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Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic (vol 11, 5172, 2020)

NATURE COMMUNICATIONS 2020年第1期11卷 5172页

作者： Liu, Zhu Ciais, Philippe Deng, Zhu Lei, Ruixue Davis, Steven J. Feng, Sha Zheng, Bo Cui, Duo Dou, Xinyu Zhu, Biqing Guo, Rui Ke, Piyu Sun, Taochun Lu, Chenxi He, Pan Wang, Yuan Yue, Xu Wang, Yilong Lei, Yadong Zhou, Hao Cai, Zhaonan Wu, Yuhui Guo, Runtao Han, Tingxuan Xue, Jinjun Boucher, Olivier Boucher, Eulalie Chevallier, Frederic Tanaka, Katsumasa Wei, Yiming Zhong, Haiwang Kang, Chongqing Zhang, Ning Chen, Bin Xi, Fengming Liu, Miaomiao Breon, Francois-Marie Lu, Yonglong Zhang, Qiang Guan, Dabo Gong, Peng Kammen, Daniel M. He, Kebin Schellnhuber, Hans Joachim Department of Earth System Science Tsinghua University Beijing China. zhuliu@***. Laboratoire des Sciences du Climat et de l'Environnement LSCE CEA CNRS UVSQ Centre d'Etudes Orme de Merisiers Gif-sur-Yvette France. Department of Earth System Science Tsinghua University Beijing China. Department of Meteorology and Atmospheric Science The Pennsylvania State University University Park PA USA. Department of Earth System Science University of California Irvine 3232 Croul Hall Irvine CA USA. Division of Geological and Planetary Sciences California Institute of Technology Pasadena CA USA. Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science & Technology Nanjing China. Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China. Climate Change Research Center Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China. Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China. School of Environment Tsinghua University Beijing China. School of Mathematical School Tsinghua University Beijing China. Department of Mathematical Sciences Tsinghua University Beijing China. Center of Hubei Cooperative Innovation for Emissions Trading System Wuhan China. Institut Pierre-Simon Laplace Sorbonne Université / CNRS Paris France. Université Paris Dauphine Place du Maréchal de Lattre de Tassigny 75016 Paris France. Center for Energy and Environmental Policy Research Beijing Institute of Technology Beijing China. Department of Electrical Engineering the State Key Lab of Control and Simulation of Power Systems and Generation Equipment Institute for National Governance and G

A Correction to this paper has been published: https://***/10.1038/s41467-020-20254-5

关键词： Climate sciences Atmospheric science Environmental sciences Environmental social sciences

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Interfacial damage extraction method for SiC power MOSFETs based on C-V characteristics 29

Interfacial damage extraction method for SiC power MOSFETs b...

引用

29th International Symposium on Power Semiconductor Devices and IC's, ISPSD 2017

作者： Wei, Jiaxing Liu, Siyang Ye, Ran Chen, Xin Song, Haiyang Sun, Weifeng Su, Wei Ma, Shulang Liu, Yuwei Lin, Feng Hou, Bo National ASIC System Engineering Research Center Southeast University Nanjing China CSMC Technologies Corporation Wuxi China Sci. and Technol. on Reliability Phys. and Application Technology of Electronic Component Laboratory Guangzhou China

ISBN: (纸本)9781509051724

In this work, a useful interfacial damage extraction method for SiC power MOSFETs based on the C-V characteristics is proposed. According to the five different interface situations of the channel region and the JFET region, the Cg-Vg curve can be divided into five relatively independent parts. It demonstrates that the charges injected into the oxide of channel region will lead to an opposite shift in part 11 while the charges injected into the JFET region will result in the shifts in part 111 and IV. Through this way, the location of the charges injected in to the SiO2/SiC interface can be distinguished. The correctness of the method is proved by a UIS-stressed SiC power MOSFET. Moreover, the density of the charges injected into the interface oxide can be calculated by the amplitude of the shift in the Cg-Vg characteristic. © 2017 IEEJ.

