An Artificial Synapse Based on CsPbI3 Thin Film
With the data explosion in the intelligent era; the traditional von Neumann computing system is facing great challenges of storage and computing speed. Compared to the neural computing system, the traditional computing system has higher consumption and slower speed. However; the feature size of the...
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| Format: | Article |
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MDPI AG
2022-02-01
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| Series: | Micromachines |
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| Online Access: | https://www.mdpi.com/2072-666X/13/2/284 |
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| author | Jia-Ying Chen Xin-Gui Tang Qiu-Xiang Liu Yan-Ping Jiang Wen-Min Zhong Fang Luo |
| author_facet | Jia-Ying Chen Xin-Gui Tang Qiu-Xiang Liu Yan-Ping Jiang Wen-Min Zhong Fang Luo |
| author_sort | Jia-Ying Chen |
| collection | DOAJ |
| description | With the data explosion in the intelligent era; the traditional von Neumann computing system is facing great challenges of storage and computing speed. Compared to the neural computing system, the traditional computing system has higher consumption and slower speed. However; the feature size of the chip is limited due to the end of Moore’s Law. An artificial synapse based on halide perovskite CsPbI<sub>3</sub> was fabricated to address these problems. The CsPbI<sub>3</sub> thin film was obtained by a one-step spin-coating method, and the artificial synapse with the structure of Au/CsPbI<sub>3</sub>/ITO exhibited learning and memory behavior similar to biological neurons. In addition, the synaptic plasticity was proven, including short-term synaptic plasticity (STSP) and long-term synaptic plasticity (LTSP). We also discuss the possibility of forming long-term memory in the device through changing input signals. |
| first_indexed | 2024-03-09T21:25:12Z |
| format | Article |
| id | doaj.art-f6588fa51ab04569944db4c459acb49b |
| institution | Directory Open Access Journal |
| issn | 2072-666X |
| language | English |
| last_indexed | 2024-03-09T21:25:12Z |
| publishDate | 2022-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Micromachines |
| spelling | doaj.art-f6588fa51ab04569944db4c459acb49b2023-11-23T21:11:30ZengMDPI AGMicromachines2072-666X2022-02-0113228410.3390/mi13020284An Artificial Synapse Based on CsPbI3 Thin FilmJia-Ying Chen0Xin-Gui Tang1Qiu-Xiang Liu2Yan-Ping Jiang3Wen-Min Zhong4Fang Luo5Guangzhou Higher Education Mega Center, School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou 510006, ChinaGuangzhou Higher Education Mega Center, School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou 510006, ChinaGuangzhou Higher Education Mega Center, School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou 510006, ChinaGuangzhou Higher Education Mega Center, School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou 510006, ChinaGuangzhou Higher Education Mega Center, School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou 510006, ChinaGuangzhou Higher Education Mega Center, School of Physics and Optoelectric Engineering, Guangdong University of Technology, Guangzhou 510006, ChinaWith the data explosion in the intelligent era; the traditional von Neumann computing system is facing great challenges of storage and computing speed. Compared to the neural computing system, the traditional computing system has higher consumption and slower speed. However; the feature size of the chip is limited due to the end of Moore’s Law. An artificial synapse based on halide perovskite CsPbI<sub>3</sub> was fabricated to address these problems. The CsPbI<sub>3</sub> thin film was obtained by a one-step spin-coating method, and the artificial synapse with the structure of Au/CsPbI<sub>3</sub>/ITO exhibited learning and memory behavior similar to biological neurons. In addition, the synaptic plasticity was proven, including short-term synaptic plasticity (STSP) and long-term synaptic plasticity (LTSP). We also discuss the possibility of forming long-term memory in the device through changing input signals.https://www.mdpi.com/2072-666X/13/2/284artificial synapselong-term synaptic plasticityshort-term synaptic plasticityhalide perovskite |
| spellingShingle | Jia-Ying Chen Xin-Gui Tang Qiu-Xiang Liu Yan-Ping Jiang Wen-Min Zhong Fang Luo An Artificial Synapse Based on CsPbI3 Thin Film Micromachines artificial synapse long-term synaptic plasticity short-term synaptic plasticity halide perovskite |
| title | An Artificial Synapse Based on CsPbI3 Thin Film |
| title_full | An Artificial Synapse Based on CsPbI3 Thin Film |
| title_fullStr | An Artificial Synapse Based on CsPbI3 Thin Film |
| title_full_unstemmed | An Artificial Synapse Based on CsPbI3 Thin Film |
| title_short | An Artificial Synapse Based on CsPbI3 Thin Film |
| title_sort | artificial synapse based on cspbi3 thin film |
| topic | artificial synapse long-term synaptic plasticity short-term synaptic plasticity halide perovskite |
| url | https://www.mdpi.com/2072-666X/13/2/284 |
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