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Overview of KAGRA : Data transfer and management

Progress of Theoretical and Experimental Physics 2023年第10期2023卷

作者： Akutsu, T Ando, M Arai, K Arai, Y Araki, S Araya, A Aritomi, N Asada, H Aso, Y Bae, S Bae, Y Baiotti, L Bajpai, R Barton, M A Cannon, K Cao, Z Capocasa, E Chan, M Chen, C Chen, K Chen, Y Chiang, C-Y Chu, H Chu, Y-K Eguchi, S Enomoto, Y Flaminio, R Fujii, Y Fujikawa, Y Fukunaga, M Fukushima, M Gao, D Ge, G Ha, S Hagiwara, A Haino, S Han, W-B Hasegawa, K Hattori, K Hayakawa, H Hayama, K Himemoto, Y Hiranuma, Y Hirata, N Hirose, E Hong, Z Hsieh, B Huang, G-Z Huang, H-Y Huang, P Huang, Y-C Huang, Y Hui, D C Y Ide, S Ikenoue, B Imam, S Inayoshi, K Inoue, Y Ioka, K Ito, K Itoh, Y Izumi, K Jeon, C Jin, H-B Jung, K Jung, P Kaihotsu, K Kajita, T Kakizaki, M Kamiizumi, M Kanda, N Kang, G Kawaguchi, K Kawai, N Kawasaki, T Kim, C Kim, J Kim, J C Kim, W S Kim, Y-M Kimura, N Kita, N Kitazawa, H Kobayashi, Y Kojima, Y Kokeyama, K Komori, K Kong, A K H Kotake, K Kozakai, C Kozu, R Kumar, R Kume, J Kuo, C Kuo, H-S Kuromiya, Y Kuroyanagi, S Kusayanagi, K Kwak, K Lee, H K Lee, H W Lee, R Leonardi, M Li, K L Lin, L C-C Lin, C-Y Lin, F-K Lin, F-L Lin, H L Liu, G C Luo, L-W Majorana, E Marchio, M Michimura, Y Mio, N Miyakawa, O Miyamoto, A Miyazaki, Y Miyo, K Miyoki, S Mori, Y Morisaki, S Moriwaki, Y Nagano, K Nagano, S Nakamura, K Nakano, H Nakano, M Nakashima, R Nakayama, Y Narikawa, T Naticchioni, L Negishi, R Quynh, L Nguyen Ni, W-T Nishizawa, A Nozaki, S Obuchi, Y Ogaki, W Oh, J J Oh, K Oh, S H Ohashi, M Ohashi, T Ohishi, N Ohkawa, M Ohta, H Okutani, Y Okutomi, K Oohara, K Ooi, C Oshino, S Otabe, S Pan, K Pang, H Parisi, A Park, J Arellano, F E Peña Pinto, I Sago, N Saito, S Saito, Y Sakai, K Sakai, Y Sakuno, Y Sasaki, Y Sato, S Sato, T Sawada, T Sekiguchi, T Sekiguchi, Y Shao, L Shibagaki, S Shimizu, R Shimoda, T Shimode, K Shinkai, H Shishido, T Shoda, A Somiya, K Son, E J Sotani, H Sugimoto, R Suresh, J Suzuki, T Tagoshi, H Takahashi, H Takahashi, R Takamori, A Takano, S Takeda, H Takeda, M Tanaka, H Tanaka, K Tanaka, T Tanioka, S Martin, E N Tapia San Telada, S Tomaru, T Tomigami, Y Tomura, T Travasso, F Trozzo, L Tsang, T Ts Gravitational Wave Science Project National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Advanced Technology Center National Astronomical Observatory of Japan (NAOJ) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Department of Physics The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Research Center for the Early Universe (RESCEU) The University of Tokyo 7-3-1 Hongo Bunkyo-ku Tokyo 113-0033 Japan Institute for Cosmic Ray Research (ICRR) KAGRA Observatory The University of Tokyo 5-1-5 Kashiwa-no-Ha Kashiwa City Chiba 277-8582 Japan Accelerator Laboratory High Energy Accelerator Research Organization (KEK) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Earthquake Research Institute The University of Tokyo 1-1-1 Yayoi Bunkyo-ku Tokyo 113-0032 Japan Department of Mathematics and Physics Hirosaki University 3 Bunkyo-cho Hirosaki City Aomori 036-8561 Japan Kamioka Branch National Astronomical Observatory of Japan (NAOJ) 238 Higashi-Mozumi Kamioka-cho Hida City Gifu 506-1205 Japan The Graduate University for Advanced Studies (SOKENDAI) 2-21-1 Osawa Mitaka City Tokyo 181-8588 Japan Korea Institute of Science and Technology Information (KISTI) 245 Daehak-ro Yuseong-gu Daejeon 34141 Korea National Institute for Mathematical Sciences 70 Yuseong-daero 1689 Beon-gil Yuseong-gu Daejeon 34047 Korea International College Osaka University 1-1 Machikaneyama-cho Toyonaka City Osaka 560-0043 Japan School of High Energy Accelerator Science The Graduate University for Advanced Studies (SOKENDAI) 1-1 Oho Tsukuba City Ibaraki 305-0801 Japan Department of Astronomy Beijing Normal University No. 19 Xinjiekou Street Beijing 100875 China Department of Applied Physics Fukuoka University 8-19-1 Nanakuma Jonan Fukuoka City Fukuoka 814-0180 Japan Department of Physics Tamkang University No. 151 Yingzhuan Rd. Danshui Dist. New Taipei City 25137 Taiwan Department of Physics and Institute of Astronomy Nation