关键词： Silicon carbide

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Author Correction: Contribution of Ryugu-like material to Earth’s volatile inventory by Cu and Zn isotopic analysis

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Nature Astronomy 2023年 633页

作者： Marine Paquet Frederic Moynier Wei Dai Yan Hu Martin Bizzarro Marc Chaussidon Tetsuya Yokoyama Ikshu Gautam Makiko K. Haba Akira Ishikawa Yuki Masuda Yoshinari Abe Jérôme Aléon Conel M. O’D. Alexander Richard W. Carlson Larry Nittler Sachiko Amari Yuri Amelin Ken-ichi Bajo Noriyuki Kawasaki Sohei Wada Hisayoshi Yurimoto Audrey Bouvier Byeon-Gak Choi Nicolas Dauphas Andrew M. Davis Tommaso Di Rocco Andreas Pack Wataru Fujiya Ryota Fukai Tomohiro Usui Kanako Sakamoto Masanao Abe Akiko Miyazaki Aiko Nakato Masahiro Nishimura Tatsuaki Okada Toru Yada Kasumi Yogata Satoru Nakazawa Takanao Saiki Satoshi Tanaka Yuichi Tsuda Makoto Yoshikawa Yuki Hibiya Hiroshi Hidaka Sei-ichiro Watanabe Hisashi Homma Peter Hoppe Gary R. Huss Alexander N. Krot Kazuhide Nagashima Kiyohiro Ichida Shintaro Komatani Mayu Morita Morihiko Onose Tsuyoshi Iizuka Trevor R. Ireland Motoo Ito Takaaki Noguchi Shoichi Itoh Noriko T. Kita Kouki Kitajima Thorsten Kleine Ming-Chang Liu Kevin D. McKeegan Lauren Tafla Haolan Tang Edward D. Young Kazuko Motomura Izumi Nakai David Nesvorný Ann N. Nguyen Changkun Park Laurette Piani Liping Qin Sara S. Russell Naoya Sakamoto Maria Schönbächler Kentaro Terada Yasuko Terada Meenakshi Wadhwa Richard J. Walker Katsuyuki Yamashita Qing-Zhu Yin Shigekazu Yoneda Hiroharu Yui Ai-Cheng Zhang Tomoki Nakamura Hiroshi Naraoka Ryuji Okazaki Hikaru Yabuta Fuyuto Terui Shogo Tachibana Université Paris Cité Institut de Physique du Globe de Paris CNRS Paris France Centre for Star and Planet Formation GLOBE Institute University of Copenhagen Copenhagen Denmark Department of Earth and Planetary Sciences Tokyo Institute of Technology Tokyo Japan Graduate School of Engineering Materials Science and Engineering Tokyo Denki University Tokyo Japan Institut de Minéralogie de Physique des Matériaux et de Cosmochimie Sorbonne Université Muséum National d’Histoire Naturelle CNRS UMR 7590 IRD Paris France Earth and Planets Laboratory Carnegie Institution for Science Washington DC USA McDonnell Center for the Space Sciences and Physics Department Washington University St. Louis MO USA Guangzhou Institute of Geochemistry Chinese Academy of Sciences Guangzhou China Natural History Sciences IIL Hokkaido University Sapporo Japan Bayerisches Geoinstitut Universität Bayreuth Bayreuth Germany Department of Earth Science Education Seoul National University Seoul Republic of Korea Department of the Geophysical Sciences and Enrico Fermi Institute The University of Chicago Chicago IL USA Faculty of Geosciences and Geography University of Göttingen Göttingen Germany Faculty of Science Ibaraki University Mito Japan ISAS/JSEC JAXA Sagamihara Japan General Systems Studies The University of Tokyo Tokyo Japan Earth and Planetary Sciences Nagoya University Nagoya Japan Osaka Application Laboratory SBUWDX Rigaku Corporation Osaka Japan Max Planck Institute for Chemistry Mainz Germany Hawai’i Institute of Geophysics and Planetology University of Hawai’i at Mānoa Honolulu HI USA Analytical Technology Horiba Techno Service Co. Ltd Kyoto Japan Earth and Planetary Science The University of Tokyo Tokyo Japan School of Earth and Environmental Sciences The University of Queensland St Lucia Queensland Australia Kochi Institute for Core Sample Research JAMSTEC Kochi Japan Earth and Planetary Sciences Kyoto University Kyoto Japan Geoscience Universit

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Distance Measurement system Based on Binocular Stereo Vision

