International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT)最新文献_第9页

Zoom lens with large aperture and long focal length in the integration system of detection and recognition 在检测识别集成系统中采用大光圈长焦距变焦镜头

International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) Pub Date : 2021-12-13 DOI: 10.1117/12.2604746

Rui Yao, Xu-yang Li, Zixuan Ma, Zhi-guang Ren, Nanqing Chu

引用次数: 0

Design of a line-scanning dispersive objective lens for chromatic confocal displacement sensor 彩色共焦位移传感器用线扫描色散物镜的设计

International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) Pub Date : 2021-12-13 DOI: 10.1117/12.2604571

Tingting Huang, Jie Yang, Tao Ma

引用次数: 0

A new optical polarizing prism extinction ratio measurement method based on heterodyne-detecting 一种基于外差检测的偏振棱镜消光比测量新方法

International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) Pub Date : 2021-12-13 DOI: 10.1117/12.2604853

Zhen-dong Shi, Hua Ma, Lin Zhang, Jinxi Bai, Yi Yang, Huan Ren, Liqun Chai

引用次数: 0

The research on optical free-form metrology technologies 光学自由曲面计量技术的研究

International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) Pub Date : 2021-12-13 DOI: 10.1117/12.2604995

Xinxue Ma, Jianli Wang, Bin Wang, Xinyue Liu, Hongwen Li

引用次数: 1

Conjugated polymer film fabricated by in situ electro-chemical polymerization as effective interface modification material in organic solar cells 原位电化学聚合法制备共轭聚合物薄膜作为有机太阳能电池的有效界面改性材料

International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) Pub Date : 2021-12-13 DOI: 10.1117/12.2604414

R. Wang, Dayong Zhang, Genjie Yang, Junsheng Yu

引用次数: 0

Surface passivation of active layer by introducing sodium alginate for high-performance perovskite photodetectors 引入海藻酸钠对高性能钙钛矿光电探测器活性层的表面钝化

International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) Pub Date : 2021-12-13 DOI: 10.1117/12.2603956

Genjie Yang, Dayong Zhang, Jiawen Li, Junsheng Yu

{"title":"Surface passivation of active layer by introducing sodium alginate for high-performance perovskite photodetectors","authors":"Genjie Yang, Dayong Zhang, Jiawen Li, Junsheng Yu","doi":"10.1117/12.2603956","DOIUrl":"https://doi.org/10.1117/12.2603956","url":null,"abstract":"Recently, organic metal halide perovskites have attracted wide attention in the field of photovoltaic devices due to series of excellent photoelectric properties. However, the device performance is limited by a large number of surface defects in the perovskite film. Finding an effective method for defect passivation of perovskite film is considered to be a preferred strategy to further improve the performance of perovskite photovoltaic devices. Here, we use an organic metal salt, sodium alginate (SA), to passivate the surface defects of perovskite films to prepare high-performance perovskite photodetectors (PePDs). We find that the introduction of SA can improve the quality of perovskite active layer and passivate the surface defects effectively, which reduce the carrier recombination probability to increase the photocurrent and reduce the dark current of the PePDs. And the detectivity (D*) at 600 nm reaches 3.6×1012 Jones, three times that of the controlled devices. Meanwhile, the PePDs doped with sodium alginate have better stability and device life, which remains 82% of the original performance after being placed in the atmosphere for 7 days. These results indicate that it is an effective strategy to passivate perovskite film with organic metal salt to prepare high-performance PePDs.","PeriodicalId":236529,"journal":{"name":"International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT)","volume":"33 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125876525","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Design of broadband and monolayer terahertz metasurface absorber with genetic algorithm optimization 基于遗传算法优化的宽带单层太赫兹超表面吸收器设计

International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) Pub Date : 2021-12-13 DOI: 10.1117/12.2604481

