Stretchable synaptic transistors with tunable synaptic behavior
| Autor: | Yuan Liu, Enlong Li, Yaqian Liu, Zhixian Lin, Tailiang Guo, Dengxiao Lai, Xiumei Wang, Yujie Yan, Huipeng Chen |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Materials science
Renewable Energy Sustainability and the Environment business.industry Stretchable electronics Transistor 02 engineering and technology Deformation (meteorology) 010402 general chemistry 021001 nanoscience & nanotechnology 01 natural sciences 0104 chemical sciences Memory behavior law.invention Semiconductor Neuromorphic engineering law Mechanical stability Optoelectronics General Materials Science Electrical and Electronic Engineering 0210 nano-technology business |
| Zdroj: | Nano Energy. 75:104952 |
| ISSN: | 2211-2855 |
| DOI: | 10.1016/j.nanoen.2020.104952 |
| Popis: | Stretchable synaptic transistors (SSTs) are of paramount importance for the development of soft machines and neuromorphic systems. Unfortunately, the reports about SSTs are very limited and more importantly, the impact of the mechanical deformations that occur in stretchable electronics during practical applications, on the behavior of SSTs has never been reported. In this work, a simple and universal method was introduced to fabricate a stretchable organic synaptic transistor using wavy networks P3HT nanofibers as a semiconductor and the effect of mechanical deformation on its behavior at different deformation states is investigated for the first time. Our SSTs exhibited excellent mechanical stability even after experiencing large stretching deformation. More importantly, our results demonstrated that the learning and memory behavior, and the decay constants of synaptic transistors, which are among the most important parameters for biologic sensory neurons, can be tuned by mechanical deformation, which is associated with mechanical deformation dependant ion transport in ion-gel. These results offer a promising direction for utilizing mechanical deformation to develop different functional devices. Our SSTs with tunable synaptic behavior can facilitate the development of wearable and implantable artificial neuromorphic systems and soft machines. |
| Databáze: | OpenAIRE |
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