KAGRA is a newly built gravitational wave observatory, a laser interferometer with a 3 km arm length, located in Kamioka, Gifu prefecture, Japan. In this article, we describe the KAGRA data management system, i.e., recording of data, transfer from the KAGRA experiment site to computing resources, as well as data distribution to tier sites, including international sites in Taiwan and Korea. The amount of KAGRA data exceeded 1.0 PiB and increased by about 1.5 TB per day during operation in 2020. Our system has succeeded in data management, and has achieved performance that can withstand observations after 2023, that is, a transfer rate of 20 MB s-1or more and file storage of sufficient capacity for petabyte class. We also discuss the sharing of data between the global gravitational-wave detector network with other experiments, namely LIGO and Virgo. The latency, which consists of calculation of calibrated strain data and transfer time within the global network, is very important from the view of multi-messenger astronomy using gravitational waves. Real-time calbrated data delivered from the KAGRA detector site and other detectors to our computing system arrive with about 4–15 seconds of latency. These latencies are sufficiently short compared to the time taken for gravitational wave event search computations. We also established a high-latency exchange of offline calibrated data that was aggregated with a better accuracy compared with real-time data.

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Satellite-relayed intercontinental quantum network

arXiv

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arXiv 2018年

作者： Liao, Sheng-Kai Cai, Wen-Qi Handsteiner, Johannes Liu, Bo Yin, Juan Zhang, Liang Rauch, Dominik Fink, Matthias Ren, Ji-Gang Liu, Wei-Yue Li, Yang Shen, Qi Cao, Yuan Li, Feng-Zhi Wang, Jian-Feng Huang, Yong-Mei Deng, Lei Xi, Tao Ma, Lu Hu, Tai Li, Li Liu, Nai-Le Koidl, Franz Wang, Peiyuan Chen, Yu-Ao Wang, Xiang-Bin Steindorfer, Michael Kirchner, Georg Lu, Chao-Yang Shu, Rong Ursin, Rupert Scheidl, Thomas Peng, Cheng-Zhi Wang, Jian-Yu Zeilinger, Anton Pan, Jian-Wei Hefei National Laboratory for Physical Sciences at the Microscale and Department of Modern Physics University of Science and Technology of China Hefei230026 China Center for Excellence Synergetic Innovation Center in Quantum Information and Quantum Physics University of Science and Technology of China Shanghai201315 China Vienna Center for Quantum Science and Technology Faculty of Physics University of Vienna Vienna1090 Austria Institute for Quantum Optics and Quantum Information Austrian Academy of Sciences Vienna1090 Austria School of Computer National University of Defense Technology Changsha410073 China Key Laboratory of Space Active Opto-Electronic Technology Shanghai Institute of Technical Physics Chinese Academy of Sciences Shanghai200083 China National Astronomical Observatories Chinese Academy of Sciences Beijing100012 China Key Laboratory of Optical Engineering Institute of Optics and Electronics Chinese Academy of Sciences Chengdu610209 Shanghai Engineering Center for Microsatellites Shanghai201203 China State Key Laboratory of Astronautic Dynamics Xi'an Satellite Control Center Xi’an710061 China Xinjiang Astronomical Observatory Chinese Academy of Sciences Urumqi830011 China National Space Science Center Chinese Academy of Sciences Beijing100080 China Space Research Institute Austrian Academy of Sciences Graz8042 Austria

