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1广泛耐药革兰阴性菌感染的实验诊断、抗菌治疗及医院感染控制:中国专家共识显示文摘广泛耐药革兰阴性杆菌(XDR-GNB),是指除1~2类抗菌药物(主要指多黏菌素和替加环素)外,几乎对所有类别抗菌药物均不敏感的革兰阴性杆菌。XDR-GNB常见于肠杆菌科细菌、鲍曼不动杆菌、铜绿假单胞菌和嗜麦芽窄食单胞菌等。近年来,中国XDR-GNB的发生率呈不断上升趋势,由于缺乏有效的治疗药物,XDR-GNB感染成为公共卫生安全的一大威胁。我国有关感染的临床、微生物学及临床药理学专家们就XDR-GNB感染的实验室诊断、临床诊疗和医院感染控制等问题深入讨论,形成此共识。其中细菌药敏试验的抗菌药物品种及结果判定标准遵循美国临床和实验室标准化协会(CLSI)、欧洲抗菌药物敏感性试验委员会(EUCAST)或美国食品与药物监督管理局(FDA)的指南。研究提示长疗程使用广谱抗菌药物是引发XDR-GNB感染最重要的危险因素。根据现有的临床研究和实验室数据,共识提供治疗各种XDRGNB感染的联合用药推荐方案,其中常用的抗菌药物有替加环素、多黏菌素、碳青霉烯类、氨基糖苷类和磷霉素等。同时建议实行严格的感染控制措施,包括手卫生、接触隔离、主动筛查、环境消毒、去定植和抗菌药物应用管理等遏制XDRGNB感染的传播。王明贵 X.Guan L.He B.Hu J.Hu X.Huang G.Lai Y.Li Y.Liu Y.Ni H.Qiu Z.Shao Y.Shi M.Wang R.Wang D.Wu C.Xie Y.Xu F.Yang K.Yu Y.Yu J.Zhang C.Zhuo 2017中国感染与化疗杂志2017,17,1:269
2Future Physics Programme of BESⅢ显示文摘There has recently been a dramatic renewal of interest in hadron spectroscopy and charm physics. This renaissance has been driven in part by the discovery of a plethora of charmonium-like XYZ states at BESⅢ and B factories, and the observation of an intriguing proton-antiproton threshold enhancement and the possibly related X(1835) meson state at BESⅢ, as well as the threshold measurements of charm mesons and charm baryons. We present a detailed survey of the important topics in tau-charm physics and hadron physics that can be further explored at BESⅢ during the remaining operation period of BEPCⅡ. This survey will help in the optimization of the data-taking plan over the coming years, and provides physics motivation for the possible upgrade of BEPCⅡ to higher luminosity.M.Ablikim M.N.Achasov P.Adlarson S.Ahmed M.Albrecht M.Alekseev A.Amoroso F.F.An Q.An Y.Bai O.Bakina R.Baldini Ferroli Y.Ban K.Begzsuren J.V.Bennett N.Berger M.Bertani D.Bettoni F.Bianchi J Biernat J.Bloms I.Boyko R.A.Briere L.Calibbi H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.Chai J.F.Chang W.L.Chang J.Charles G.Chelkov Chen G.Chen H.S.Chen J.C.Chen M.L.Chen S.J.Chen Y.B.Chen H.Y.Cheng W.Cheng G.Cibinetto F.Cossio X.F.Cui H.L.Dai J.P.Dai X.C.Dai A.Dbeyssi D.Dedovich Z.Y.Deng A.Denig Denysenko M.Destefanis S.Descotes-Genon F.De Mori Y.Ding C.Dong J.Dong L.Y.Dong M.Y.Dong Z.L.Dou S.X.Du S.I.Eidelman J.Z.Fan J.Fang S.S.Fang Y.