Advances in materials and devices for mimicking sensory adaptation

He, Zihan; Ye, Dekai; Liu, Liyao; Di, Chong‐an; Zhu, Daoben

doi:10.1039/d1mh01111a

Cited by 21 publications

(22 citation statements)

References 90 publications

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“…Assuming that the data of all three variables in Group A3 conform to the normal distribution, the Shapiro-wilk test is performed with SPSS, it can be seen from the results in Table 1 that the significance probability of the three variables are 0.853, 0.353, and 0.491, respectively, which are all higher than the general significant level of 0.05, so the original hypothesis can be accepted. That is, the data of temperature, Ethanol conversion Rate and C4 Olefin Selectivity under the combination of A3 catalysts are in accordance with approximate normal distribution [8].…”

Section: Methodssupporting

confidence: 61%

Chemical Synthesis Data Modeling Based on Mathematical Optimization

Wang

Lin

Liang

et al. 2022

Wireless Communications and Mobile Computing

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As one of the most important high value-added raw materials in the chemical industry, the synthesis of C4 Olefin by ethanol coupling was of great significance in the field of the chemical industry. Different catalysts and various conditions have different effects on the chemical reaction. This paper is based on the relevant data set. Firstly, Pearson and Spearman correlation coefficient method and corresponding hypothesis test are used to get the influence of different catalysts on the chemical reaction. Ethanol conversion and C4 Olefin selectivity are positively correlated with temperature. Secondly, a multivariate linear regression model with significant core variables is constructed to investigate the effects of catalyst combination and temperature on ethanol conversion and C4 Olefin selectivity. It can be concluded that the ethanol concentration is greatly affected by temperature and CO loading, and there is a positive and negative correlation between ethanol concentration and CO loading. The selectivity of C4 Olefin is affected by temperature and is positively correlated with the charge ratio of CO/SiO2 and HAP. Finally, by using a multiple regression equation and simulated annealing model, it can be obtained that when the loading of CO is 4.75 wt%, the loading ratio of CO/SiO2 and HAP is 1 : 1.4242, the concentration of ethanol is 0.3658 ml/min, and the temperature is 448.21°C, the loading ratio of CO/SiO2 and HAP is 1 : 1.4242, the concentration of ethanol is 0.3658 ml/min, and the temperature is 448.21°C, the yield of C4 Olefin can reach a higher value.

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Section: Methodssupporting

confidence: 61%

Chemical Synthesis Data Modeling Based on Mathematical Optimization

Wang

Lin

Liang

et al. 2022

Wireless Communications and Mobile Computing

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“…In-sensor computing can be realized by rational device design with careful materials engineering. Environmental adaptation has been demonstrated using this strategy . For example, a bioinspired organic transistor was designed with two functionally complementary bulk-heterojunctions to realize active adaptation to light intensities .…”

Section: Discussionmentioning

confidence: 99%

Technology Roadmap for Flexible Sensors

et al. 2023

Self Cite

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Humans rely increasingly on sensors to address grand challenges and to improve quality of life in the era of digitalization and big data. For ubiquitous sensing, flexible sensors are developed to overcome the limitations of conventional rigid counterparts. Despite rapid advancement in bench-side research over the last decade, the market adoption of flexible sensors remains limited. To ease and to expedite their deployment, here, we identify bottlenecks hindering the maturation of flexible sensors and propose promising solutions. We first analyze challenges in achieving satisfactory sensing performance for real-world applications and then summarize issues in compatible sensor-biology interfaces, followed by brief discussions on powering and connecting sensor networks. Issues en route to commercialization and for sustainable growth of the sector are also analyzed, highlighting environmental concerns and emphasizing nontechnical issues such as business, regulatory, and ethical considerations. Additionally, we look at future intelligent flexible sensors. In proposing a comprehensive roadmap, we hope to steer research efforts towards common goals and to guide coordinated development strategies from disparate communities. Through such collaborative efforts, scientific breakthroughs can be made sooner and capitalized for the betterment of humanity.

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“…These biological photoreceptors have a low dynamic range for light detection compared with current electronic image detectors; such a range is disadvantageous for high-resolution image recognition. However, in practice, the human retina can clearly recognize objects in a much wider range of light (from much darker to much brighter) than electronic image sensors by using visual adaptation functions [ 94 ]. There are two cases of biological visual adaptation for accurate image recognition in different ambient-light environments: photopic adaptation and scotopic adaptation.…”

Section: Advanced Applications Of Neuromorphic Vision Sensorsmentioning

confidence: 99%

Progress of Materials and Devices for Neuromorphic Vision Sensors

Cho

Jo²,

Kim³

et al. 2022

Nano-Micro Lett.

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The latest developments in bio-inspired neuromorphic vision sensors can be summarized in 3 keywords: smaller, faster, and smarter. (1) Smaller: Devices are becoming more compact by integrating previously separated components such as sensors, memory, and processing units. As a prime example, the transition from traditional sensory vision computing to in-sensor vision computing has shown clear benefits, such as simpler circuitry, lower power consumption, and less data redundancy. (2) Swifter: Owing to the nature of physics, smaller and more integrated devices can detect, process, and react to input more quickly. In addition, the methods for sensing and processing optical information using various materials (such as oxide semiconductors) are evolving. (3) Smarter: Owing to these two main research directions, we can expect advanced applications such as adaptive vision sensors, collision sensors, and nociceptive sensors. This review mainly focuses on the recent progress, working mechanisms, image pre-processing techniques, and advanced features of two types of neuromorphic vision sensors based on near-sensor and in-sensor vision computing methodologies. "Image missing"

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Advances in materials and devices for mimicking sensory adaptation

Abstract: Adaptive devices, which aim to adjusting electrical behaviors autonomically to external stimuli, are considered to be attractive candidate for next generation of artificial perception systems. Compared with typical electronic devices...

Cited by 21 publications

References 90 publications

Chemical Synthesis Data Modeling Based on Mathematical Optimization

Chemical Synthesis Data Modeling Based on Mathematical Optimization

Technology Roadmap for Flexible Sensors

Progress of Materials and Devices for Neuromorphic Vision Sensors

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