We perform decoy-state quantum key distribution between a low-Earth-orbit satellite and multiple ground stations located in Xinglong, Nanshan, and Graz, which establish satellite-to-ground secure keys with ~kHz rate per passage of the satellite Micius over a ground station. The satellite thus establishes a secure key between itself and, say, Xinglong, and another key between itself and, say, Graz. Then, upon request from the ground command, Micius acts as a trusted relay. It performs bitwise exclusive OR operations between the two keys and relays the result to one of the ground stations. That way, a secret key is created between China and Europe at locations separated by 7600 km on Earth. These keys are then used for intercontinental quantum-secured communication. This was on the one hand the transmission of images in a one-time pad configuration from China to Austria as well as from Austria to China. Also, a videoconference was performed between the Austrian Academy of Sciences and the Chinese Academy of Sciences, which also included a 280 km optical ground connection between Xinglong and Beijing. Our work points towards an efficient solution for an ultra-long-distance global quantum network, laying the groundwork for a future quantum internet. Copyright © 2018, The Authors. All rights reserved.

关键词： Satellites

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controllable decoration of Au NPs on zinc oxide nanorods template by magnetron sputtering technique for reusable-SERS active surface enhancement

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AIP Conference Proceedings 2018年第1期2010卷

作者： Nampueng Pangpaiboon Thosapol Amsiri Sukon Kalasung Chanunthorn Chananonnawathorn Viyapol Patthanasettakul Mati Horprathum Noppadon Nuntawong Saksorn Limwichean Pitak Eiamchai 1Department of Industrial Physics and Medical Instrumentation Faculty of Applied Science King Mongkut’s University of Technology North Bangkok Bangkok10800 Thailand 2Optical Thin-Film Technology Laboratory National Electronics and Computer Technology Center Pathumthani 12121 Thailand 3Carbon-based Devices and Nanoelectronics Laboratory National Electronics and Computer Technology Center Pathumthani 12121 Thailand

Surface Enhanced Raman Scattering (SERS) is a new invention developed to expand the Raman signal. The SERS chip has a performance to enhance the Raman signal up to a million times. Nevertheless, the chip has some disadvantages which are high cost and it is disposable device. In this research, the controllable decoration of gold nanoparticles on zinc oxide nanorods template for a reusable SERS chip is investigated. Time periods to decorate gold particles are controlled by using DC magnetron sputtering technique from 15 to 450 s. The zinc oxide nanostructures are grown by hydrothermal. The physical structures of the reusable SERS chip are analyzed by Field Emission Scanning Electron Microscope (FE-SEM). The sizes and thicknesses of the gold particles attached to the ZnO nanorods are measured from FE-SEM images. The efficiency to amplify Raman signal of the reusable SERS chip is tested by dropping methylene blue (MB). UV light is used to activate self-cleaning property of the reusable SERS chip. From the results, sputtering gold nanoparticles for 270 s shows the highest performance to amplify Raman signal of methylene blue, up to 1 × 10−6 M, however; it takes 450 minutes of UV cleaning before reuse again. On the other hand, sputtering gold nanoparticles for 15 s shows the fastest clean surface after UV cleaning, though the chip can amplify the Raman signal up to 1×10−5 M.

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Flatness pattern recognition via EA-ABC cloud inference network implemented by DSP 35

Flatness pattern recognition via EA-ABC cloud inference netw...

