineering, University of California, Los Angeles, California 90095, USA.
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Abstract

A carbon nanotube (CNT) synapse emulates a biological synapse with its dynamic logic, learning, and memory functions induced by the interactions between CNTs and hydrogen ions in an electrochemical cell. A circuit of CNT synapses operates with extremely low-energy consumption and could potentially emulate the functions of the neuronal network.

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