Ming Zhang, Qian Cheng, Yinjin Wu, Dongfang Chen, Ze Ma, Congwu Li

{"title":"Design of broadband and monolayer terahertz metasurface absorber with genetic algorithm optimization","authors":"Ming Zhang, Qian Cheng, Yinjin Wu, Dongfang Chen, Ze Ma, Congwu Li","doi":"10.1117/12.2604481","DOIUrl":"https://doi.org/10.1117/12.2604481","url":null,"abstract":"Terahertz (THz) absorbers have drawn great attention due to their potential applications in high-resolution imaging systems, sensing, and imaging. In particular, metasurface-based THz absorbers have exhibited the exotic advantage in high efficiency and broad bandwidth benefitted from the excellent abilities of metasurface in flexible modulating electromagnetic (EM) waves. However, the interactions between metasurface and EM waves are complex, and the metasurface-based absorbers have many structural parameters to optimize for high performance. Therefore, the absorbers are constrained by the manual design process with limited geometry complexity and tedious parameters sweeping. In this paper, the genetic algorithm (GA) is employed to the design of THz metasurface absorber. The EM responses of metasurface device is calculated by a simple yet powerful analytic method derived from catenary field. The employment of GA can achieve the automatic design process and demand-oriented reverse design for high performance and decreasing time consumption. As a proof-of-concept, the broadband and monolayer metasurface terahertz absorber with absorbance exceeding 80% in the frequency range from 1 to 4 THz is designed by the proposed strategy based on five typical types of metasurface. The investigations of this article present important guidance and a promising approach to design and optimize metasurface-based devices for their practical applications.","PeriodicalId":236529,"journal":{"name":"International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT)","volume":"80 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"125480125","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Lithographic exposure latitude aware source and mask optimization 平版曝光纬度感知源和掩模优化

International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) Pub Date : 2021-12-13 DOI: 10.1117/12.2604844

Lulu Zou, Lihui Liu, Yiyu Sun, Pengzhi Wei, Miao Yuan, Zhaoxuan Li, Yaning Li, Yanqiu Li

引用次数: 1

In-situ measurement technology of robotic polishing system 机器人抛光系统的原位测量技术

International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) Pub Date : 2021-12-13 DOI: 10.1117/12.2604749

Wen Wang

{"title":"In-situ measurement technology of robotic polishing system","authors":"Wen Wang","doi":"10.1117/12.2604749","DOIUrl":"https://doi.org/10.1117/12.2604749","url":null,"abstract":"With vigorous development of modern optical manufacturing in the direction of intelligence and precision, coupled with the continuous increase in the diameter of optical components and continuous improvement of precision requirements, industrial robot polishing technology has a wide range of application scenarios and broad development space in the field of optical manufacturing. The integration of processing and measurement is a key technology to improve the reliability and intelligence of precision manufacturing. Therefore, the research and development of in-situ measurement technology has become an important trend in the field of optical manufacturing. A measurement method based on deflectometry is a type of surface gradient measurement method that has been proposed and developed in recent years. Due to the advantages of superior simplicity, stability, and high dynamic range, it is promising for the in-situ measurement of optical surfaces. Based on monoscopic deflectometry, this paper develops an in-situ measurement device for industrial robot polishing system. The key problems of phase decoupling and optical path correction of transparent components are being researched, and high-precision double-surface measurement of transparent optical elements is realized, which is of great significance to the intelligent manufacturing of key optical elements.","PeriodicalId":236529,"journal":{"name":"International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131868687","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0

Position prediction of the oyster adductor muscle based on YOLOv3 algorithm 基于YOLOv3算法的牡蛎内收肌位置预测

International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT) Pub Date : 2021-12-13 DOI: 10.1117/12.2604732

Chao Ma, K. Cheng, Jun Liu, Shu-Wei Xu, J. Han

{"title":"Position prediction of the oyster adductor muscle based on YOLOv3 algorithm","authors":"Chao Ma, K. Cheng, Jun Liu, Shu-Wei Xu, J. Han","doi":"10.1117/12.2604732","DOIUrl":"https://doi.org/10.1117/12.2604732","url":null,"abstract":"Oyster is one of the largest cultured shellfish in the world, though it remains a challenge to shuck oysters automatically by mechanical systems, which has attracted interests of research for a long time. We design a low-cost high-temperature steam beam to heat the adductor muscle attachment area with high precision to shuck the oysters. This approach, compared to the overall heating processes, causes much less damage to the quality and physiological structure of the oysters. The key issue of our method lies in locating the adductor muscle outside of the shells as there is no obvious feature of judgment due to the irregular shapes and variant sizes of the oysters. To this end, we proposed a deep learning method for predicting the position of the adductor muscle based on the YOLOv3 algorithm. In this paper, we establish an image dataset containing 520 oyster pictures, 120 of which are labeled pictures. These images are trained in the deployment environment of GTX 1060. Experiments show that the accuracy of the model is up to 99.5%, the prediction accuracy of the adductor muscle position reaches 79.17%, and the average time to detect one single image is around 0.03s.","PeriodicalId":236529,"journal":{"name":"International Symposium on Advanced Optical Manufacturing and Testing Technologies (AOMATT)","volume":"47 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132652466","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0