Quantum Dots for Resistive Switching Memory and Artificial Synapse

Autor: Gyeongpyo Kim, Seoyoung Park, Sungjun Kim
Jazyk: angličtina
Rok vydání: 2024
Předmět:
Zdroj: Nanomaterials, Vol 14, Iss 19, p 1575 (2024)
Druh dokumentu: article
ISSN: 2079-4991
DOI: 10.3390/nano14191575
Popis: 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.
Databáze: Directory of Open Access Journals