Long-memory retention and self-powered ultraviolet artificial synapses realized by multi-cation metal oxide semiconductors

Zheng, Lingyan; Zhou, Ruifu; Xin, Shuwen; Cong, Haofei; Qin, Yuanbin; Pang, Xu; Liu, Xuhai; Wang, Fengyun

doi:10.1039/d3tc01026k

Cited by 11 publications

(2 citation statements)

References 52 publications

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“…Analyzing and evaluating the visual connotation and quality of a landscape is crucial, forming an important aspect of landscape construction and management [6]. A study focusing on public landscape preferences in Norway used ordered logistic regression and machine learning to construct a structural subject-modeling analysis method, providing supporting data for landscape construction policy proposals while analyzing public landscape preferences [7]. In response to public perceptual preferences for forest landscapes, some researchers have modeled the aesthetic quality of forested areas using machine learning models, including support vector machines and multilayer perceptrons, thus offering guidance for ecological technology planting in woodland landscapes [8].…”

Section: Related Workmentioning

confidence: 99%

“…In addition, the building visibility is geometrically quantified accordingly using the building visibility index, which is the ratio of the buildings in the actual field of Land 2024, 13, 57 6 of 16 view to the area of the field of view. The computational expression of building visibility is shown in Equation (7).…”

Section: Deeplab V3+ Model Analysis and Quantitative Measurement Fram...mentioning

confidence: 99%

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Intentional Characteristics and Public Perceived Preferences of Lake Parks Based on Machine Learning Models

Wang,

Min,

Rui

2024

Land

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This research aimed to analyze and understand the perceived landscape preferences of lake parks (LPs) and how the public perceives and prefers these elements within the context of lake parks. The objective was to provide insights beneficial for landscape design, urban planning, and the creation of more appealing and sustainable lake parks. To achieve this, two primary methods were employed in this study: the Automated Machine Learning (Auto ML) model and the DeepLab v3+ model. To gather data for the research, 46,444 images were collected from 20 different lake parks from 2019 to 2022. Social media platforms such as Instagram, Flickr, and specific lake park community groups were tapped to source photographs from both professional photographers and the general public. According to the experimental findings, the perceived frequency of natural landscapes was 69.27%, which was higher than that of humanistic landscapes by 30.73%. The perceived intensity was also maintained between 0.09 and 0.25. The perceived frequency of water body landscapes was much greater on a macro-scale, at 73.02%, and the public had various plant preferences throughout the year. Aquatic plant landscapes with low-to-medium green visibility were preferred by the public, according to the landscape share characterization, while amusement rides with medium-to-high openness were preferred. The sky visibility of amusement rides was between 0 and 0.1 and between 0.3 and 0.5, indicating that the public preferred amusement rides with medium-to-high openness. In lake parks, the populace chose settings with less obvious architectural features. When combined, the two models used in this study are useful for identifying and analyzing the intended traits and preferences of lake parks among the general public. They also have theoretical and practical application value for directing the development of lake parks and urban landscapes.

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Section: Related Workmentioning

confidence: 99%

Section: Deeplab V3+ Model Analysis and Quantitative Measurement Fram...mentioning

confidence: 99%

Intentional Characteristics and Public Perceived Preferences of Lake Parks Based on Machine Learning Models

Wang,

Min,

Rui

2024

Land

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Oxide Based Pentachromatic‐Vision Inspired Optoelectronic Synaptic Transistor with Large Conduction States Over 512

Jeong,

Ma,

Park

et al. 2024

Adv Funct Materials

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Optoelectronic neuromorphic devices based on oxide semiconductors have been potentially investigated to mimic the functions of human visual synapses. However, the challenge comes from the wide bandgap characteristics of numerous oxide semiconductors, which restricts the response range of the device under ultra‐violet (UV) region. Strategies for widening the response range are mostly focused on artificially generating the defect states, however, most of them results in mimicking the tetrachromatic visual system from UV to visible light range. To be used for industries such as robotics, or autonomous vehicles, mimicking the tetrachromatic vision system should be overcome up to near‐infrared (NIR) region. Here, a facile solution processed indium‐gallium‐zinc‐oxide and silver oxide structured optoelectronic synaptic transistor is fabricated not only to mimic the function of human synapses, but to overcome the tetrachromatic human visual system up to the NIR region. The device not only showed photoresponse characteristics under the entire 405 to 830 nm wavelength region, but also showed significant synaptic behaviors with over 512 conduction states under a reasonable incident light power density of 4.5 mW cm−2. The results will offer a useful facile method for fabricating optoelectronic synaptic transistors that can overcome the tetrachromatic vision systems.

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Flexible electrolyte-gated transistor based on InZnSnO nanowires for self-adaptive applications

Zheng,

Liu,

Xin

et al. 2024

Applied Materials Today

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Long-memory retention and self-powered ultraviolet artificial synapses realized by multi-cation metal oxide semiconductors

Abstract: Via the low-cost electrospinning technique, we demonstrate artificial synaptic transistors made of multi-cation indium zinc tin oxide (IZTO) nanowires. By adjusting the ratio of indium ions in IZTO, we found...

Cited by 11 publications

References 52 publications

Intentional Characteristics and Public Perceived Preferences of Lake Parks Based on Machine Learning Models

Intentional Characteristics and Public Perceived Preferences of Lake Parks Based on Machine Learning Models

Oxide Based Pentachromatic‐Vision Inspired Optoelectronic Synaptic Transistor with Large Conduction States Over 512

Flexible electrolyte-gated transistor based on InZnSnO nanowires for self-adaptive applications

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