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International Microsystems, Packaging, Assembly and Circuits technology (IMPACT)

作者： Yi-Chung Hsu Ping-Yen Kuo Wong-Shian Huang AI & Advanced Optical Technology Development Division Corporate R&D Advanced Semiconductor Engineering (ASE) Inc. Zhubei City Hsinchu County 302 Taiwan (R.O.C.)

ISBN: (数字)9781728160702

ISBN: (纸本)9781728160719

defect inspection (to detect, classify, measure and analyze) has long been a challenging task in semiconductor manufacturing (MFG) domain. This paper discusses a new Machine Learning (ML) approach which can be used to assist defect inspection in different MFG scenarios. Associated solutions have been developed and applied to the surface defect inspection for substrate components, used in our IC packaging *** the past decade, the help from image-based Automated Optical Inspection (AOI) equipment has significantly reduced manual efforts in substrate/PCB defect examination, but is still insufficient in defect classification automation. recently, the adoption of ML and Convolution Neural Network (CNN) based deep Learning technologies raised much hoping to advance the defect classification automation to a new level that acceptable for rigid MFG practices. Most of the published CNN models, however, tend to use large number of learning parameters (floating-point variables) during computing in order to gain high image recognition accuracy. The parameters' massive blow-up often causes heavy power-gobbling computation. While applying CNN to our substrate defect datasets, each of which contains hundreds of thousands of high-resolution images, collected across different MFG processes and produced products, a training run could take days or even weeks to finish. Also, more the learning variables for training are used, longer the inference time will be. The situations make these complex CNN models hard to meet our overnight retraining and in-line inference time constraint. Therefore, to develop a more efficient ML method is strongly preferred in our MFG *** this paper, we develop a feature-spanning ML approach which takes the feature of an image as a base. Through mathematical transformations the base is spanned to fit into an accumulated and gradually divided feature-of-classes space. during the feature-spanning process, the initialization of parameters is tigh

关键词： Inspection Substrates Benchmark testing Training Feature extraction Machine learning Production

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Post-Synthetic Ensembling design of Hierarchically Ordered FAU-type Zeolite Frameworks for Vacuum Gas Oil Hydrocracking

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Angewandte Chemie 2023年第6期136卷

作者： rajesh Kumar Parsapur Amol M. Hengne Georgian Melinte Omer refa Koseoglu robert Peter Hodgkins Anissa Bendjeriou-Sedjerari Zhiping Lai Kuo-Wei Huang Division of Physical Sciences and Engineering and KAUST Catalysis Center King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia Agency for Science Technology and Research and Institute of Materials Research and Engineering and Institute of Sustainability for Chemicals Energy and Environment Singapore 138634 Singapore Core Labs King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia Catalysis Center of Excellence Research & Development Center Saudi Aramco Dhahran 31311 Saudi Arabia Advanced Materials Team Catalyst Center of Excellence R&D Division Research & Development Center Saudi Aramco Dhahran 31311 Saudi Arabia Division of Physical Sciences and Engineering and Advanced Membranes and Porous Materials Center King Abdullah University of Science and Technology Thuwal 23955-6900 Saudi Arabia

Zeolites hold importance as catalysts and membranes across numerous industrial processes that produce most of the world's fuels and chemicals. In zeolite catalysis, the rate of molecular diffusion inside the micropore channels defines the catalyst's longevity and selectivity, thereby influencing the catalytic efficiency. decreasing the diffusion pathlengths of zeolites to the nanoscopic level by fabricating well-organized hierarchically porous architecture can efficiently overcome their intrinsic mass-transfer limitations without losing hydrothermal stability. We report a rational post-synthetic design for synthesizing hierarchically ordered FAU-type zeolites exhibiting 2d-hexagonal ( P6mm ) and 3d-cubic ( Ia d ) mesopore channels. The synthesis involves methodical incision of the parent zeolite into unit-cell level zeolitic fragments by in situ generated base and bulky surfactants. The micellar ensembles formed by these surfactant-zeolite interactions are subsequently reorganized into various ordered mesophases by tuning the micellar curvature with ion-specific interactions (Hofmeister effect). Unlike conventional crystallization, which offers poor control over mesophase formation due to kinetic constraints, crystalline mesostructures can be developed under dilute, mild alkaline conditions by controlled reassembly. The prepared zeolites with nanometric diffusion pathlengths have demonstrated excellent yields of naphtha and middle-distillates in vacuum gas oil hydrocracking with decreased coke deposition.

