首页|Advances of embedded resistive random access memory in industrial manufacturing and its potential applications

Advances of embedded resistive random access memory in industrial manufacturing and its potential applications

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Embedded memory,which heavily relies on the manufacturing process,has been widely adopted in various industrial applications.As the field of embedded memory continues to evolve,innovative strategies are emerging to enhance performance.Among them,resistive random access memory(RRAM)has gained significant attention due to its numerous advantages over traditional memory devices,including high speed(<1 ns),high density(4 F2·n-1),high scalability(~nm),and low power consumption(~pJ).This review focuses on the recent progress of embedded RRAM in industrial manufacturing and its potential applications.It provides a brief introduction to the concepts and advantages of RRAM,discusses the key factors that impact its industrial manufacturing,and presents the commercial progress driven by cutting-edge nanotechnology,which has been pursued by many semiconductor giants.Additionally,it highlights the adoption of embedded RRAM in emerging applications within the realm of the Internet of Things and future intelligent computing,with a particular emphasis on its role in neuromorphic computing.Finally,the review discusses the current challenges and provides insights into the prospects of embedded RRAM in the era of big data and artificial intelligence.

embedded resistive random access memoryindustrial manufacturingintelligent computingadvanced process node

Zijian Wang、Yixian Song、Guobin Zhang、Qi Luo、Kai Xu、Dawei Gao、Bin Yu、Desmond Loke、Shuai Zhong、Yishu Zhang

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College of Integrated Circuits,Zhejiang University,Hangzhou,Zhejiang 3112000,People's Republic of China

ZJU-Hangzhou Global Scientific and Technological Innovation Center,Hangzhou 310027,People's Republic of China

Department of Science,Mathematics and Technology,Singapore University of Technology and Design,Singapore 487372,Singapore

Guangdong Institute of Intelligence Science and Technology,Hengqin,Zhuhai 519031,People's Republic of China

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Key-Area Research and Development Program of Guangdong ProvinceNational Natural Science Foundation of ChinaNational Natural Science Foundation of ChinaMajor Program of Natural Science Foundation of Zhejiang Province

2021B09090600026220421962204140LDT23F0401

2024

极端制造(英文)

极端制造(英文)

CSTPCDEI
ISSN:
年,卷(期):2024.6(3)
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