Publications by authors named "Qinyong Dai"

The rapid advancement of artificial intelligence has driven the demand for hardware solutions of neuromorphic pathways to effectively mimic biological functions of the human visual system. However, current machine vision systems (MVSs) fail to fully replicate retinal functions and lack the ability to update weights through all-optical pulses. Here, by employing rational interface charge engineering via varying the charge trapping layer thickness of PMMA, we determine that the ferroelectric polarization of our ferroelectric neuristors can be flexibly manipulated through light or electrical pulses.

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The classification of critical physiological signals using neuromorphic devices is essential for early disease detection. Physical reservoir computing (RC), a lightweight temporal processing neural network, offers a promising solution for low-power, resource-constrained hardware. Although solution-processed memcapacitive reservoirs have the potential to improve power efficiency as a result of their ultralow static power consumption, further advancements in synaptic tunability and reservoir states are imperative to enhance the capabilities of RC systems.

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Article Synopsis
  • The brain can change its structure and function dynamically, using a special neuron-synapse setup that improves learning efficiency.
  • An organic neuristor, which interacts with a specific dielectric layer, enables flexible memory and processing capabilities, supporting different learning styles.
  • This technology shows strong performance in tasks like recognizing images and sounds, reaching high accuracy rates, and contributes to building efficient AI systems.
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One-dimensional nanowire structures composed of perovskite are widely recognized for their exceptional optoelectronic performance and mechanical properties, making them a popular area of investigation in photodetection research. In this work, a perovskite nanowire/copper phthalocyanine heterojunction-based photodetector was fabricated, which exhibits high photoresponse in the visible-near-infrared region. The incorporation of a heterojunction significantly enhanced the photoelectric performance.

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Narrow-band photodetectors based on halide perovskite have recently attracted significant attention due to their exceptional narrow-band detection performance and tunable absorption peaks covering a wide optical range. In this work, we report mixed-halide CHNHPbClBrsingle crystal-based photodetectors have been fabricated, where the Cl/Br ratios were varied (3:0, 10:1, 5:1, 1:1, 1:7, 1:14 and 0:3). Vertical and parallel structures devices were fabricated which exhibited ultranarrow spectral responses under bottom illumination, with a full-width at half-maximum less than 16 nm.

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The human visual system (HVS) has the advantages of a low power consumption and high efficiency because of the synchronous perception and early preprocessing of external image information in the retina, as well as parallel in-memory computing within the visual cortex. Realizing the biofunction simulation of the retina and visual cortex in a single device structure provides opportunities for performance improvements and machine vision system (MVS) integration. Here, we fabricate organic ferroelectric retinomorphic neuristors that integrate the retina-like preprocessing function and recognition of the visual cortex in a single device architecture.

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As an important classification of photodetectors, broad spectral photodiodes are ubiquitous in the fields of industry and scientific research. Here, we reported a type of broad spectral organic-inorganic hybrid photodiodes (OIHPDs) based on planar-bulk heterojunction, which composed of 3,4,9,10-perylenetertracarboxylic dianhydride (PTCDA), copper phthalocyanine (CuPc) and fullerene (C). In our research, the dark current of the OIHPD with 10 nm C film (10 nm-C OIHPD) was as low as 25.

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Immunogenicity and safety of the human papillomavirus (HPV)-16/18 AS04-adjuvanted vaccine were evaluated in healthy Chinese females aged 9-45 years in 2 phase IIIB, randomized, controlled trials. Girls aged 9-17 years (ClinicalTrials.gov, NCT00996125) received vaccine (n = 374) or control (n = 376) and women aged 26-45 years (NCT01277042) received vaccine (n = 606) or control (n = 606) at months 0, 1, and 6.

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Synopsis of recent research by authors named "Qinyong Dai"

  • - Qinyong Dai's recent research primarily focuses on the development and optimization of neuromorphic computing technologies and novel optoelectronic devices, aiming for efficiency and adaptability in various applications, including biosignal classification and visual recognition systems.
  • - His work with organic neuristors and memcapacitive synapses emphasizes energy-efficient learning mechanisms, illustrating how reconfigurable architectures can enhance task-specific performance through dynamic plasticity and low-power consumption.
  • - Dai also explores advanced photodetector technologies, notably perovskite-based devices and mixed-halide configurations, which demonstrate exceptional optoelectronic properties and narrow-band detection capabilities, contributing significantly to advancements in imaging and sensing applications.