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第35届中国控制会议

作者： Zhang Xiuling Gao Wuyang Lai Yongjin Cheng Yantao Hou Daibiao Key Laboratory of Industrial Computer Control Engineering of Hebei Province Yanshan University National Engineering Research Center for Equipment and Technology of Cold Strip Rolling Yanshan University

ISBN: (纸本)9781509009107

The present flatness pattern recognition method based on neural network belongs to software simulation,and it can't be directly applied to engineering ***'s more,the accuracy of present flatness pattern recognition is *** order to improve it,flatness pattern recognition via EA-ABC cloud inference network implemented by digital signal processor(DSP) is presented in this ***,based on T-S cloud inference network,flatness pattern recognition model is designed in *** it is applied to 900 HC reversible cold rolling ***,flatness pattern recognition model optimized by efficient adaptive artificial bee colony(EA-ABC) algorithm is ***,the two results of flatness pattern recognition model,which run onMATLAB and DSP respectively,are compared and *** results confirm that EA- ABC algorithm has such advantages:high optimizing precision,less number of iterations,fast speed of *** pattern recognition model via EA-ABC cloud inference network can identify the defect types of flatness *** the same time,the experimental results verify that the T-S cloud inference network can run on the hardware TI TMS320F2812 in a fast speed and it provide a basis for neural network which is applied to practical engineering.

关键词： T-S cloud inference network flatness pattern recognition DSP hardware implementation EA-ABC algorithm

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The fabrication of PDMS polymer templates on aluminum sheet by laser marking in micro-nano structure scale for surface-enhanced Raman spectroscopy (SERS)

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AIP Conference Proceedings 2018年第1期2010卷

作者： W. Koetniyom P. Somboonsaksri S. Kalasung C. Chananonnawathorn V. Patthanasettakul M. Horprathum N. Nuntawong S. Limwichean P. Eiamchai 1Department of Industrial Physics and Medical Instrumentation Faculty of Applied Science King Mongkut’s University of Technology North Bangkok Bangkok Thailand 2Lasers and Optics Research Center (LANDOS) King Mongkut’s University of Technology North Bangkok Bangkok 10800 Thailand 3Optical Thin-Film Technology Laboratory National Electronics and Computer Technology Center Pathumthani 12121 Thailand 4Carbon-based Devices and Nanoelectronics Laboratory National Electronics and Computer Technology Center Pathumthani 12121 Thailand

This research proposes the fabrication of Surface Enhanced Raman Spectroscopy (SERS) templates from Polydimethylsiloxane (PDMS) polymer. PDMS polymer template was cast on aluminum sheet pattern that was engraved by laser marking in micro-nano structure scale with various laser engraved frequency from 30 to 90 kHz. After prepared PDMS templates, a sputtering system is used to decorate the template with silver nanoparticles for 30 seconds in order to promote the SERS-active surface. The achievement testing of the enhanced Raman signal template is conducted with Methylene Blue (MB) as the molecules. The results showed that the SERS performance could enhanced the Raman signals as high as at 1 × 10−6 M of MB concentration and the optimum laser frequency of the SERS is 30 kHz. This also clearly indicates that the powerful Surface Enhanced Raman Spectroscopy template can be made from PDMS which is a lower cost than silicon and easy to use.

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Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM_2·5 air pollution, 1990–2019: an analysis of data from the Global Burden of Disease Study 2019

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The Lancet Planetary Health 2022年第7期6卷 e586-e600页

