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

International Journal of Extreme Manufacturing 2024年第3期6卷 175-214页

作者： Zijian Wang Yixian Song Guobin Zhang Qi Luo Kai Xu Dawei Gao Bin Yu Desmond Loke Shuai Zhong Yishu Zhang College of Integrated Circuits Zhejiang UniversityHangzhouZhejiang 3112000People’s Republic of China ZJU-Hangzhou Global Scientific and Technological Innovation Center Hangzhou 310027People’s Republic of China Department of Science Mathematics and TechnologySingapore University of Technology and DesignSingapore 487372Singapore Guangdong Institute of Intelligence Science and Technology HengqinZhuhai 519031People’s Republic of China

Embedded memory,which heavily relies on the manufacturing process,has been widely adopted in various industrial *** the field of embedded memory continues to evolve,innovative strategies are emerging to enhance *** them,resistive random access memory(RRAM)has gained significant attention due to its numerousadvantages over traditional memory devices,including high speed(<1 ns),high density(4 F^(2)·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 *** 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 manysemiconductor ***,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 ***,the review discusses thecurrent challenges and provides insights into the prospects of embedded RRAM in the era of big data and artificial intelligence.

关键词： embedded resistive random access memory industrial manufacturing intelligent computing advanced process node

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