Natural polyelectrolyte-based ultraflexible photoelectric synaptic transistors for hemispherical high-sensitive neuromorphic imaging system

Zhang, Cong; Xu, Fan; Zhao, Xiaoli; Zhang, Mingxin; Han, Wenjuan; Hong, Yu; Wang, Shuya; Yang, Yahan; Tong, Yanhong; Tang, Qingxin; Liu, Yichun

doi:10.1016/j.nanoen.2022.107001

Cited by 37 publications

(42 citation statements)

References 54 publications

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“…[21] However, vertical photodiode types-based OPSs have never been reported. [22][23][24] In this article, highperformance multifunctional organic photodiodes with a structure of ITO/CuSCN/active layer/PDINO/Al were fabricated to integrate photo-detection and photo-synapse functions in one device. To the best of our knowledge, this is also the first vertical photodiode types-based OPS.…”

Section: Introductionmentioning

confidence: 99%

Multifunctional Organic Vertical Photodiodes for Photo‐Detection and Photo‐Synapse Enabled by Modulation of the Interface Energy Barrier

Liu

Lin

et al. 2022

Advanced Optical Materials

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Multifunctional organic optoelectronic devices are of great significance for the development of low‐energy consumption and space‐constrained systems. Herein, multifunctional organic photodiodes integrating transient light detection and photo‐synaptic functions in one device are unprecedentedly achieved upon readily changing the direction of the external bias. Under negative bias, the devices exhibit excellent photodetection performance with high shot‐noise‐limited specific detectivity (Dsh∗\[D_{sh}^*\] > 1013 Jones) in the range from ultraviolet, visible, to near infrared and large linear dynamic range (188 dB at 915 nm), which are among the best organic photodetectors. Interestingly, the photodiode devices change to work as organic photosynapses upon tuning the external bias to be positive. Associative learning behavior is successfully simulated in an all‐optical way, while high image recognition accuracy (>80%) is realized based on artificial neural network. The mechanism studies reveal that the interface energy barrier is critical for achieving the multi‐function in one device. Finally, the universality of electrically switchable transient light detection and photo‐synaptic functions is further studied. This work provides a novel method for constructing vertical diode‐type organic optical synapses and developing multifunctional organic electronics.

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Section: Introductionmentioning

confidence: 99%

Multifunctional Organic Vertical Photodiodes for Photo‐Detection and Photo‐Synapse Enabled by Modulation of the Interface Energy Barrier

Liu

Lin

et al. 2022

Advanced Optical Materials

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“…This polymer semiconductor was selected to fabricate stretchable photonic synapses for the following reasons: (i) persistent photoconductivity behavior. Different from the conventional interface trappinginduced strategy, [35][36][37][38] which is usually based on ion gels or polar insulants as the dielectric layer and faces unstable work states. We used the oxygen-induced persistent photoconductivity behavior of organic semiconductors to realize the photonic synaptic behavior, which is mainly influenced by the oxygeninduced deep levels in the energy bandgap of the organic semiconductor.…”

Section: Resultsmentioning

confidence: 99%

Intrinsically stretchable photonic synaptic transistors for retina-like visual image systems

Zhang

Zhao

et al. 2022

J. Mater. Chem. C

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“…At a low pulse voltage (−100 mV), the devices could simulate a wide variety of synaptic plasticity behaviors, such as short‐term‐to‐long‐term memory transition, paired pulse promotion, and the learning and forgetting process of the brain. Zhang et al [ 138 ] utilized a natural acidic polyelectrolyte as the dielectric layer and fabricated ultraflexible photoelectric synaptic transistors with the thickness of 475 nm (Figure 8c). The devices like biological retina could fit seamlessly to the 3D concave hemispherical surface and meanwhile possess high‐sensitive neuromorphic imaging function.…”

Section: Unique Characteristics Of Biomemristors For Biorealistic App...mentioning

confidence: 99%

“…c) Orange peel pectin-based ultraflexible organic synaptic transistors with the thickness of 475 nm for high-sensitive hemispherical neuromorphic imaging systems. Reproduced with permission [138]. Copyright 2022, Elsevier Ltd.…”

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confidence: 99%

Memristors with Biomaterials for Biorealistic Neuromorphic Applications

Zhao

Wang

et al. 2022

Small Science

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Electronic devices with biomaterials have paved a way toward “green electronics” to create a sustainable future. Memristors are drawing growing attention with integrated sensing, memory, and computing for future artificial intelligence applications. Biomaterial is an emerging class of memristive materials (the device is called as biomemristor) for transient and/or biodegradable purpose. Importantly, several unique features such as faithful synaptic behaviors, bimodal switching, and biovoltage operations are observed in biomemristors. Moreover, the biomemristors are suitable for human‐related applications due to the inherent biocompatibility of biomaterials and flexibility of the device with ultrathin thickness. These features make the biomemristors promising for biorealistic neuromorphic applications. Herein, the state of the art of biomemristors are comprehensively summarized and systematically discussed with particular attention on their unique biorealistic features. Challenges and prospects toward the further development of biomemristors are also provided and discussed.

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Natural polyelectrolyte-based ultraflexible photoelectric synaptic transistors for hemispherical high-sensitive neuromorphic imaging system

Cited by 37 publications

References 54 publications

Multifunctional Organic Vertical Photodiodes for Photo‐Detection and Photo‐Synapse Enabled by Modulation of the Interface Energy Barrier

Multifunctional Organic Vertical Photodiodes for Photo‐Detection and Photo‐Synapse Enabled by Modulation of the Interface Energy Barrier

Intrinsically stretchable photonic synaptic transistors for retina-like visual image systems

Memristors with Biomaterials for Biorealistic Neuromorphic Applications

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