关键词： FAU-Type Zeolites Gyroidal Mesoporosity Hierarchically Ordered Zeolites Post-Synthetic reorganization VGO Hydrocracking

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Sketch-based Medical Image retrieval

arXiv

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arXiv 2023年

作者： Kobayashi, Kazuma Gu, Lin Hataya, ryuichiro Mizuno, Takaaki Miyake, Mototaka Watanabe, Hirokazu Takahashi, Masamichi Takamizawa, Yasuyuki Yoshida, Yukihiro Nakamura, Satoshi Kouno, Nobuji Bolatkan, Amina Kurose, Yusuke Harada, Tatsuya Hamamoto, ryuji Division of Medical AI Research and Development National Cancer Center Research Institute 5-1-1 Tsukiji Chuo-ku Tokyo104-0045 Japan Cancer Translational Research Team RIKEN Center for Advanced Intelligence Project 1-4-1 Nihonbashi Chuo-ku Tokyo103-0027 Japan Machine Intelligence for Medical Engineering Team RIKEN Center for Advanced Intelligence Project 1-4-1 Nihonbashi Chuo-ku Tokyo103-0027 Japan Research Center for Advanced Science and Technology The University of Tokyo 4-6-1 Komaba Meguro-ku Tokyo153-8904 Japan Medical Data Deep Learning Team Advanced Data Science Project RIKEN Information R&D and Strategy Headquarters 1-4-1 Nihonbashi Chuo-ku Tokyo103-0027 Japan Department of Experimental Therapeutics National Cancer Center Hospital 5-1-1 Tsukiji Chuo-ku Tokyo104-0045 Japan Department of Diagnostic Radiology National Cancer Center Hospital 5-1-1 Tsukiji Chuo-ku Tokyo104-0045 Japan Department of Neurosurgery and Neuro-Oncology National Cancer Center Hospital 5-1-1 Tsukiji Chuo-ku Tokyo104-0045 Japan Department of Colorectal Surgery National Cancer Center Hospital 5-1-1 Tsukiji Chuo-ku Tokyo104-0045 Japan Department of Thoracic Surgery National Cancer Center Hospital 5-1-1 Tsukiji Chuo-ku Tokyo104-0045 Japan Radiation Safety and Quality Assurance Division National Cancer Center Hospital 5-1-1 Tsukiji Chuo-ku Tokyo104-0045 Japan Division of Research and Development for Boron Neutron Capture Therapy National Cancer Center Exploratory Oncology Research & Clinical Trial Center 5-1-1 Tsukiji Chuo-ku Tokyo104-0045 Japan Medical Physics Laboratory Division of Health Science Graduate School of Medicine Osaka University Yamadaoka 1-7 Osaka Suita-shi565-0871 Japan Department of Surgery Kyoto University Graduate School of Medicine 54 Shogoin Kawahara-cho Sakyo-ku Kyoto606-8507 Japan

