Lateral Structured Phototransistor Based on Mesoscopic Graphene/Perovskite Heterojunctions

Zhou, Danhong; Yu, Linfeng; Zhu, Peng; Zhao, Hongquan; Feng, Shuanglong; Shen, Jun

doi:10.3390/nano11030641

Cited by 7 publications

(7 citation statements)

References 41 publications

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“…The emergence of the middle energy band reduces the electron-phonon scattering rate from the conduction to the valence band. Therefore, more photogenerated electrons and secondary generated electrons can be captured in MGB, resulting in a longer lifetime of photogenerated carriers [52]. After doping CsPbBr 3 QDs, a heterostructure is formed between GNWs and CsPbBr 3 QDs.…”

Section: Laser Response Characteristics Of the Synaptic Devicementioning

confidence: 99%

CsPbBr3/graphene nanowall artificial optoelectronic synapses for controllable perceptual learning

Dong

Qian

et al. 2023

PhotoniX

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The rapid development of neuromorphic computing has stimulated extensive research interest in artificial synapses. Optoelectronic artificial synapses using laser beams as stimulus signals have the advantages of broadband, fast response, and low crosstalk. However, the optoelectronic synapses usually exhibit short memory duration due to the low lifetime of the photo-generated carriers. It greatly limits the mimicking of human perceptual learning, which is a common phenomenon in sensory interactions with the environment and practices of specific sensory tasks. Herein, a heterostructure optoelectronic synapse based on graphene nanowalls and CsPbBr3 quantum dots was fabricated. The graphene/CsPbBr3 heterojunction and the natural middle energy band in graphene nanowalls extend the carrier lifetime. Therefore, a long half-life period of photocurrent decay - 35.59 s has been achieved. Moreover, the long-term optoelectronic response can be controlled by the adjustment of numbers, powers, wavelengths, and frequencies of the laser pulses. Next, an artificial neural network consisting of a 28 × 28 synaptic array was established. It can be used to mimic a typical characteristic of human perceptual learning that the ability of sensory systems is enhanced through a learning experience. The learning behavior of image recognition can be tuned based on the photocurrent response control. The accuracy of image recognition keeps above 80% even under a low-frequency learning process. We also verify that less time is required to regain the lost sensory ability that has been previously learned. This approach paves the way toward high-performance intelligent devices with controllable learning of visual perception.

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Section: Laser Response Characteristics Of the Synaptic Devicementioning

confidence: 99%

CsPbBr3/graphene nanowall artificial optoelectronic synapses for controllable perceptual learning

Dong

Qian

et al. 2023

PhotoniX

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“…In 2021, D. Zhou et al increased the absorption of visible light in devices by incorporating organic metal halide perovskites into the porous structure of GNWs, improving the quantum conversion efficiency. 45 GNWs served as a photogenerated hole collection material and exhibited outstanding carrier transport capabilities, contributing to the enhanced performance of photogating effect-based detectors. The responsivity of the detector reached 2.0 × 10 3 A W −1 , and the detectivity was 7.2 × 10 10 Jones.…”

Section: Gnws-based Photodetectorsmentioning

confidence: 99%

“…The device structure and performance are shown in Fig. 17 45 GNWs served as a photogenerated hole collection material and exhibited outstanding carrier transport capabilities, contributing to the enhanced performance of photogating effect-based detectors. The responsivity of the detector reached 2.0 × 10 3 A W −1 , and the detectivity was 7.2 × 10 10 Jones.…”

Section: Gnws-based Photovoltaic Detectorsmentioning

confidence: 99%

“…With continuous optimization, these detectors have undergone iterative performance breakthroughs and have begun to excel in the eld of infrared detection. 37,[43][44][45] Since the inception of GNWs, devices utilizing this material have been employed in solar cells and sensor applications. Since the rst report on a GNWs-based photodetector by the authors' team in detection coverage has expanded from ultraviolet to visible light, and into infrared and even THz domains.…”

Section: Introductionmentioning

confidence: 99%

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Graphene nanowalls in photodetectors

et al. 2023

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“…The emergence of the middle energy band reduces the electron-phonon scattering rate from the conduction to the valence band. Therefore, more photogenerated electrons and secondary generated electrons can be captured in MGB, resulting in a longer lifetime of photogenerated carriers [38]. After doping CsPbBr3 QDs, a heterostructure is formed between GNWs and CsPbBr3 QDs.…”

Section: Laser Response Characteristics Of the Synaptic Devicementioning

confidence: 99%

CsPbBr3/graphene nanowall artificial optoelectronic synapses for controllable perceptual learning

Yue

Dong

et al. 2022

Preprint

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The rapid development of neuromorphic computing has stimulated extensive research interest in artificial synapses. Optoelectronic artificial synapses using laser beams as stimulus signals have the advantages of broadband, fast response, and low crosstalk. However, the optoelectronic synapses usually exhibit short memory duration due to the low lifetime of the photo-generated carriers. It greatly limits the mimicking of human perceptual learning, which is a common phenomenon in sensory interactions with the environment and practices of specific sensory tasks. Herein, a heterostructure optoelectronic synapse based on graphene nanowalls and CsPbBr 3 quantum dots was fabricated. The graphene/CsPbBr 3 heterojunction and the natural middle energy band in graphene nanowalls extend the carrier lifetime. Therefore, a long half-life period of photocurrent decay - 35.59 s has been achieved. Moreover, the long-term optoelectronic response can be controlled by the adjustment of numbers, powers, wavelengths, and frequencies of the laser pulses. Next, an artificial neural network consisting of a 28 × 28 synaptic array was established. It can be used to mimic a typical characteristic of human perceptual learning that the ability of sensory systems is enhanced through a learning experience. The learning behavior of image recognition can be tuned based on the photocurrent response control. The accuracy of the image recognition keeps above 80% even under a lowfrequency learning process. We also verify that less time is required to regain the lost sensory ability that has been previously learned. This approach paves the way toward high-performance intelligent devices with controllable learning of visual perception.

show abstract

Lateral Structured Phototransistor Based on Mesoscopic Graphene/Perovskite Heterojunctions

Cited by 7 publications

References 41 publications

CsPbBr3/graphene nanowall artificial optoelectronic synapses for controllable perceptual learning

CsPbBr3/graphene nanowall artificial optoelectronic synapses for controllable perceptual learning

Graphene nanowalls in photodetectors

CsPbBr3/graphene nanowall artificial optoelectronic synapses for controllable perceptual learning

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