Multilayered PtSe2/pyramid-Si heterostructure array with light confinement effect for high-performance photodetection, image sensing and light trajectory tracking applications

Author(s):  
Mengru Ma ◽  
Huahan Chen ◽  
Kunnan Zhou ◽  
Chao Xie ◽  
Yi Liang ◽  
...  

A multilayered PtSe2/pyramid-Si heterostructure-based photodetector array consisting of 8×8 device units shows excellent optoelectrical performance with potential applications in NIR image sensing and real-time light trajectory tracking.

2020 ◽  
Vol 8 (39) ◽  
pp. 13762-13769
Author(s):  
Jing-Wei Kang ◽  
Chao Zhang ◽  
Kai-Jun Cao ◽  
Yu Lu ◽  
Chun-Yan Wu ◽  
...  

A high-performance γ-In2Se3/GaAs heterostructure-based photodetector linear array shows potential in optoelectronic applications such as real-time light trajectory tracking and image sensing.


2017 ◽  
Vol 737 ◽  
pp. 198-205
Author(s):  
Tae Hee Kim ◽  
Jin Chul Kim ◽  
Bong Kuk Seo

Waterborne poly(carbonate urethane) dispersions (WPCUDs) have received much attention from both academia and the chemical industry due to their potential applications in high-performance volatile organic compound-free coatings and adhesives. Commercially, both the long-term stability and the mechanical properties of WPCUDs are extremely important because these are closely related to the storage life of the product. This study provides a detailed, real-time investigation into the dispersion stability of WPCUDs. Various WPCUDs with different ionic contents and containing polyols of different molecular weights were prepared, and their dispersion stabilities were monitored in real-time using Turbiscan measurements. The effect of temperature and concentration on dispersion stability was also examined. The thermal and mechanical properties of WPCUD were characterized by thermogravimetric analysis, differential scanning calorimetry, and universal testing machine, and the data were correlated to the dispersion stability data.


2014 ◽  
Vol 25 (4) ◽  
pp. 279-287 ◽  
Author(s):  
Stefan Hey ◽  
Panagiota Anastasopoulou ◽  
André Bideaux ◽  
Wilhelm Stork

Ambulatory assessment of emotional states as well as psychophysiological, cognitive and behavioral reactions constitutes an approach, which is increasingly being used in psychological research. Due to new developments in the field of information and communication technologies and an improved application of mobile physiological sensors, various new systems have been introduced. Methods of experience sampling allow to assess dynamic changes of subjective evaluations in real time and new sensor technologies permit a measurement of physiological responses. In addition, new technologies facilitate the interactive assessment of subjective, physiological, and behavioral data in real-time. Here, we describe these recent developments from the perspective of engineering science and discuss potential applications in the field of neuropsychology.


Author(s):  
Muhammad Faris Roslan ◽  
◽  
Afandi Ahmad ◽  
Abbes Amira ◽  
◽  
...  

2020 ◽  
Vol 16 (4) ◽  
pp. 462-477 ◽  
Author(s):  
Patrizia Bocchetta ◽  
Domenico Frattini ◽  
Miriana Tagliente ◽  
Filippo Selleri

By collecting and analyzing relevant literature results, we demonstrate that the nanostructuring of polypyrrole (PPy) electrodes is a crucial strategy to achieve high performance and stability in energy devices such as fuel cells, lithium batteries and supercapacitors. In this critic and comprehensive review, we focus the attention on the electrochemical methods for deposition of PPy, nanostructures and potential applications, by analyzing the effect of different physico-chemical parameters, electro-oxidative conditions including template-based or template-free depositions and cathodic polymerization. Diverse interfaces and morphologies of polymer nanodeposits are also discussed.


Nanoscale ◽  
2021 ◽  
Author(s):  
Di Wu ◽  
Chenguang Guo ◽  
Zhaoyang Wang ◽  
Xiaoyan Ren ◽  
Yong-Zhi Tian ◽  
...  

Broadband photodetection is of vital importance for both civil and technological applications. The widespread use of commercial photodiodes based on traditional semiconductors (e.g. GaN, Si, and InGaAs) is limited to...


Author(s):  
Yuchen Luo ◽  
Yi Zhang ◽  
Ming Liu ◽  
Yihong Lai ◽  
Panpan Liu ◽  
...  

Abstract Background and aims Improving the rate of polyp detection is an important measure to prevent colorectal cancer (CRC). Real-time automatic polyp detection systems, through deep learning methods, can learn and perform specific endoscopic tasks previously performed by endoscopists. The purpose of this study was to explore whether a high-performance, real-time automatic polyp detection system could improve the polyp detection rate (PDR) in the actual clinical environment. Methods The selected patients underwent same-day, back-to-back colonoscopies in a random order, with either traditional colonoscopy or artificial intelligence (AI)-assisted colonoscopy performed first by different experienced endoscopists (> 3000 colonoscopies). The primary outcome was the PDR. It was registered with clinicaltrials.gov. (NCT047126265). Results In this study, we randomized 150 patients. The AI system significantly increased the PDR (34.0% vs 38.7%, p < 0.001). In addition, AI-assisted colonoscopy increased the detection of polyps smaller than 6 mm (69 vs 91, p < 0.001), but no difference was found with regard to larger lesions. Conclusions A real-time automatic polyp detection system can increase the PDR, primarily for diminutive polyps. However, a larger sample size is still needed in the follow-up study to further verify this conclusion. Trial Registration clinicaltrials.gov Identifier: NCT047126265


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