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Super-Flexible, Transparent Synaptic Transistors Based on Pullulan for Neuromorphic Electronics

Xu Han, Junru Zhang, Tao Zeng, Xiaoli Zhao, Juntong Li, Hongying Sun, Yi Cao, Yanhong Tong, Qingxin Tang, Yichun Liu

2023IEEE Electron Device Letters15 citationsDOI

Abstract

With the development of artificial intelligence, super-flexibility and transparent neuromorphic electronics are gradually showing high application value in the fields of wearable see-through electronics and biomedical applications. However, it is still a huge problem to realize synaptic devices with super-flexibility and transparent characteristics. Here, an organic synaptic transistor (OST) based on natural pullulan is fabricated with super-flexibility and high transmittance ( <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"> <tex-math notation="LaTeX">$\sim $ </tex-math></inline-formula> 83.3%), which enables it to achieve conformal and non-destructive attachment to arbitrary-shaped objects without affecting viewing. Various synaptic behaviors are successfully simulated even under extreme bending, showing outstanding mechanical stability. Moreover, our OSTs can achieve ultrarapid degradation in ambient water, which will reduce the generation of electronic waste. This work provides a guide for the development of super-flexible and transparent neuromorphic electrons, demonstrating a great step toward next-generation artificial intelligence.

Topics & Concepts

Neuromorphic engineeringElectronicsPullulanTransistorFlexible electronicsFlexibility (engineering)Computer scienceMaterials scienceThin-film transistorElectronic engineeringOptoelectronicsArtificial intelligenceArtificial neural networkElectrical engineeringNanotechnologyEngineeringLayer (electronics)MathematicsChemistryBiochemistryStatisticsVoltagePolysaccharideAdvanced Memory and Neural ComputingAdvanced Sensor and Energy Harvesting MaterialsAdvanced Materials and Mechanics
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