引用

IOP Conference Series. Earth and Environmental Science 2019年第5期252卷 052051-052051页

作者： Sun, Xiyan Ji, Yuanfa Jiang, Yingzhou Fu, Wentao Yan, Suqing Chen, Qidong Yu, Baoguo Gan, Xingli Guangxi Key Laboratory of Precision Navigation Technology and Application Guilin University of Electronic Technology Guilin 541004 China National & Local Joint Engineering Research Center of Satellite Navigation and Location Service Guilin 541004 China Guangxi Experiment Center of Information Science Guilin University of Electronic Technology Guilin 541004 China Guangxi Key Laboratory of Precision Navigation Technology and Application Guilin University of Electronic Technology Guilin 541004 China National & Local Joint Engineering Research Center of Satellite Navigation and Location Service Guilin 541004 China Key laboratory of radio wave environment and modeling technology Qingdao 266000 China State key laboratory of satellite navigation system and equipment technology Shijiazhuang 050000 China

Binocular stereo vision uses two cameras of the same specification instead of human eyes for measurement and judgment. The basic principle of binocular vision ranging is to simultaneously capture the image of the measured object by using two left and right cameras. The objectmeasuredisdifferent, andthe positions under the different camera screensaredifferent, this difference in position is called disparity. The three-dimensional information of the object is obtained according to the principle of disparity. The binocular stereo vision ranging system, which combines the advantages of high efficiency and high precision, is ideal for non-contact detection and quality control. This paper proposes a method combining MATLAB calibration and OpenCV matching to achieve binocular stereo vision. Using the MATLAB calibration tool to perform stereo calibration of the camera, combined with OpenCV for stereo rectification and stereo matching, the disparity value is obtained, and the distance from the target to the camera is calculated by disparity. simulations show that this method can satisfy the distance measurement.

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Interfacial damage extraction method for SiC power MOSFETs based on C-V characteristics

Interfacial damage extraction method for SiC power MOSFETs b...

引用

International Symposium on Power Semiconductor Devices and Ics (ISPSD)

作者： Jiaxing Wei Siyang Liu Ran Ye Xin Chen Haiyang Song Weifeng Sun Wei Su Shulang Ma Yuwei Liu Feng Lin Bo Hou National ASIC System Engineering Research Center Southeast University Nanjing China CSMC Technologies Corporation Wuxi China Science and Technology on Reliability Physics and Application Technology of Electronic Component Laboratory Guangzhou China

In this work, a useful interfacial damage extraction method for SiC power MOSFETs based on the C-V characteristics is proposed. According to the five different interface situations of the channel region and the JFET region, the Cg-Vg curve can be divided into five relatively independent parts. It demonstrates that the charges injected into the oxide of channel region will lead to an opposite shift in part 11 while the charges injected into the JFET region will result in the shifts in part 111 and IV. Through this way, the location of the charges injected in to the SiO 2 /SiC interface can be distinguished. The correctness of the method is proved by a UIS-stressed SiC power MOSFET. Moreover, the density of the charges injected into the interface oxide can be calculated by the amplitude of the shift in the Cg-Vg characteristic.

关键词： Radio frequency Stress

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Author Correction: Near-real-time monitoring of global CO2 emissions reveals the effects of the COVID-19 pandemic

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Nature communications 2020年第1期11卷 6292页

