Advances of embedded resistive random access memory in industrial manufacturing and its potential applications
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...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
IOP Publishing
2024-01-01
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| Series: | International Journal of Extreme Manufacturing |
| Subjects: | |
| Online Access: | https://doi.org/10.1088/2631-7990/ad2fea |
| _version_ | 1797249017225150464 |
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| author | Zijian Wang Yixian Song Guobin Zhang Qi Luo Kai Xu Dawei Gao Bin Yu Desmond Loke Shuai Zhong Yishu Zhang |
| author_facet | Zijian Wang Yixian Song Guobin Zhang Qi Luo Kai Xu Dawei Gao Bin Yu Desmond Loke Shuai Zhong Yishu Zhang |
| author_sort | Zijian Wang |
| collection | DOAJ |
| description | 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 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 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. |
| first_indexed | 2024-04-24T20:23:47Z |
| format | Article |
| id | doaj.art-6e31c8eb107f48faa4fd7b2d6078a4a3 |
| institution | Directory Open Access Journal |
| issn | 2631-7990 |
| language | English |
| last_indexed | 2024-04-24T20:23:47Z |
| publishDate | 2024-01-01 |
| publisher | IOP Publishing |
| record_format | Article |
| series | International Journal of Extreme Manufacturing |
| spelling | doaj.art-6e31c8eb107f48faa4fd7b2d6078a4a32024-03-22T06:13:49ZengIOP PublishingInternational Journal of Extreme Manufacturing2631-79902024-01-016303200610.1088/2631-7990/ad2feaAdvances of embedded resistive random access memory in industrial manufacturing and its potential applicationsZijian Wang0https://orcid.org/0009-0002-0566-2970Yixian Song1Guobin Zhang2Qi Luo3Kai Xu4Dawei Gao5Bin Yu6Desmond Loke7Shuai Zhong8Yishu Zhang9College 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 ChinaCollege 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 ChinaCollege 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 ChinaCollege 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 ChinaCollege 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 ChinaCollege 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 ChinaCollege 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 ChinaDepartment of Science, Mathematics and Technology, Singapore University of Technology and Design , Singapore 487372, SingaporeGuangdong Institute of Intelligence Science and Technology , Hengqin, Zhuhai 519031, People’s Republic of ChinaCollege 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 ChinaEmbedded 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 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 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.https://doi.org/10.1088/2631-7990/ad2feaembedded resistive random access memoryindustrial manufacturingintelligent computingadvanced process node |
| spellingShingle | Zijian Wang Yixian Song Guobin Zhang Qi Luo Kai Xu Dawei Gao Bin Yu Desmond Loke Shuai Zhong Yishu Zhang Advances of embedded resistive random access memory in industrial manufacturing and its potential applications International Journal of Extreme Manufacturing embedded resistive random access memory industrial manufacturing intelligent computing advanced process node |
| title | Advances of embedded resistive random access memory in industrial manufacturing and its potential applications |
| title_full | Advances of embedded resistive random access memory in industrial manufacturing and its potential applications |
| title_fullStr | Advances of embedded resistive random access memory in industrial manufacturing and its potential applications |
| title_full_unstemmed | Advances of embedded resistive random access memory in industrial manufacturing and its potential applications |
| title_short | Advances of embedded resistive random access memory in industrial manufacturing and its potential applications |
| title_sort | advances of embedded resistive random access memory in industrial manufacturing and its potential applications |
| topic | embedded resistive random access memory industrial manufacturing intelligent computing advanced process node |
| url | https://doi.org/10.1088/2631-7990/ad2fea |
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