作者： Burkart, Katrin Causey, Kate Cohen, Aaron J Wozniak, Sarah S Salvi, Devashri Digvijay Abbafati, Cristiana Adekanmbi, Victor Adsuar, Jose C Ahmadi, Keivan Alahdab, Fares Al-Aly, Ziyad Alipour, Vahid Alvis-Guzman, Nelson Amegah, Adeladza Kofi Andrei, Catalina Liliana Andrei, Tudorel Ansari, Fereshteh Arabloo, Jalal Aremu, Olatunde Aripov, Timur Babaee, Ebrahim Banach, MacIej Barnett, Anthony Bärnighausen, Till Winfried Bedi, Neeraj Behzadifar, Masoud Béjot, Yannick Bennett, Derrick A Bensenor, Isabela M Bernstein, Robert S Bhattacharyya, Krittika Bijani, Ali Biondi, Antonio Bohlouli, Somayeh Breitner, Susanne Brenner, Hermann Butt, Zahid A Cámera, Luis Alberto Cantu-Brito, Carlos Carvalho, Felix Cerin, Ester Chattu, Vijay Kumar Chauhan, Bal Govind Choi, Jee-Young Jasmine Chu, Dinh-Toi Dai, Xiaochen Dandona, Lalit Dandona, Rakhi Daryani, Ahmad Davletov, Kairat De Courten, Barbora Demeke, Feleke Mekonnen Denova-Gutiérrez, Edgar Dharmaratne, Samath Dhamminda Dhimal, Meghnath Diaz, Daniel Djalalinia, Shirin Duncan, Bruce B El Sayed Zaki, Maysaa Eskandarieh, Sharareh Fareed, Mohammad Farzadfar, Farshad Fattahi, Nazir Fazlzadeh, Mehdi Fernandes, Eduarda Filip, Irina Fischer, Florian Foigt, Nataliya A Freitas, Marisa Ghashghaee, Ahmad Gill, Paramjit Singh Ginawi, Ibrahim Abdelmageed Gopalani, Sameer Vali Guo, Yuming Gupta, Rajat Das Habtewold, Tesfa Dejenie Hamadeh, Randah R Hamidi, Samer Hankey, Graeme J Hasanpoor, Edris Hassen, Hamid Yimam Hay, Simon I Heibati, Behzad Hole, Michael K Hossain, Naznin Househ, Mowafa Irvani, Seyed Sina Naghibi Jaafari, Jalil Jakovljevic, Mihajlo Jha, Ravi Prakash Jonas, Jost B Jozwiak, Jacek Jerzy Kasaeian, Amir Kaydi, Neda Khader, Yousef Saleh Khafaie, Morteza Abdullatif Khan, Ejaz Ahmad Khan, Junaid Khan, Md Nuruzzaman Khatab, Khaled Khater, Amir M Kim, Yun Jin Kimokoti, Ruth W Kisa, Adnan Kivimäki, Mika Knibbs, Luke D Kosen, Soewarta Koul, Parvaiz A Koyanagi, Ai Defo, Barthelemy Kuate Kugbey, Nuworza Lauriola, Paolo Lee, Paul H Leili, Mostafa Lewycka, Sonia Li, Shanshan Lim, Lee-Ling Li Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Division of Plastic and Reconstructive Surgery University of Washington Seattle WA United States Research Insights and Innovation Seattle WA United States Health Effects Institute Boston MA United States School of Public Health Boston University Boston MA United States Department of Juridical and Economic Studies La Sapienza University Rome Italy Department of Population Medicine Cardiff University Cardiff United Kingdom Sport Science Department University of Extremadura Badajoz Spain School of Public Health Imperial College London London United Kingdom Department of Primary Care and Public Health Imperial College London London United Kingdom Mayo Evidence-based Practice Center Mayo Clinic Foundation for Medical Education and Research Rochester MN United States John T. Milliken Department of Internal Medicine Washington University in St. Louis St. Louis MO United States Clinical Epidemiology Center US Department of Veterans Affairs (VA) St Louis MO United States Health Management and Economics Research Center Iran University of Medical Sciences Tehran Iran Department of Health Economics Iran University of Medical Sciences Tehran Iran Preventive Medicine and Public Health Research Center Iran University of Medical Sciences Tehran Iran Pars Advanced and Minimally Invasive Medical Manners Research Center Iran University of Medical Sciences Tehran Iran Department of Community and Family Medicine Iran University of Medical Sciences Tehran Iran Research Group in Hospital Management and Health Policies Universidad de la Costa (University of the Coast) Barranquilla Colombia Research Group in Health Economics University of Cartagena Cartagena Colombia Department of Biomedical Science University of Cape Coast Cape Coast Ghana Cardiology Department Ca

Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM_2·5 originating from ambient and household air pollution. Methods: We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM_2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM_2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM_2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. Findings: In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM_2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South Am

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Measurement-based Massive-MIMO Channel Characterization for Outdoor LoS Scenarios

Measurement-based Massive-MIMO Channel Characterization for ...