作者： Zhu Liu Philippe Ciais Zhu Deng Ruixue Lei Steven J Davis Sha Feng Bo Zheng Duo Cui Xinyu Dou Biqing Zhu Rui Guo Piyu Ke Taochun Sun Chenxi Lu Pan He Yuan Wang Xu Yue Yilong Wang Yadong Lei Hao Zhou Zhaonan Cai Yuhui Wu Runtao Guo Tingxuan Han Jinjun Xue Olivier Boucher Eulalie Boucher Frédéric Chevallier Katsumasa Tanaka Yiming Wei Haiwang Zhong Chongqing Kang Ning Zhang Bin Chen Fengming Xi Miaomiao Liu François-Marie Bréon Yonglong Lu Qiang Zhang Dabo Guan Peng Gong Daniel M Kammen Kebin He Hans Joachim Schellnhuber Department of Earth System Science Tsinghua University Beijing China. zhuliu@***. Laboratoire des Sciences du Climat et de l'Environnement LSCE CEA CNRS UVSQ Centre d'Etudes Orme de Merisiers Gif-sur-Yvette France. Department of Earth System Science Tsinghua University Beijing China. Department of Meteorology and Atmospheric Science The Pennsylvania State University University Park PA USA. Department of Earth System Science University of California Irvine 3232Croul Hall Irvine CA USA. Division of Geological and Planetary Sciences California Institute of Technology Pasadena CA USA. Jet Propulsion Laboratory California Institute of Technology Pasadena CA USA. Jiangsu Key Laboratory of Atmospheric Environment Monitoring and Pollution Control Collaborative Innovation Center of Atmospheric Environment and Equipment Technology School of Environmental Science and Engineering Nanjing University of Information Science and Technology Nanjing China. Key Laboratory of Land Surface Pattern and Simulation Institute of Geographical Sciences and Natural Resources Research Chinese Academy of Sciences Beijing China. Climate Change Research Center Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China. Key Laboratory of Middle Atmosphere and Global Environment Observation Institute of Atmospheric Physics Chinese Academy of Sciences Beijing China. School of Environment Tsinghua University Beijing China. School of Mathematical School Tsinghua University Beijing China. Department of Mathematical Sciences Tsinghua University Beijing China. Center of Hubei Cooperative Innovation for Emissions Trading System Wuhan China. Faculty of Management and Economics Kunming University of Science and Technology 13 Kunming China. Economic Research Centre of Nagoya University Furo-cho Chikusa-ku Nagoya Japan. Institut Pierre-Simon Laplace Sorbonne Université/CNRS Paris France. Université Paris Dauphine Place du Maréchal de Lattre de Tassigny 75016 Paris France.

A Correction to this paper has been published: https://***/10.1038/s41467-020-20254-5.

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The XYZ states: Experimental and theoretical status and perspectives

arXiv

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arXiv 2019年

作者： Brambilla, Nora Eidelman, Simon Hanhartf, Christoph Nefedievh, Alexey Shen, Cheng-Ping Thomas, Christopher E. Vairo, Antonio Yuan, Chang-Zheng School of Physics and Nuclear Energy Engineering Beihang University Beijing100191 Budker Institute of Nuclear Physics SB RAS Novosibirsk630090 Russia University of Chinese Academy of Sciences Beijing100049 China DAMTP University of Cambridge Wilberforce Road CambridgeCB30WA United Kingdom Key Laboratory of Nuclear Physics and Ion-beam Application Institute of Modern Physics Fudan University Shanghai200433 Institute for Advanced Simulation Institut für Kernphysik Jülich Center for Hadron Physics Forschungszentrum Jülich JülichD-52425 Germany Institute of High Energy Physics Chinese Academy of Sciences Beijing100049 China P.N. Lebedev Physical Institute of the Russian Academy of Sciences Leninskiy Prospect 53 Moscow119991 Russia Moscow Institute of Physics and Technology Institutsky lane 9 Dolgoprudny Moscow Region141700 Russia National Research Nuclear University MEPhI Kashirskoe highway 31 Moscow115409 Russia Novosibirsk State University Novosibirsk630090 Russia Physik Department Technische Universität München GarchingD-85748 Germany Institute for Advanced Study Universität München Lichtenbergstrasse 2 GarchingD-85748 Germany

The quark model was formulated in 1964 to classify mesons as bound states made of a quark-antiquark pair, and baryons as bound states made of three quarks. For a long time all known mesons and baryons could be classified within this scheme. Quantum Chromodynamics (QCD), however, in principle also allows the existence of more complex structures, generically called exotic hadrons or simply exotics. These include four-quark hadrons (tetraquarks and hadronic molecules), five-quark hadrons (pentaquarks) and states with active gluonic degrees of freedom (hybrids), and even states of pure glue (glueballs). Exotic hadrons have been systematically searched for in numerous experiments for many years. Remarkably, in the past fifteen years, many new hadrons that do not exhibit the expected properties of ordinary (not exotic) hadrons have been discovered in the quarkonium spectrum. These hadrons are collectively known as XYZ states. Some of them, like the charged states, are undoubtedly exotic. Parallel to the experimental progress, the last decades have also witnessed an enormous theoretical effort to reach a theoretical understanding of the XYZ states. Theoretical approaches include not only phenomenological extensions of the quark model to exotics, but also modern non-relativistic effective field theories and lattice QCD calculations. The present work aims at reviewing the rapid progress in the field of exotic XYZ hadrons over the past few years both in experiments and theory. It concludes with a summary on future prospects and challenges. Copyright © 2019, The Authors. All rights reserved.