The amount of medical images stored in hospitals is increasing faster than ever;however, utilizing the accumulated medical images has been limited. This is because existing content-based medical image retrieval (CBMIr) systems usually require example images to construct query vectors;nevertheless, example images cannot always be prepared. Besides, there can be images with rare characteristics that make it difficult to find similar example images, which we call isolated samples. Here, we introduce a novel sketch-based medical image retrieval (SBMIr) system that enables users to find images of interest without example images. The key idea lies in feature decomposition of medical images, whereby the entire feature of a medical image can be decomposed into and reconstructed from normal and abnormal features. By extending this idea, our SBMIr system provides an easy-to-use two-step graphical user interface: users first select a template image to specify a normal feature and then draw a semantic sketch of the disease on the template image to represent an abnormal feature. Subsequently, it integrates the two kinds of input to construct a query vector and retrieves reference images with the closest reference vectors. Using two datasets, ten healthcare professionals with various clinical backgrounds participated in the user test for evaluation. As a result, our SBMIr system enabled users to overcome previous challenges, including image retrieval based on fine-grained image characteristics, image retrieval without example images, and image retrieval for isolated samples. Our SBMIr system achieves flexible medical image retrieval on demand, thereby expanding the utility of medical image databases. Copyright © 2023, The Authors. All rights reserved.

关键词： Search engines

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Corrigendum: "Analysis of hot carrier instability in a floating body cell" [Jpn. J. Appl. Phys. 63, 094002 (2024)]

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Japanese Journal of Applied Physics 2024年第11期63卷 119301-119301页

作者： Hiroomi Nakajima Tomoaki Shino Hironobu Furuhashi Jun Nishimura Tomoki Higashi Katsuyuki Fujita Kosuke Hatsuda ryo Fukuda Takeshi Kajiyama Memory Development Strategy Group2 Memory Development Strategy Division KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa-Pref. 247-8585 Japan File Memory Device Peripheral Element Development Group File Memory Device Engineering Department KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa Pref. 247-8585 Japan Advanced Memory Development Center KIOXIA Corporation 800 Yamanoissiki-Cho Yokkaichi Mie-Pref. 510-0906 Japan Memory Device Engineering Department KIOXIA Systems Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa-Pref. 247-8585 Japan Circuit Technology Research Department AI & System Research Center Frontier Technology R&D Institute KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa Pref. 247-8585 Japan Memory Design Group 4 Memory Design Department 2 Memory Design Managing Department KIOXIA Corporation 2-5-1 Kasama Sakae-ku Yokohama Kanagawa Pref. 247-8585 Japan

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Atomic-scale ferroic HfO2-ZrO2 superlattice gate stack for advanced transistors

Research Square

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research Square 2021年

作者： Cheema, Suraj S. Shanker, Nirmaan Wang, Li-Chen Hsu, Cheng-Hsiang Hsu, Shang-Lin Liao, Yu-Hung Jose, Matthew San Gomez, Jorge Li, Wenshen Bae, Jong-Ho Volkman, Steve Kwon, daewoong rho, Yoonsoo Pinelli, Gianni rastogi, ravi Pipitone, dominick Stull, Corey Cook, Matthew Tyrrell, Brian Stoica, Vladimir A. Zhang, Zhan Freeland, John W. Tassone, Christopher J. Mehta, Apurva Soheli, Ghazal Thompson, david Suh, dong Ik Koo, Won-Tae Nam, Kab-Jin Jung, dong Jin Song, Woo-Bin Lin, Chung-Hsun Nam, Seunggeol Heo, Jinseong Grigoropoulos, Costas P. Shafer, Padraic Fay, Patrick ramesh, ramamoorthy Ciston, Jim datta, Suman Mohamed, Mohamed Hu, Chenming Salahuddin, Sayeef Department of Materials Science and Engineering University of California BerkeleyCA United States Department of Electrical Engineering and Computer Sciences University of California BerkeleyCA United States Department of Electrical Engineering University of Notre Dame Notre DameIN United States Applied Science & Technology University of California BerkeleyCA United States Laser Thermal Laboratory Department of Mechanical Engineering University of California BerkeleyCA United States Lincoln Laboratory Massachusetts Institute of Technology LexingtonMA United States Department of Materials Science and Engineering Pennsylvania State University University ParkPA United States Advanced Photon Source Argonne National Laboratory LemontIL United States Stanford Synchrotron Radiation Lightsource SLAC National Accelerator Laboratory Menlo ParkCA United States Applied Materials Santa ClaraCA United States SK Hynix Inc. Gyeonggi-do Icheon17336 Korea Republic of Semiconductor R&D Center Samsung Electronics Gyeonggi-do 445-330 Korea Republic of Logic Technology Development Intel Corporation HillsboroOR97124 United States Samsung Advanced Institute of Technology Samsung Electronics Gyeonggi-do 445-330 Korea Republic of Advanced Light Source Lawrence Berkeley National Laboratory BerkeleyCA United States Department of Physics University of California BerkeleyCA United States Materials Sciences Division Lawrence Berkeley National Laboratory BerkeleyCA United States National Center for Electron Microscopy Molecular Foundry Lawrence Berkeley National Laboratory BerkeleyCA United States