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International Symposium on Personal, Indoor, and Mobile Radio Communications

作者： Le Hao Xuefeng Yin José Rodriguez-Pineiro Bo Ai Zhimeng Zhong College of Electronics and Information Engineering Tongji University Shanghai China National Computer and Information Technology Practical Education Demonstration Center Tongji University Shanghai China State Key Laboratory of Rail Traffic Control and Safety Beijing Jiaotong University Beijing China Huawei Technologies Ltd. Shanghai China

Massive multiple-input multiple-output (MIMO) transmission is one of the key technologies utilized in the fifth generation (5G) wireless communication system. For the algorithm design and the performance evaluation of massive-MIMO, channel characterization based on real measurements is necessary. In this paper, we introduced a measurement campaign conducted in a Line-of-Sight (LoS) scenario of a suburban outdoor environment. The channel sounder is equipped with a 64-element transmitter array and a 64-element receiver array. Multiple aspects of massive-MIMO channel characteristics are considered, including the power delay profile, the K-factor and the delay-spread. We found that for the outdoor LoS scenario considered, the polarization plays an important role generating orthogonal channels observed through large-scale antenna arrays.

关键词： Massive multiple-input multiple-output (MIMO) large-scale antenna array channel characteristics and polarization

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Speed sensorless vector control oflnduction motor based on adaptive full-order flux observer 11

Speed sensorless vector control oflnduction motor based on a...

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11th IEEE Conference on industrial electronics and Applications, ICIEA 2016

作者： Shi, Lei Li, Guoli Xie, Fang Hang, Bing School of Electrical Engineering and Automation Anhui University Hefei China National Engineering Laboratory of Energy-Saving Motor and Control Technology Hefei China Collaborative Innovation Center of Industrial Energy-saving and Power Quality Control Anhui University Hefei China

ISBN: (纸本)9781509026050

In order to improve the flux aberration and running characteristics of induction motor at low speed region, this paper proposes a design of a new speed-adaptive flux observer based on a model reference self-adaptive system theory (MRAS). It collocated full-order flux observer poles by means of choosing a gain matrix. The observer uses the stator current and stator flux as state variables and combines flux observation with speed estimating by using the speed adaptive law. It was used in the speed sensorless vector control of induction motor. It is shown that the observer using the proposed speed-adaptation law can make sure that the system has better characteristic in the low speed and the effect of erroneous parameter estimations on the accuracy of the observer is comparatively small. Simulation results demonstrate the effectiveness of the adaptive full-order flux observer, and prove the robustness of the system to motor parameters variation. © 2016 IEEE.

关键词： Induction motors

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Author Correction: Battery-free, wireless soft sensors for continuous multi-site measurements of pressure and temperature from patients at risk for pressure injuries

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Nature communications 2021年第1期12卷 6827页