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng M.Fritsch C.D.Fu Y.Fu Q.Gao X.L.Gao Y.Gao Y.Gao Y.G.Gao Z.Gao B.Garillon I.Garzia E.M.Gersabeck A.Gilman K.Goetzen L.Gong W.X.Gong W.Gradl M.Greco L.M.Gu M.H.Gu Y.T.Gu A.Q.Guo F.K.Guo L.B.Guo R.P.Guo Y.P.Guo A.Guskov S.Han X.Q.Hao F.A.Harris K.L.He F.H.Heinsius T.Held Y.K.Heng Y.R.Hou Z.L.Hou H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang J.S.Huang X.T.Huang X.Z.Huang Z.L.Huang N.Huesken T.Hussain W.Ikegami Andersson W.Imoehl M.Irshad Q.Ji Q.P.Ji X.B.Ji X.L.Ji H.L.Jiang X.S.Jiang X.Y.Jiang J.B.Jiao Z.Jiao D.P.Jin S.Jin Y.Jin T.Johansson N.Kalantar-Nayestanaki X.S.Kang R.Kappert M.Kavatsyuk B.C.Ke I.K.Keshk T.Khan A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc M.Kurth M.G.Kurth W.Kuhn J.S.Lange P.Larin L.Lavezzi H.Leithoff T.Lenz C.Li Cheng Li D.M.Li F.Li F.Y.Li G.Li H.B.Li H.J.Li J.C.Li J.W.Li Ke Li L.K.Li Lei Li P.L.Li P.R.Li Q.Y.Li W.D.Li W.G.Li X.H.Li X.L.Li X.N.Li X.Q.Li Z.B.Li H.Liang H.Liang Y.F.Liang Y.T.Liang G.R.Liao L.Z.Liao J.Libby C.X.Lin D.X.Lin Y.J.Lin B.Liu B.J.Liu C.X.Liu D.Liu D.Y.Liu F.H.Liu Fang Liu Feng Liu H.B.Liu H.M.Liu Huanhuan Liu Huihui Liu J.B.Liu J.Y.Liu K.Y.Liu Ke Liu Q.Liu S.B.Liu T.Liu X.Liu X.Y.Liu Y.B.Liu Z.A.Liu Zhiqing Liu Y.F.Long X.C.Lou H.J.Lu J.D.Lu J.G.Lu Y.Lu Y.P.Lu C.L.Luo M.X.Luo P.W.Luo T.Luo X.L.Luo S.Lusso X.R.Lyu F.C.Ma H.L.Ma L.L.Ma M.M.Ma Q.M.Ma X.N.Ma X.X.Ma X.Y.Ma Y.M.Ma F.E.Maas M.Maggiora S.Maldaner S.Malde Q.A.Malik A.Mangoni Y.J.Mao Z.P.Mao S.Marcello Z.X.Meng J.G.Messchendorp G.Mezzadri J.Min T.J.Min R.E.Mitchell X.H.Mo Y.J.Mo C.Morales Morales N.Yu.Muchnoi H.Muramatsu A.Mustafa S.Nakhoul Y.Nefedov F.Nerling I.B.Nikolaev Z.Ning S.Nisar S.L.Niu S.L.Olsen Q.Ouyang S.Pacetti Y.Pan M.Papenbrock P.Patteri M.Pelizaeus H.P.Peng K.Peters A.A.Petrov J.Pettersson J.L.Ping R.G.Ping A.Pitka R.Poling V.Prasad M.Qi T.Y.Qi S.Qian C.F.Qiao N.Qin X.P.Qin X.S.Qin Z.H.Qin J.F.Qiu S.Q.Qu K.H.Rashid C.F.Redmer M.Richter M.Ripka A.Rivetti V.Rodin M.Rolo G.Rong J.L.Rosner Ch.Rosner M.Rump A.Sarantsev M.Savrie K.Schoenning W.Shan X.Y.Shan M.Shao C.P.Shen P.X.Shen X.Y.Shen H.Y.Sheng X.Shi X.D Shi J.J.Song Q.Q.Song X.Y.Song S.Sosio C.Sowa S.Spataro F.F.Sui G.X.Sun J.F.Sun L.Sun S.S.Sun X.H.Sun Y.J.Sun Y.K Sun Y.Z.Sun Z.J.Sun Z.T.Sun Y.T Tan C.J.Tang G.Y.Tang X.Tang V.Thoren B.Tsednee I.Uman B.Wang B.L.Wang C.W.Wang D.Y.Wang H.H.Wang K.Wang L.L.Wang L.S.Wang M.Wang M.Z.Wang Wang Meng P.L.Wang R.M.Wang W.P.Wang X.Wang X.F.Wang X.L.Wang Y.Wang Y.F.Wang Z.Wang Z.G.Wang Z.Y.Wang Zongyuan Wang T.Weber D.H.Wei P.Weidenkaff H.W.Wen S.P.Wen U.Wiedner G.Wilkinson M.Wolke L.H.Wu L.J.Wu Z.Wu L.Xia Y.Xia S.Y.Xiao Y.J.Xiao Z.J.Xiao Y.G.Xie Y.H.Xie T.Y.Xing X.A.Xiong Q.L.Xiu G.F.Xu L.Xu Q.J.Xu