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3篇 您的检索式:作者名="Yuan Hsing Fu"
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1Advances in lithium niobate photonics:development status and perspectives显示文摘Lithium niobate(LN)has experienced significant developments during past decades due to its versatile properties,especially its large electro-optic(EO)coefficient.For example,bulk LN-based modulators with high speeds and a superior linearity are widely used in typical fiber-optic communication systems.However,with everincreasing demands for signal transmission capacity,the high power and large size of bulk LN-based devices pose great challenges,especially when one of its counterparts,integrated silicon photonics,has experienced dramatic developments in recent decades.Not long ago,high-quality thin-film LN on insulator(LNOI)became commercially available,which has paved the way for integrated LN photonics and opened a hot research area of LN photonics devices.LNOI allows a large refractive index contrast,thus light can be confined within a more compact structure.Together with other properties of LN,such as nonlinear/acousto-optic/pyroelectric effects,various kinds of high-performance integrated LN devices can be demonstrated.A comprehensive summary of advances in LN photonics is provided.As LN photonics has experienced several decades of development,our review includes some of the typical bulk LN devices as well as recently developed thin film LN devices.In this way,readers may be inspired by a complete picture of the evolution of this technology.We first introduce the basic material properties of LN and several key processing technologies for fabricating photonics devices.After that,various kinds of functional devices based on different effects are summarized.Finally,we give a short summary and perspective of LN photonics.We hope this review can give readers more insight into recent advances in LN photonics and contribute to the further development of LN related research.Guanyu Chen Nanxi Li Jun Da Ng Hong-Lin Lin Yanyan Zhou Yuan Hsing Fu Lennon Yao Ting Lee Yu Yu Ai-Qun Liu Aaron J.Danner 2022Advanced Photonics2022,4,3:6
2Metasurface-based subtractive color filter fabricated on a 12-inch glass wafer using a CMOS platform显示文摘Optical color filters are widely applied in many areas including display,imaging,sensing,holography,energy harvest,and measurement.Traditional dye-based color filters have drawbacks such as environmental hazards and instability under high temperature and ultraviolet radiation.With advances in nanotechnology,structural color filters,which are based on the interaction of light with designed nanostructures,are able to overcome the drawbacks.Also,it is possible to fabricate structural color filters using standard complementary metal-oxide-semiconductor(CMOS)fabrication facilities with low cost and high volume.In this work,metasurface-based subtractive color filters(SCFs)are demonstrated on 12-inch(300-mm)glass wafers using a CMOS-compatible fabrication process.In order to make the transmissive-type SCF on a transparent glass wafer,an in-house developed layer transfer process is used to solve the glass wafer handling issue in fabrication tools.Three different heights of embedded silicon nanopillars(110,170,and 230 nm)are found to support magnetic dipole resonances.With pillar height and pitch variation,SCFs with different displayed colors are achieved.Based on the resonance wavelength,the displayed color of the metasurface is verified within the red-yellow-blue color wheel.The simulation and measurement results are compared and discussed.The work provides an alternative design for high efficiency color filters on a CMOS-compatible platform,and paves the way towards mass-producible large-area metasurfaces.ZHENGJI XU NANXI LI YUAN DONG YUAN HSING FU TING HU QIZE ZHONG YANYAN ZHOU DONGDONG Li SHIYANG ZHU NAVAB SINGH 2021Photonics Research2021,9,1:3
3全基因组关联研究发现中国人群前列腺癌两个新易感位点9q31.2和19q13.4显示文摘0前言在全球范围内,前列腺癌的发病率和病死率存在着巨大差异。该病在西方发达国家发病率最高,在非裔美国人群病死率最高,而在亚洲人群中发病率及病死率均为全球最低,提示不同人种在前列腺癌的遗传方面存在异质性。在欧美和日本人群中,全基因组关联研究(GWAS)技术已经被用于检测前列腺癌的遗传易感性位点,但至今尚无关于GWAS检测中国人群前列腺癌易感位点的报道。Jianfeng Xu Zengnan Mo Dingwei Ye Meilin Wang Fang Liu Guangfu Jin Chuanliang Xu Xiang Wang Qiang Shao Zhiwen Chen Zhihua Tao Jun Qi Fangjian Zhou Zhong Wang Yaowen Fu Dalin He Qiang Wei Jianming Guo Denglong Wu Xin Gao Jianlin Yuan Gongxian Wang Yong Xu Guozeng Wang Haijun Yao Pei Dong Yang Jiao Mo Shen Jin Yang Jun Ou-Yang Haowen Jiang Yao Zhu Shancheng Ren Zhengdong Zhang Changjun Yin Xu Gao Bo Dai Zhibin Hu Yajun Yang Qijun Wu Hongyan Chen Peng Peng Ying Zheng Xiaodong Zheng Yongbing Xiang Jirong Long Jian Gong Rong Na Xiaoling Lin Hongjie Yu Sha Tao Junjie Feng Jishan Sun Wennuan Liu Ann Hsing Jianyu Rao Qiang Ding Fredirik Wiklund Henrik Gronberg Xiao-Ou Shu Wei Zheng Hongbing Shen Li Jin Rong Shi Daru Lu Xuejun Zhang Jielin Sun S Lilly Zheng Yinghao Sun 2013第二军医大学学报2013,34,4:0
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