关键词： Quantum theory

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Neural network potential for Al-Mg-Si alloys

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Physical Review Materials 2017年第5期1卷 053604-053604页

作者： Ryo Kobayashi Daniele Giofré Till Junge Michele Ceriotti William A. Curtin Department of Scientific and Engineering Simulation Nagoya Institute of Technology Gokiso-cho Showa-ku Nagoya 466-8555 Japan Center for Materials research by Information Integration (CMI2) Research and Services Division of Materials Data and Integrated System (MaDIS) National Institute for Materials Science (NIMS) 1-2-1 Sengen Tsukuba Ibaraki 305-0047 Japan Institute of Materials Science École Polytechnique Fédérale de Lausanne CH-1015 Vaud Switzerland Institute of Mechanical Engineering École Polytechnique Fédérale de Lausanne CH-1015 Vaud Switzerland

The 6000 series Al alloys, which include a few percent of Mg and Si, are important in automotive and aviation industries because of their low weight, as compared to steels, and the fact their strength can be greatly improved through engineered precipitation. To enable atomistic-level simulations of both the processing and performance of this important alloy system, a neural network (NN) potential for the ternary Al-Mg-Si has been created. Training of the NN uses an extensive database of properties computed using first-principles density functional theory, including complex precipitate phases in this alloy. The NN potential accurately reproduces most of the pure Al properties relevant to the mechanical behavior as well as heat of solution, solute-solute, and solute-vacancy interaction energies, and formation energies of small solute clusters and precipitates that are required for modeling the early stage of precipitation and mechanical strengthening. This success not only enables future detailed studies of Al-Mg-Si but also highlights the ability of NN methods to generate useful potentials in complex alloy systems.

关键词： Defects Plasticity Alloys Face-centered cubic Solid solutions Machine learning Molecular dynamics

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Is the winner really the best? A critical analysis of common research practice in biomedical image analysis competitions

arXiv

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arXiv 2018年

作者： Maier-Hein, Lena Eisenmann, Matthias Reinke, Annika Onogur, Sinan Stankovic, Marko Scholz, Patrick Arbel, Tal Bogunovic, Hrvoje Bradley, Andrew P. Carass, Aaron Carolin Feldmann Frangi, Alejandro F. Ful, Peter M. van Ginneken, Bram Hanbury, Allan Honauer, Katrin Kozubek, Michal Landman, Bennett A. Marz, Keno Maier, Oskar Maier-Hein, Klaus Menze, Bjoern H. Müller, Henning Neher, Peter F. Niessen, Wiro Rajpoot, Nasir Sharp, Gregory C. Sirinukunwattana, Korsuk Speidel, Stefanie Stock, Christian Stoyanov, Danail Taha, Abdel Aziz van der Sommen, Fons Wang, Ching-Wei Weber, Marc-André Zheng, Guoyan Jannin, Pierre Kopp-Schneider, Annette Heidelberg Germany Centre for Intelligent Machines McGill University MontrealQC Canada Christian Doppler Laboratory for Ophthalmic Image Analysis Department of Ophthalmology Medical University Vienna Vienna Austria Science and Engineering Faculty Queensland University of Technology BrisbaneQLD Australia Department of Electrical and Computer Engineering Department of Computer Science Johns Hopkins University Baltimore United States CISTIB Centre for Computational Imaging and Simulation Technologies in Biomedicine University of Sheffield Sheffield United Kingdom Department of Radiology and Nuclear Medicine Medical Image Analysis Radboud University Center Nijmegen Netherlands Institute of Information Systems Engineering TU Wien Vienna Austria Heidelberg University Heidelberg Germany Centre for Biomedical Image Analysis Masaryk University Brno Czech Republic Electrical Engineering Vanderbilt University NashvilleTN United States Institute of Medical Informatics Universität zu Lübeck Lübeck Germany Heidelberg Germany Institute for Advanced Studies Department of Informatics Technical University of Munich Munich Germany Information System Institute HES-SO Sierre Switzerland Departments of Radiology Nuclear Medicine and Medical Informatics Erasmus MC Rotterdam Netherlands Department of Computer Science University of Warwick Coventry United Kingdom Department of Radiation Oncology Massachusetts General Hospital BostonMA United States Institute of Biomedical Engineering University of Oxford Oxford United Kingdom National Center for Tumor Diseases Dresden Dresden Germany Heidelberg Germany Department of Computer Science University College London London United Kingdom Data Science Studio Research Studios Austria FG Vienna Austria Department of Electrical Engineering Eindhoven University of Technology Eindhoven Netherlands AIExplore NTUST Center of Computer Vision and Medical Imaging Graduate Institute of Biomedical Engineering National Ta

