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| Main Authors: | , , , , , , , , , , , , , , , , , , , , , |
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| Format: | Preprint |
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2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2401.16150 |
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| _version_ | 1866916109230276608 |
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| author | Li, Xiuzhen Qin, Biao Wang, Yaxian Xi, Yue Huang, Zhiheng Zhao, Mengze Peng, Yalin Chen, Zitao Pan, Zitian Zhu, Jundong Cui, Chenyang Yang, Rong Yang, Wei Meng, Sheng Shi, Dongxia Bai, Xuedong Liu, Can Li, Na Tang, Jianshi Liu, Kaihui Du, Luojun Zhang, Guangyu |
| author_facet | Li, Xiuzhen Qin, Biao Wang, Yaxian Xi, Yue Huang, Zhiheng Zhao, Mengze Peng, Yalin Chen, Zitao Pan, Zitian Zhu, Jundong Cui, Chenyang Yang, Rong Yang, Wei Meng, Sheng Shi, Dongxia Bai, Xuedong Liu, Can Li, Na Tang, Jianshi Liu, Kaihui Du, Luojun Zhang, Guangyu |
| contents | Ferroelectric materials with switchable electric polarization hold great promise for a plethora of emergent applications, such as post-Moore's law nanoelectronics, beyond-Boltzmann transistors, non-volatile memories, and above-bandgap photovoltaic devices. Recent advances have uncovered an exotic sliding ferroelectric mechanism, which endows to design atomically thin ferroelectrics from non-ferroelectric parent monolayers. Although notable progress has been witnessed in understanding its fundamental properties, functional devices based on sliding ferroelectrics, the key touchstone toward applications, remain elusive. Here, we demonstrate the rewritable, non-volatile memory devices at room-temperature utilizing a two-dimensional (2D) sliding ferroelectric semiconductor of rhombohedral-stacked bilayer molybdenum disulfide. The 2D sliding ferroelectric memories (SFeMs) show superior performances with a large memory window of >8V, a high conductance ratio of above 106, a long retention time of >10 years, and a programming endurance greater than 104 cycles. Remarkably, flexible SFeMs are achieved with state-of-the-art performances competitive to their rigid counterparts and maintain their performances post bending over 103 cycles. Furthermore, synapse-specific Hebbian forms of plasticity and image recognition with a high accuracy of 97.81% are demonstrated based on flexible SFeMs. Our work demonstrates the sliding ferroelectric memories and synaptic plasticity on both rigid and flexible substrates, highlighting the great potential of sliding ferroelectrics for emerging technological applications in brain-inspired in-memory computing, edge intelligence and energy-efficient wearable electronics. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2401_16150 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Sliding ferroelectric memories and synapses Li, Xiuzhen Qin, Biao Wang, Yaxian Xi, Yue Huang, Zhiheng Zhao, Mengze Peng, Yalin Chen, Zitao Pan, Zitian Zhu, Jundong Cui, Chenyang Yang, Rong Yang, Wei Meng, Sheng Shi, Dongxia Bai, Xuedong Liu, Can Li, Na Tang, Jianshi Liu, Kaihui Du, Luojun Zhang, Guangyu Mesoscale and Nanoscale Physics Ferroelectric materials with switchable electric polarization hold great promise for a plethora of emergent applications, such as post-Moore's law nanoelectronics, beyond-Boltzmann transistors, non-volatile memories, and above-bandgap photovoltaic devices. Recent advances have uncovered an exotic sliding ferroelectric mechanism, which endows to design atomically thin ferroelectrics from non-ferroelectric parent monolayers. Although notable progress has been witnessed in understanding its fundamental properties, functional devices based on sliding ferroelectrics, the key touchstone toward applications, remain elusive. Here, we demonstrate the rewritable, non-volatile memory devices at room-temperature utilizing a two-dimensional (2D) sliding ferroelectric semiconductor of rhombohedral-stacked bilayer molybdenum disulfide. The 2D sliding ferroelectric memories (SFeMs) show superior performances with a large memory window of >8V, a high conductance ratio of above 106, a long retention time of >10 years, and a programming endurance greater than 104 cycles. Remarkably, flexible SFeMs are achieved with state-of-the-art performances competitive to their rigid counterparts and maintain their performances post bending over 103 cycles. Furthermore, synapse-specific Hebbian forms of plasticity and image recognition with a high accuracy of 97.81% are demonstrated based on flexible SFeMs. Our work demonstrates the sliding ferroelectric memories and synaptic plasticity on both rigid and flexible substrates, highlighting the great potential of sliding ferroelectrics for emerging technological applications in brain-inspired in-memory computing, edge intelligence and energy-efficient wearable electronics. |
| title | Sliding ferroelectric memories and synapses |
| topic | Mesoscale and Nanoscale Physics |
| url | https://arxiv.org/abs/2401.16150 |