Quantum Dots for Resistive Switching Memory and Artificial Synapse

Gyeongpyo Kim, Seoyoung Park, Sungjun Kim

Research output: Contribution to journalReview articlepeer-review

3 Scopus citations

Abstract

Memristor devices for resistive-switching memory and artificial synapses have emerged as promising solutions for overcoming the technological challenges associated with the von Neumann bottleneck. Recently, due to their unique optoelectronic properties, solution processability, fast switching speeds, and low operating voltages, quantum dots (QDs) have drawn substantial research attention as candidate materials for memristors and artificial synapses. This review covers recent advancements in QD-based resistive random-access memory (RRAM) for resistive memory devices and artificial synapses. Following a brief introduction to QDs, the fundamental principles of the switching mechanism in RRAM are introduced. Then, the RRAM materials, synthesis techniques, and device performance are summarized for a relative comparison of RRAM materials. Finally, we introduce QD-based RRAM and discuss the challenges associated with its implementation in memristors and artificial synapses.

Original languageEnglish
Article number1575
JournalNanomaterials
Volume14
Issue number19
DOIs
StatePublished - Oct 2024

Keywords

  • artificial synaptic device
  • quantum dot
  • resistive switching
  • switching mechanism

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