International challenges have become the standard for validation of biomedical image analysis methods. Given their scientific impact, it is surprising that a critical analysis of common practices related to the organization of challenges has not yet been performed. In this paper, we present a comprehensive analysis of biomedical image analysis challenges conducted up to now. We demonstrate the importance of challenges and show that the lack of quality control has critical consequences. First, reproducibility and interpretation of the results is often hampered as only a fraction of relevant information is typically provided. Second, the rank of an algorithm is generally not robust to a number of variables such as the test data used for validation, the ranking scheme applied and the observers that make the reference annotations. To overcome these problems, we recommend best practice guidelines and define open research questions to be addressed in the future. Copyright © 2018, The Authors. All rights reserved.

关键词： Quality control

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Fabrication of Diamond-Like Carbon Microgears in Roomerature Curing Nanoimprint Lithography Using Ladder-Type Hydrogen Silsesquioxane

Fabrication of Diamond-Like Carbon Microgears in Roomerature...

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作者： Kiyohara, Shuji Shimizu, Yuto Ishikawa, Ippei Harigai, Toru Takikawa, Hirofumi Watanabe, Masahiko Sugiyama, Yoshinari Omata, Yukiko Kurashima, Yuichi Electric and Electron System Engineering Course Department of Multidisciplinary Engineering Faculty of Advanced Engineering National Institute of Technology 234 Aza Shiroya Maizuru Kyoto625-8511 Japan Department of Electrical and Electronic Information Engineering Toyohashi University of Technology 1-1 Hibarigaoka Tempaku Toyohashi Aichi441-8580 Japan Application and Technical Section Elionix Inc. 3-7-6 Motoyokoyama Hachioji Tokyo192-0063 Japan Research Center for Ubiquitous MEMS and Micro Engineering National Institute of Advanced Industrial Science and Technology 1-2-1 Namiki Tsukuba Ibaraki305-8564 Japan

We investigated the fabrication of convex diamond-like carbon (DLC) based microgears in roomerature curing nanoimprint lithography (RTC-NIL) using the ladder-type hydrogen silsesquioxane (HSQ), as an application for the medical micro electro mechanical system (MEMS). The HSQ which is an inorganic polymer of sol-gel system turns into a gel when exposed to air and has the siloxane bond. Therefore, the HSQ was used as RT-imprinting material, and also used as an oxide mask material in electron cyclotron resonance (ECR) oxygen (O2) ion shower etching. We fabricated the polydimethylsiloxane (PDMS) mold with concave microgear patterns which has 40, 50 and 60 μm-tip diameter and 300 nm-depth. We carried out the RTC-NIL process using the PDMS mold under the following optimum conditions of 0.10 MPa-imprinting pressure and 1.0 min-imprinting time. We found that the residual layer of imprinted HSQ microgear patterns was removed with ECR trifluoromethane (CHF3) ion shower under the following conditions of 300 eV-ion energy and 2.0 min-etching time, and then microgears of the HSQ on the DLC film were etched with ECR O2 ion shower under the following conditions of 400 eV-ion energy and 10 min-etching time. As a result, the convex DLC based microgears which have 40, 50 and 60 μm-tip diameter and 400 nm-height were fabricated with high accuracy in the new fabrication process of RTC-NIL. © 2016 Materials research Society.

关键词： Silicones

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