With the scaling of lateral dimensions in advanced transistors, an increased gate capacitance is desirable both to retain the control of the gate electrode over the channel and to reduce the operating voltage1. This led to the adoption of high-κ dielectric HfO2 in the gate stack in 20082, which remains as the material of choice to date. Here, we report HfO2-ZrO2 superlattice heterostructures as a gate stack, stabilized with mixed ferroelectric-antiferroelectric order, directly integrated onto Si transistors and scaled down to ∼ 20 Å, the same gate oxide thickness required for high performance transistors. The overall EOT (equivalent oxide thickness) in metal-oxide-semiconductor capacitors is equivalent to ∼ 6.5 Å effective SiO2 thickness, which is, counterintuitively, even smaller than the interfacial SiO2 thickness (8.0-8.5 Å) itself. Such a low effective oxide thickness and the resulting large capacitance cannot be achieved in conventional HfO2-based high-κ dielectric gate stacks without scavenging the interfacial SiO2, which has adverse effects on the electron transport and gate leakage current3. Accordingly, our gate stacks, which do not require such scavenging, provide substantially lower leakage current and no mobility degradation. Therefore, our work demonstrates that HfO2-ZrO2 multilayers with competing ferroelectric-antiferroelectric order, stabilized in the 2 nm thickness regime, provides a new path towards advanced gate oxide stacks in electronic devices beyond the conventional HfO2-based high-κ dielectrics. © 2021, CC BY.

关键词： Silica

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Publisher Correction to:Highly Elastic,Bioresorbable Polymeric Materials for Stretchable,Transient Electronic Systems

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Nano-Micro Letters 2024年第8期16卷 417-417页

作者： Jeong‑Woong Shin dong‑Je Kim Tae‑Min Jang Won Bae Han Joong Hoon Lee Gwan‑Jin Ko Seung Min Yang Kaveti rajaram Sungkeun Han Heeseok Kang Jun Hyeon Lim Chan‑Hwi Eom Amay JBandodkar Hanul Min Suk‑Won Hwang KU‑KIST Graduate School of Converging Science and Technology Korea University145 Anam‑roSeongbuk‑guSeoul 02841Republic of Korea SK Hynix 2091Gyeongchung‑daeroBubal‑eupIcheon‑siGyeonggi‑do 17336Republic of Korea Hanwha Systems Co. Ltd.188Pangyoyeok‑roBundang‑guSeongnam‑siGyeonggi‑do 13524Republic of Korea Department of Electrical and Computer Engineering North Carolina State UniversityRaleighNC 27606USA Center for Advanced Self‑Powered Systems of Integrated Sensors and Technologies(ASSIST) North Carolina State UniversityRaleighNC 27606USA Department of Integrative Energy Engineering Korea University145 Anam‑roSeongbuk‑guSeoul 02841Republic of Korea Biomaterials Research Center Korea Institute of Science and Technology(KIST)5 Hwarang‑ro 14‑gilSeongbuk‑guSeoul 02792Republic of Korea Semiconductor R&D Center Samsung Electronics Co.Ltd.Hwaseong‑siGyeonggi‑do 18448Republic of Korea Center for Advanced Biomolecular Recognition Biomedical Research DivisionKorea Institute of Science and Technology(KIST)Seoul 02792Republic of Korea

due to typesetting mistake,Hanul Min was missed to be denoted as a corresponding author in the *** type-setter apologizes for *** original article has been *** Access This article is licensed under a Creative Commons Attribution 4.0 International License,which permits use,sharing,adaptation,distribution and reproduction in any medium or format,as long as you give appropriate credit to the original author(s)and the source,provide a link to the Creative Commons licence,and indicate if changes were *** images or other third party material in this article are included in the article’s Creative Commons licence,unless indicated otherwise in a credit line to the *** material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use,you will need to obtain permission directly from the copyright holder.

