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Liu X, Dai S, Zhao W, Zhang J, Guo Z, Wu Y, Xu Y, Sun T, Li L, Guo P, Yang J, Hu H, Zhou J, Zhou P, Huang J. All-Photolithography Fabrication of Ion-Gated Flexible Organic Transistor Array for Multimode Neuromorphic Computing. Adv Mater 2024:e2312473. [PMID: 38385598 DOI: 10.1002/adma.202312473] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 11/21/2023] [Revised: 02/17/2024] [Indexed: 02/23/2024]
Abstract
Organic ion-gated transistors (OIGTs) demonstrate commendable performance for versatile neuromorphic systems. However, due to the fragility of organic materials to organic solvents, efficient and reliable all-photolithography methods for scalable manufacturing of high-density OIGT arrays with multimode neuromorphic functions are still missing, especially when all active layers are patterned in high-density. Here, a flexible high-density (9662 devices per cm2 ) OIGT array with high yield and minimal device-to-device variation is fabricated by a modified all-photolithography method. The unencapsulated flexible array can withstand 1000 times' bending at a radius of 1 mm, and 3 months' storage test in air, without obvious performance degradation. More interesting, the OIGTs can be configured between volatile and nonvolatile modes, suitable for constructing reservoir computing systems to achieve high accuracy in classifying handwritten digits with low training costs. This work proposes a promising design of organic and flexible electronics for affordable neuromorphic systems, encompassing both array and algorithm aspects.
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Affiliation(s)
- Xu Liu
- School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Shilei Dai
- School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Weidong Zhao
- School of Electronic and Information Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Junyao Zhang
- School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Ziyi Guo
- School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Yue Wu
- School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Yutong Xu
- School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Tongrui Sun
- School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Li Li
- School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Pu Guo
- School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Jie Yang
- School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Huawei Hu
- State Key Laboratory for Modification of Chemical Fibers and Polymer Materials, College of Materials Science and Engineering, Donghua University, Shanghai, 201620, P. R. China
| | - Junhe Zhou
- School of Electronic and Information Engineering, Tongji University, Shanghai, 201804, P. R. China
| | - Peng Zhou
- State Key Laboratory of ASIC and System, School of Microelectronics, Zhangjiang Fudan International Innovation Center, Fudan University, Shanghai, 200433, P. R. China
| | - Jia Huang
- School of Materials Science and Engineering, Tongji University, Shanghai, 201804, P. R. China
- National Key Laboratory of Autonomous Intelligent Unmanned Systems, Tongji University, Shanghai, 201804, P. R. China
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Wang B, Yang D, Chang Z, Zhang R, Dai J, Fang Y. Wearable bioelectronic masks for wireless detection of respiratory infectious diseases by gaseous media. Matter 2022; 5:4347-4362. [PMID: 36157685 PMCID: PMC9484046 DOI: 10.1016/j.matt.2022.08.020] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2022] [Revised: 07/07/2022] [Accepted: 08/16/2022] [Indexed: 05/17/2023]
Abstract
Respiratory infectious diseases (H1N1, H5N1, COVID-19, etc.) are pandemics that can continually spread in the air through micro-droplets or aerosols. However, the detection of samples in gaseous media is hampered by the requirement for trace amounts and low concentrations. Here, we develop a wearable bioelectronic mask device integrated with ion-gated transistors. Based on the sensitive gating effect of ion gels, our aptamer-functionalized transistors can measure trace-level liquid samples (0.3 μL) and even gaseous media samples at an ultra-low concentration (0.1 fg/mL). The ion-gated transistor with multi-channel analysis can respond to multiple targets simultaneously within as fast as 10 min, especially without sample pretreatment. Integrating a wireless internet of things system enables the wearable mask to achieve real-time and on-site detection of the surrounding air, providing an alert before infection. The wearable bioelectronic masks hold promise to serve as an early warning system to prevent outbreaks of respiratory infectious diseases.
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Affiliation(s)
- Bingfang Wang
- Research Center for Translational Medicine, Shanghai East Hospital affiliated to Tongji University, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai 200120, China
| | - Deqi Yang
- Research Center for Translational Medicine, Shanghai East Hospital affiliated to Tongji University, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai 200120, China
| | - Zhiqiang Chang
- Research Center for Translational Medicine, Shanghai East Hospital affiliated to Tongji University, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai 200120, China
| | - Ru Zhang
- Research Center for Translational Medicine, Shanghai East Hospital affiliated to Tongji University, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Arrhythmias of the Ministry of Education of China, Shanghai East Hospital affiliated to Tongji University, Shanghai 200120, China
| | - Jing Dai
- Research Center for Translational Medicine, Shanghai East Hospital affiliated to Tongji University, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai 200120, China
| | - Yin Fang
- Research Center for Translational Medicine, Shanghai East Hospital affiliated to Tongji University, The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai 200120, China
- Key Laboratory of Arrhythmias of the Ministry of Education of China, Shanghai East Hospital affiliated to Tongji University, Shanghai 200120, China
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