An Organic Ferroelectric Synaptic Transistor
Abstract Poly(vinylidene-trifluoroethylene) [P(VDF-TrFE)] copolymer films generally demonstrate limited compatibility with organic semiconductors. The material is frequently compromised by exposure to organic semiconductor solutions and other fabrication processes utilized in the production of organic ferroelectric transistors. In this study, an organic ferroelectric field effect transistor (OFeFET) with the 6,13-Bis(triisopropylsilylethynyl) pentacene (TIPS-pentacene) channel is fabricated, in which the aluminum oxide (Al 2 O 3 ) interlayer is used to improve compatibility. The device displays polymorphic memory and synaptic plasticity of long-term potentiation and depression. Furthermore, an artificial neural network constructed using our devices is simulated to succeed in recognizing the MNIST handwritten digit database with a high accuracy of 92.8%. This research offers a viable approach to enhance the compatibility of the organic ferroelectric polymer P(VDF-TrFE) with organic semiconductors.
Authors
- Junhao Chu (ORCID: https://orcid.org/0000-0003-1867-9296)
- Guangdi Feng
- Weihong Yang (ORCID: https://orcid.org/0000-0002-1837-5439)
- Bobo Tian (ORCID: https://orcid.org/0000-0002-4251-2755)
- Chun‐Gang Duan (ORCID: https://orcid.org/0000-0002-5380-4980)
- Zhenyu Feng (ORCID: https://orcid.org/0000-0001-5484-1831)
- Qiuxiang Zhu (ORCID: https://orcid.org/0000-0002-3515-315X)
- Wei Li (ORCID: https://orcid.org/0000-0002-2227-9431)
- Xiangjian Meng (ORCID: https://orcid.org/0000-0003-4178-9362)
- Jiahao Wu (ORCID: https://orcid.org/0000-0003-2053-562X)
- Xiaojun Guo
Institutions
- Chongqing Normal University (CN)
- Shanxi University (CN)
- Shanghai Jiao Tong University (CN)
- Chinese Academy of Sciences (CN)
- Shanghai Institute of Technical Physics (CN)
- Shanghai Center for Brain Science and Brain-Inspired Technology (CN)
- East China Normal University (CN)
Publication Details
- Journal
- Chinese Physics Letters
- Published
- 2025-04-14
- DOI
- https://doi.org/10.1088/0256-307x/42/5/056302
- Primary Topic
- Advanced Memory and Neural Computing
- Type
- article
- Field-Weighted Citation Impact
- 0.00