电阻随机存取存储器
记忆电阻器
量子点
冯·诺依曼建筑
神经形态工程学
瓶颈
材料科学
纳米技术
计算机科学
突触
光电子学
电压
电子工程
电气工程
人工神经网络
人工智能
工程类
神经科学
嵌入式系统
生物
操作系统
作者
Gyeongpyo Kim,Seoyoung Park,Sungjun Kim
出处
期刊:Nanomaterials
[Multidisciplinary Digital Publishing Institute]
日期:2024-09-29
卷期号:14 (19): 1575-1575
被引量:3
摘要
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.
科研通智能强力驱动
Strongly Powered by AbleSci AI