记忆电阻器
神经形态工程学
计算机科学
冯·诺依曼建筑
非易失性存储器
电阻随机存取存储器
计算机体系结构
过程(计算)
人工智能
纳米技术
人工神经网络
工程类
电子工程
电气工程
材料科学
计算机硬件
电压
操作系统
作者
Dahye Kim,Beomki Jeon,Yunseok Lee,Doohyung Kim,Youngboo Cho,Sungjun Kim
摘要
Since research on artificial intelligence has begun receiving much attention, interest in efficient hardware that can process a complex and large amount of information has also increased. The existing von Neumann computing architecture has significant limitations in terms of speed and energy efficiency. Volatile memristors are the most promising among several emerging memory semiconductor devices, because they have various features suitable for neuro-inspired applications. Therefore, a comprehensive review of volatile memristors is urgently needed for future research. Herein, we present the physical interpretation and latest research trends of the switching mechanisms of volatile memristors. We also review diverse promising applications using volatile memristors. In particular, we focus on selectors for array structures, synaptic devices for neuromorphic engineering, imitation of nociceptors, and reservoir computing for time-dependent input data processing. Finally, we discuss the future directions of volatile memristors and their applications.
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