作者： Yong Suk Oh Jae-Hwan Kim Zhaoqian Xie Seokjoo Cho Hyeonseok Han Sung Woo Jeon Minsu Park Myeong Namkoong Raudel Avila Zhen Song Sung-Uk Lee Kabseok Ko Jungyup Lee Je-Sang Lee Weon Gi Min Byeong-Ju Lee Myungwoo Choi Ha Uk Chung Jongwon Kim Mengdi Han Jahyun Koo Yeon Sik Choi Sung Soo Kwak Sung Bong Kim Jeonghyun Kim Jungil Choi Chang-Mo Kang Jong Uk Kim Kyeongha Kwon Sang Min Won Janice Mihyun Baek Yujin Lee So Young Kim Wei Lu Abraham Vazquez-Guardado Hyoyoung Jeong Hanjun Ryu Geumbee Lee Kyuyoung Kim Seunghwan Kim Min Seong Kim Jungrak Choi Dong Yun Choi Quansan Yang Hangbo Zhao Wubin Bai Hokyung Jang Yongjoon Yu Jaeman Lim Xu Guo Bong Hoon Kim Seokwoo Jeon Charles Davies Anthony Banks Hyung Jin Sung Yonggang Huang Inkyu Park John A Rogers Center for Bio-Integrated Electronics Northwestern University Evanston IL USA. Department of Mechanical Engineering Korea Advanced Institute of Science and Technology Daejeon Republic of Korea. Department of Electrical and Computer Engineering University of Illinois at Urbana-Champaign Urbana IL USA. Department of Materials Science and Engineering University of Illinois at Urbana Champaign Urbana IL USA. Querrey Simpson Institute for Bioelectronics Northwestern University Evanston IL USA. State Key Laboratory of Structural Analysis for Industrial Equipment Department of Engineering Mechanics Dalian University of Technology Dalian People's Republic of China. Ningbo Institute of Dalian University of Technology Ningbo People's Republic of China. Department of Biomedical Engineering Texas A&M University College Station TX USA. Department of Mechanical Engineering Northwestern University Evanston IL USA. Advanced 3D Printing Technology Development Division Korea Atomic Energy Research Institute Daejeon Republic of Korea. Qualcomm Institute La Jolla CA USA. Sibel Health Inc Niles IL USA. Department of Rehabilitation Medicine Gimhae Hansol Rehabilitation & Convalescent Hospital Gimhae Republic of Korea. Department of Planning and Development Gimhae Hansol Rehabilitation & Convalescent Hospital Gimhae Republic of Korea. Department of Rehabilitation Medicine Pusan national university hospital Busan Republic of Korea. Department of Materials Science and Engineering KAIST Institute for The Nanocentury (KINC) Korea Advanced Institute of Science and Technology Daejeon Republic of Korea. Department of Materials Science and Engineering Northwestern University Evanston IL USA. Department of Mechanical Engineering Kyung Hee University Yongin Republic of Korea. Department of Biomedical Engineering College of Future Technology Peking University Beijing People's Republic of China. School of Biomedical Engineering Korea University Seoul Republic of Korea. Interdisci

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Preparation and Characterization of ITO Nanostructure by Oblique Angle Deposition

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Materials Today: Proceedings 2017年第5期4卷 6284-6288页

作者： P. Nuchuay T. Chaikeeree N. Kasayapanand N. Mungkung S. Arunrungrusmi M. Horprathum P. Eiamchai S. Limwichean V. Patthanasettakul N. Nuntawong C. Oros S. Denchitcharoen B. Samransuksamer P. Chindaudom School of Energy Environment and Materials King Mongkut's University of Technology Thonburi Bangkok 10140 Thailand Department of Electrical Technology Education Faculty of Industrial Education and Technology King Mongkut’s University of Technology Thonburi Bangkok 10140 Thailand Optical Thin-Film Laboratory National Electronics and Computer Technology Center Pathumthani 12120 Thailand Faculty of Liberal-Arts Rajamangala University of Technology Rattanakosin Nakornpathom 73170 Thailand Department of Physics Faculty of Science King Mongkut's University of Technology Thonburi Bangkok 10140 Thailand

Indium doped tin oxide (ITO) nanostructured films were prepared by the electron-beam evaporation with the oblique-angle deposition (OAD) technique. The influence of the film thickness of the ITO nanostructures on the crystal structures, the physical morphologies, the optical properties, and the electrical attributes was investigated by grazing-incident X-ray diffraction (GIXRD), field-emission scanning electron microscopy (FE-SEM), UV-Vis spectrophotometry, four-point probe measurements, the respectively. The GIXRD analyses indicated that the ITO nanostructured films were mostly polycrystalline with the cubic bixbite structure. The FE-SEM micrographs clearly showed that the increased film thickness greatly affected the morphologies of the ITO nanostructures. The optical transmission spectra at the different angles of incidence clearly demonstrated the optimized results for the highest transmission in the visible region. The electrical resistivity of the ITO nanostructures was gradually decreased with the increased ITO thickness. Finally, the most optimized solar transmission with small light scattering and sheet resistance were discussed based on the anti-reflection performance of the ITO nanostructured films towards the solar cell applications.

关键词： ITO nanostructure Evaporation Oblique angle deposition

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