关键词： Creative Elastic Highly

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A ring-like accretion structure in M87 connecting its black hole and jet

arXiv

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arXiv 2023年

作者： Lu, ru-Sen Asada, Keiichi Krichbaum, Thomas P. Park, Jongho Tazaki, Fumie Pu, Hung-Yi Nakamura, Masanori Lobanov, Andrei Hada, Kazuhiro Akiyama, Kazunori Kim, Jae-Young Marti-Vidal, Ivan Gómez, José L. Kawashima, Tomohisa Yuan, Feng ros, Eduardo Alef, Walter Britzen, Silke Bremer, Michael Broderick, Avery E. doi, Akihiro Giovannini, Gabriele Giroletti, Marcello Ho, Paul T.P. Honma, Mareki Hughes, david H. Inoue, Makoto Jiang, Wu Kino, Motoki Koyama, Shoko Lindqvist, Michael Liu, Jun Marscher, Alan P. Matsushita, Satoki Nagai, Hiroshi rottmann, Helge Savolainen, Tuomas Schuster, Karl-Friedrich Shen, Zhi-Qiang de Vicente, Pablo Walker, r. Craig Yang, Hai Zensus, J. Anton Algaba, Juan Carlos Allardi, Alexander Bach, Uwe Berthold, ryan Bintley, dan Byun, do-Young Casadio, Carolina Chang, Shu-Hao Chang, Chih-Cheng Chang, Song-Chu Chen, Chung-Chen Chen, Ming-Tang Chilson, ryan Chuter, Tim C. Conway, John Crew, Geoffrey B. dempsey, Jessica T. dornbusch, Sven Faber, Aaron Friberg, Per García, Javier González Garrido, Miguel Gómez Han, Chih-Chiang Han, Kuo-Chang Hasegawa, Yutaka Herrero-Illana, ruben Huang, Yau-de Huang, Chih-Wei L. Impellizzeri, Violette Jiang, Homin Jinchi, Hao Jung, Taehyun Kallunki, Juha Kirves, Petri Kimura, Kimihiro Koay, Jun Yi Koch, Patrick M. Kramer, Carsten Kraus, Alex Kubo, derek Kuo, Cheng-Yu Li, Chao-Te Lin, Lupin Chun-Che Liu, Ching-Tang Liu, Kuan-Yu Lo, Wen-Ping Lu, Li-Ming Macdonald, Nicholas Martin-Cocher, Pierre Messias, Hugo Meyer-Zhao, Zheng Minter, Anthony Nair, dhanya G. Nishioka, Hiroaki Norton, Timothy J. Nystrom, George Ogawa, Hideo Oshiro, Peter Patel, Nimesh A. Pen, Ue-Li Pidopryhora, Yurii Pradel, Nicolas raffin, Philippe A. rao, ramprasad ruiz, Ignacio Sanchez, Salvador Shaw, Paul Snow, William Sridharan, T.K. Srinivasan, ranjani Tercero, Belén Torne, Pablo Traianou, Efthalia Wagner, Jan Walther, Craig Wei, Ta-Shun Yang, Jun Yu, Chen-Yu Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai China Key Laboratory of Radio Astronomy Chinese Academy of Sciences Nanjing China Max-Planck-Institut für Radioastronomie Bonn Germany Institute of Astronomy and Astrophysics Academia Sinica Taipei Taiwan Korea Astronomy and Space Science Institute Daejeon Korea Republic of Simulation Technology Development Department Tokyo Electron Technology Solutions Oshu Japan Mizusawa VLBI Observatory National Astronomical Observatory of Japan Oshu Japan Department of Physics National Taiwan Normal University Taipei Taiwan Center of Astronomy and Gravitation National Taiwan Normal University Taipei Taiwan Department of General Science and Education National Institute of Technology Hachinohe College Hachinohe City Japan Department of Astronomical Science The Graduate University for Advanced Studies SOKENDAI Mitaka Japan Black Hole Initiative Harvard University CambridgeMA United States Massachusetts Institute of Technology Haystack Observatory WestfordMA United States National Astronomical Observatory of Japan Mitaka Japan Department of Astronomy and Atmospheric Sciences Kyungpook National University Daegu Korea Republic of Departament d’Astronomia i Astrofísica Universitat de València Valencia Spain Observatori Astronòmic Universitat de València Valencia Spain Instituto de Astrofísica de Andalucía-CSIC Granada Spain Institute for Cosmic Ray Research The University of Tokyo Chiba Japan Key Laboratory for Research in Galaxies and Cosmology Chinese Academy of Sciences Shanghai China School of Astronomy and Space Sciences University of Chinese Academy of Sciences Beijing China Institut de Radioastronomie Millimétrique Saint Martin d’Hères France Department of Physics and Astronomy University of Waterloo WaterlooON Canada Waterloo Centre for Astrophysics University of Waterloo WaterlooON Canada Perimeter Institute for Theoretical Physics WaterlooON Canada Institute of Space and Astron

