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Sub-nanosecond memristor based on ferroelectric tunnel junction | |
其他题名 | Sub-nanosecond memristor based on ferroelectric tunnel junction |
Ma, Chao1,2; Luo, Zhen1,2; Huang, Weichuan1,2; Zhao, Letian1,2; Chen, Qiaoling1,2; Lin, Yue1,2; Liu, Xiang1,2; Chen, Zhiwei1,2; Liu, Chuanchuan1,2; Sun, Haoyang1,2; Jin, Xi1,2; Yin, Yuewei1,2; Li, Xiaoguang1,2,3,4 | |
2020-03-18 | |
发表期刊 | NATURE COMMUNICATIONS |
ISSN | 2041-1723 |
通讯作者 | Yin, Yuewei(yyw@ustc.edu.cn) ; Li, Xiaoguang(lixg@ustc.edu.cn) |
摘要 | Next-generation non-volatile memories with ultrafast speed, low power consumption, and high density are highly desired in the era of big data. Here, we report a high performance memristor based on a Ag/BaTiO3/Nb:SrTiO3 ferroelectric tunnel junction (FTJ) with the fastest operation speed (600ps) and the highest number of states (32 states or 5 bits) per cell among the reported FTJs. The sub-nanosecond resistive switching maintains up to 358K, and the write current density is as low as 4x10(3)Acm(-2). The functionality of spike-timing-dependent plasticity served as a solid synaptic device is also obtained with ultrafast operation. Furthermore, it is demonstrated that a Nb:SrTiO3 electrode with a higher carrier concentration and a metal electrode with lower work function tend to improve the operation speed. These results may throw light on the way for overcoming the storage performance gap between different levels of the memory hierarchy and developing ultrafast neuromorphic computing systems. Memristor devices based on ferroelectric tunnel junctions are promising, but suffer from quite slow switching times. Here, the authors report on ultrafast switching times at and above room temperature of 600ps in Ag/BaTiO3/Nb:SrTiO3 based ferroelectric tunnel junctions. |
其他摘要 | Next-generation non-volatile memories with ultrafast speed, low power consumption, and high density are highly desired in the era of big data. Here, we report a high performance memristor based on a Ag 3 3 ferroelectric tunnel junction (FTJ) with the fastest operation speed (600?ps) and the highest number of states (32 states or 5 bits) per cell among the reported FTJs. The sub-nanosecond resistive switching maintains up to 358?K, and the write current density is as low as 4?×?10 3 ?A?cm ?2 . The functionality of spike-timing-dependent plasticity served as a solid synaptic device is also obtained with ultrafast operation. Furthermore, it is demonstrated that a Nb:SrTiO 3 electrode with a higher carrier concentration and a metal electrode with lower work function tend to improve the operation speed. These results may throw light on the way for overcoming the storage performance gap between different levels of the memory hierarchy and developing ultrafast neuromorphic computing systems. |
DOI | 10.1038/s41467-020-15249-1 |
关键词[WOS] | MEMORY ; ELECTRORESISTANCE ; FIELD |
收录类别 | SCI |
语种 | 英语 |
资助项目 | National Natural Science Foundation of China[51790491] ; National Natural Science Foundation of China[51622209] ; National Natural Science Foundation of China[21521001] ; National Natural Science Foundation of China[51972296] ; National Key Research and Development Program of China[2016YFA0300103] ; National Key Research and Development Program of China[2019YFA0307900] |
项目资助者 | National Natural Science Foundation of China ; National Key Research and Development Program of China |
WOS研究方向 | Science & Technology - Other Topics |
WOS类目 | Multidisciplinary Sciences |
WOS记录号 | WOS:000522032300016 |
出版者 | NATURE PUBLISHING GROUP |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.hfcas.ac.cn:8080/handle/334002/103584 |
专题 | 中国科学院合肥物质科学研究院 |
通讯作者 | Yin, Yuewei; Li, Xiaoguang |
作者单位 | 1.Univ Sci & Technol China, Dept Phys, Hefei Natl Lab Phys Sci Microscale, Hefei, Peoples R China 2.Univ Sci & Technol China, CAS Key Lab Strongly Coupled Quantum Matter Phys, Hefei, Peoples R China 3.Chinese Acad Sci, Inst Solid State Phys, Key Lab Mat Phys, Hefei, Peoples R China 4.Collaborat Innovat Ctr Adv Microstruct, Nanjing, Peoples R China |
推荐引用方式 GB/T 7714 | Ma, Chao,Luo, Zhen,Huang, Weichuan,et al. Sub-nanosecond memristor based on ferroelectric tunnel junction[J]. NATURE COMMUNICATIONS,2020,11. |
APA | Ma, Chao.,Luo, Zhen.,Huang, Weichuan.,Zhao, Letian.,Chen, Qiaoling.,...&Li, Xiaoguang.(2020).Sub-nanosecond memristor based on ferroelectric tunnel junction.NATURE COMMUNICATIONS,11. |
MLA | Ma, Chao,et al."Sub-nanosecond memristor based on ferroelectric tunnel junction".NATURE COMMUNICATIONS 11(2020). |
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