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

Andrey S. Sokolov, Haider Abbas, Yawar Abbas, Changhwan Choi

    Research output: Contribution to journalReview articlepeer-review

    68 Scopus citations

    Abstract

    Resistive random-access memory (RRAM), also known as memristors, having a very simple device structure with two terminals, fulfill almost all of the fundamental requirements of volatile memory, nonvolatile memory, and neuromorphic characteristics. Its memory and neuromorphic behaviors are currently being explored in relation to a range of materials, such as biological materials, perovskites, 2D materials, and transition metal oxides. In this review, we discuss the different electrical behaviors exhibited by RRAM devices based on these materials by briefly explaining their corresponding switching mechanisms. We then discuss emergent memory technologies using memristors, together with its potential neuromorphic applications, by elucidating the different material engineering techniques used during device fabrication to improve the memory and neuromorphic performance of devices, in areas such as ION/IOFF ratio, endurance, spike time-dependent plasticity (STDP), and paired-pulse facilitation (PPF), among others. The emulation of essential biological synaptic functions realized in various switching materials, including inorganic metal oxides and new organic materials, as well as diverse device structures such as single-layer and multilayer hetero-structured devices, and crossbar arrays, is analyzed in detail. Finally, we discuss current challenges and future prospects for the development of inorganic and new materials-based memristors.

    Original languageBritish English
    Article number013101
    JournalJournal of Semiconductors
    Volume42
    Issue number1
    DOIs
    StatePublished - Jan 2021

    Keywords

    • Electronic synapse
    • Emerging memories
    • Memristor
    • Memristor engineering
    • Neuromorphic computing
    • Resistive switching
    • RRAM

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