The nearby radio galaxy M87 is a prime target for studying black hole accretion and jet formation1,2. Event Horizon Telescope observations of M87 in 2017, at a wavelength of 1.3 mm, revealed a ring-like structure, which was interpreted as gravitationally lensed emission around a central black hole3. Here we report images of M87 obtained in 2018, at a wavelength of 3.5 mm, showing that the compact radio core is spatially resolved. High-resolution imaging shows a ring-like structure of 8. 4!1.1$0.5 Schwarzschild radii in diameter, approximately 50% larger than that seen at 1.3 mm. The outer edge at 3.5 mm is also larger than that at 1.3 mm. This larger and thicker ring indicates a substantial contribution from the accretion flow with absorption effects in addition to the gravitationally lensed ring-like emission. The images show that the edge–brightened jet connects to the accretion flow of the black hole. Close to the black hole, the emission profile of the jet-launching region is wider than the expected profile of a black -hole-driven jet, suggesting the possible presence of a wind associated with the accretion flow. © 2023, CC BY.

关键词： Galaxies

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A ring-like accretion structure in M87 connecting its black hole and jet

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Nature 2023年第7958期616卷 686-690页

作者： ru-Sen Lu Keiichi Asada Thomas P Krichbaum Jongho Park Fumie Tazaki Hung-Yi Pu Masanori Nakamura Andrei Lobanov Kazuhiro Hada Kazunori Akiyama Jae-Young Kim Ivan Marti-Vidal José L Gómez Tomohisa Kawashima Feng Yuan Eduardo ros Walter Alef Silke Britzen Michael Bremer Avery E Broderick Akihiro doi Gabriele Giovannini Marcello Giroletti Paul T P Ho Mareki Honma david H Hughes Makoto Inoue Wu Jiang Motoki Kino Shoko Koyama Michael Lindqvist Jun Liu Alan P Marscher Satoki Matsushita Hiroshi Nagai Helge rottmann Tuomas Savolainen Karl-Friedrich Schuster Zhi-Qiang Shen Pablo de Vicente r Craig Walker Hai Yang J Anton Zensus Juan Carlos Algaba Alexander Allardi Uwe Bach ryan Berthold dan Bintley do-Young Byun Carolina Casadio Shu-Hao Chang Chih-Cheng Chang Song-Chu Chang Chung-Chen Chen Ming-Tang Chen ryan Chilson Tim C Chuter John Conway Geoffrey B Crew Jessica T dempsey Sven dornbusch Aaron Faber Per Friberg Javier González García Miguel Gómez Garrido Chih-Chiang Han Kuo-Chang Han Yutaka Hasegawa ruben Herrero-Illana Yau-de Huang Chih-Wei L Huang Violette Impellizzeri Homin Jiang Hao Jinchi Taehyun Jung Juha Kallunki Petri Kirves Kimihiro Kimura Jun Yi Koay Patrick M Koch Carsten Kramer Alex Kraus derek Kubo Cheng-Yu Kuo Chao-Te Li Lupin Chun-Che Lin Ching-Tang Liu Kuan-Yu Liu Wen-Ping Lo Li-Ming Lu Nicholas Macdonald Pierre Martin-Cocher Hugo Messias Zheng Meyer-Zhao Anthony Minter dhanya G Nair Hiroaki Nishioka Timothy J Norton George Nystrom Hideo Ogawa Peter Oshiro Nimesh A Patel Ue-Li Pen Yurii Pidopryhora Nicolas Pradel Philippe A raffin ramprasad rao Ignacio ruiz Salvador Sanchez Paul Shaw William Snow T K Sridharan ranjani Srinivasan Belén Tercero Pablo Torne Efthalia Traianou Jan Wagner Craig Walther Ta-Shun Wei Jun