摘要
六方氮化硼是一种与石墨烯结构相似的材料,以六方氮化硼作为阻变介质层的忆阻器,具有良好的散热性能,不易发生介电击穿,能够实现小尺寸、低功耗和大的开关比;在计算机运算存储研究、人工神经网络和神经形态(即类脑)计算领域有极大的应用前景。文章主要介绍了忆阻器的分类,分析了六方氮化硼忆阻器的阻变机制,综述了六方氮化硼忆阻器的研究现状。最后,指出了六方氮化硼忆阻器当前面临的挑战,并展望了未来的发展方向。
As a graphene-like structural material,hexagonal boron nitride(h-BN) possesses many superior properties.Owing to their enhanced qualities such as simple device structure,low power consumption,and good scalability potential,h-BN memristors are receiving increasing attention and are currently considered to hold great application prospects in the fields of computing and storage,artificial neural networks,and neuromorphic computing.In this paper,a classification of memristors is introduced,the resistive switching mechanism of the h-BN memristor is discussed,and the research status of the h-BN memristor is reviewed.Finally,the current challenges of the h-BN memristor are pointed out,and the paper concludes with an outlook of the future direction of development.
作者
王思博
刘晓航
陈占国
WANG Sibo;LIU Xiaohang;CHEN Zhanguo(School of Electronic Science and Engineering,Jilin University,Changchun 130012,CHN)
出处
《半导体光电》
CAS
北大核心
2024年第1期11-18,共8页
Semiconductor Optoelectronics
基金
国家自然科学基金项目(62174066)。
关键词
六方氮化硼
忆阻器
低维材料
hexagonal boron nitride
memristor
low dimensional material