Yang Chen-Yu Yu Shanghai Astronomical Observatory Chinese Academy of Sciences Shanghai People's Republic of China. rslu@***. Key Laboratory of Radio Astronomy Chinese Academy of Sciences Nanjing People's Republic of China. rslu@***. Max-Planck-Institut für Radioastronomie Bonn Germany. rslu@***. Institute of Astronomy and Astrophysics Academia Sinica Taipei Taiwan ROC. asada@asiaa.sinica.edu.tw. Max-Planck-Institut für Radioastronomie Bonn Germany. tkrichbaum@mpifr-bonn.mpg.de. Institute of Astronomy and Astrophysics Academia Sinica Taipei Taiwan ROC. Korea Astronomy and Space Science Institute Daejeon Republic of Korea. Simulation Technology Development Department Tokyo Electron Technology Solutions Oshu Japan. Mizusawa VLBI Observatory National Astronomical Observatory of Japan Oshu Japan. Department of Physics National Taiwan Normal University Taipei Taiwan ROC. Center of Astronomy and Gravitation National Taiwan Normal University Taipei Taiwan ROC. Department of General Science and Education National Institute of Technology Hachinohe College Hachinohe City Japan. Max-Planck-Institut für Radioastronomie Bonn Germany. Mizusawa VLBI Observatory National Astronomical Observatory of Japan Oshu Japan. kazuhiro.hada@nao.ac.jp. Department of Astronomical Science The Graduate University for Advanced Studies SOKENDAI Mitaka Japan. kazuhiro.hada@nao.ac.jp. Black Hole Initiative Harvard University Cambridge MA USA. Massachusetts Institute of Technology Haystack Observatory Westford MA USA. National Astronomical Observatory of Japan Mitaka Japan. Department of Astronomy and Atmospheric Sciences Kyungpook National University Daegu Republic of Korea. Departament d'Astronomia i Astrofísica Universitat de València Valencia Spain. Observatori Astronòmic Universitat de València Valencia Spain. Instituto de Astrofísica de Andalucía-CSIC Granada Spain. Institute for Cosmic Ray Research The University of Tokyo Chiba Japan. Shanghai Astronomical Observatory Chinese Academy of S

The nearby radio galaxy M87 is a prime target for studying black hole accretion and jet formation. Event Horizon Telescope observations of M87 in 2017, at a wavelength of 1.3 mm, revealed a ring-like structure, which was interpreted as gravitationally lensed emission around a central black hole. Here we report images of M87 obtained in 2018, at a wavelength of 3.5 mm, showing that the compact radio core is spatially resolved. High-resolution imaging shows a ring-like structure of [Formula: see text] Schwarzschild radii in diameter, approximately 50% larger than that seen at 1.3 mm. The outer edge at 3.5 mm is also larger than that at 1.3 mm. This larger and thicker ring indicates a substantial contribution from the accretion flow with absorption effects, in addition to the gravitationally lensed ring-like emission. The images show that the edge-brightened jet connects to the accretion flow of the black hole. Close to the black hole, the emission profile of the jet-launching region is wider than the expected profile of a black-hole-driven jet, suggesting the possible presence of a wind associated with the accretion flow.

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The forefront of chemical engineering research

Nature Chemical Engineering

引用

Nature Chemical Engineering 2024年第1期1卷 18-27页

作者： Laura Torrente-Murciano Jennifer B. dunn Panagiotis d. Christofides Jay d. Keasling Sharon C. Glotzer Sang Yup Lee Kevin M. Van Geem Jean Tom Gaohong He Department of Chemical Engineering and Biotechnology University of Cambridge Cambridge UK Chemical and Biological Engineering Center for Engineering Sustainability and Resilience Northwestern University Evanston IL USA Department of Chemical and Biomolecular Engineering University of California Los Angeles Los Angeles CA USA Department of Chemical & Biomolecular Engineering University of California Berkeley Berkeley CA USA Department of Bioengineering University of California Berkeley Berkeley CA USA California Institute of Quantitative Biosciences (QB3) University of California Berkeley Berkeley CA USA Division of Biological Systems and Engineering Lawrence Berkeley National Laboratory Berkeley CA USA Joint BioEnergy Institute Emeryville CA USA Center for Biosustainability Danish Technical University Lyngby Denmark Center for Synthetic Biochemistry Shenzhen Institutes for Advanced Technologies Shenzhen China Department of Chemical Engineering University of Michigan Ann Arbor MI USA Metabolic and Biomolecular Engineering National Research Laboratory Systems Metabolic Engineering and Systems Healthcare Cross-Generation Collaborative Laboratory Department of Chemical and Biomolecular Engineering (BK21 four) BioProcess Engineering Research Center Korea Advanced Institute of Science and Technology (KAIST) Daejeon Republic of Korea Laboratory for Chemical Technology Department of Materials Textiles and Chemical Engineering Faculty of Engineering and Architecture Ghent University Ghent Belgium Chemical Process Development Global Product Development and Supply Bristol Myers Squibb New Brunswick NJ USA State Key Laboratory of Fine Chemicals R&D Center of Membrane Science and Technology School of Chemical Engineering Panjin Institute of Industrial Technology Liaoning Key Laboratory of Chemical Additive Synthesis and Separation Dalian University of Technology Dalian Liaoning China

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Carrier lifetimes in 4H-SiC epitaxial layers on the C-face enhanced by carbon implantation

Carrier lifetimes in 4H-SiC epitaxial layers on the C-face e...

引用

International Conference on Silicon Carbide and related Materials, ICSCrM 2017

作者： Kushibe, Mitsuhiro Nishio, Johji Iijima, ryosuke Miyasaka, Akira Asamizu, Hirokuni Kitai, Hidenori Kosugi, ryoji Harada, Shinsuke Kojima, Kazutoshi Corporate R&D Center Toshiba Corporation KawasakiKanagawa212-8582 Japan Advanced Power Electronics Research Center Advanced Industrial Science and Technology TsukubaIbaraki305-8568 Japan Showa Denko K. K Shimokagemori ChichibuSaitama369-1893 Japan Research and Development Division ROHM Co. Ltd UkyoKyoto615-8585 Japan

ISBN: (纸本)9783035711455

Carrier lifetime in low carrier concentration 4H-SiC epitaxial layers grown on the C-face was enhanced by using carbon implantation and post annealing. The measured carrier lifetime increased with the thickness of the epitaxial layer and was 11.4 μs for the 150 μm thick epitaxial layer. The internal carrier lifetime was estimated as 21 μs from the dependence of the measured carrier lifetime on the epitaxial layer thickness. This value is almost comparable to the reported values of the internal carrier lifetime for the layers grown on the Si-face. © 2018 Trans Tech Publications, Switzerland.

关键词： Silicon carbide

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