W.Xu X.P.Xu F.Yan L.Yan W.B.Yan W.C.Yan Y.H.Yan H.J.Yang H.X.Yang L.Yang R.X.Yang S.L.Yang Y.H.Yang Y.X.Yang Yifan Yang Z.Q.Yang M.Ye M.H.Ye J.H.Yin Z.Y.You B.X.Yu C.X.Yu J.S.Yu C.Z.Yuan X.Q.Yuan Y.Yuan A.Yuncu A.A.Zafar Y.Zeng B.X.Zhang B.Y.Zhang C.C.Zhang D.H.Zhang H.H.Zhang H.Y.Zhang J.Zhang J.L.Zhang J.Q.Zhang J.W.Zhang J.Y.Zhang J.Z.Zhang K.Zhang L.Zhang S.F.Zhang T.J.Zhang X.Y.Zhang Y.Zhang Y.H.Zhang Y.T.Zhang Yang Zhang Yao Zhang Yi Zhang Yu Zhang Z.H.Zhang Z.P.Zhang Z.Q.Zhang Z.Y.Zhang G.Zhao J.W.Zhao J.Y.Zhao J.Z.Zhao Lei Zhao Ling Zhao M.G.Zhao Q.Zhao S.J.Zhao T.C.Zhao Y.B.Zhao Z.G.Zhao A.Zhemchugov B.Zheng J.P.Zheng Y.Zheng Y.H.Zheng B.Zhong L.Zhou L.P.Zhou Q.Zhou X.Zhou X.K.Zhou Xingyu Zhou Xiaoyu Zhou Xu Zhou A.N.Zhu J.Zhu J.Zhu K.Zhu K.J.Zhu S.H.Zhu W.J.Zhu X.L.Zhu Y.C.Zhu Y.S.Zhu Z.A.Zhu J.Zhuang B.S.Zou J.H.Zou 2020Chinese Physics C2020,44,4:517
3Study of BESIII trigger efficiencies with the 2018 J/ψ data显示文摘Using a dedicated data sample taken in 2018 on the J/ψpeak,we perform a detailed study of the trigger efficiencies of the BESIII detector.The efficiencies are determined from three representative physics processes,namely Bhabha scattering,dimuon production and generic hadronic events with charged particles.The combined efficiency of all active triggers approaches 100%in most cases,with uncertainties small enough not to affect most physics analyses.M.Ablikim M.N.Achasov P.Adlarson S.Ahmed M.Albrecht R.Aliberti A.Amoroso M.R.An Q.An X.H.Bai Y.Bai O.Bakina R.Baldini Ferroli I.Balossino Y.Ban K.Begzsuren N.Berger M.Bertani D.Bettoni F.Bianchi J.Bloms A.Bortone I.Boyko R.A.Briere H.Cai X.Cai A.Calcaterra G.F.Cao N.Cao S.A.Cetin J.F.Chang W.L.Chang G.Chelkov D.Y.Chen G.Chen H.S.Chen M.L.Chen S.J.Chen X.R.Chen Y.B.Chen Z.J Chen W.S.Cheng G.Cibinetto F.Cossio X.F.Cui H.L.Dai X.C.Dai A.Dbeyssi R.E.de Boer D.Dedovich Z.Y.Deng A.Denig I.Denysenko M.Destefanis F.De Mori Y.Ding C.Dong J.Dong L.Y.Dong M.Y.Dong X.Dong S.X.Du Y.L.Fan J.Fang S.S.Fang Y.Fang R.Farinelli L.Fava F.Feldbauer G.Felici C.Q.Feng J.H.Feng M.Fritsch C.D.Fu Y.Gao Y.Gao Y.Gao Y.G.Gao I.Garzia P.T.Ge C.Geng E.M.Gersabeck A Gilman K.Goetzen L.Gong W.X.Gong W.Gradl M.Greco L.M.Gu M.H.Gu S.Gu Y.T.Gu C.Y Guan A.Q.Guo L.B.Guo R.P.Guo Y.P.Guo A.Guskov T.T.Han W.Y.Han X.Q.Hao F.A.Harris H Hüsken K.L.He F.H.Heinsius C.H.Heinz T.Held Y.K.Heng C.Herold M.Himmelreich T.Holtmann Y.R.Hou Z.L.Hou H.M.Hu J.F.Hu T.Hu Y.Hu G.S.Huang L.Q.Huang X.T.Huang Y.P.Huang Z.Huang T.Hussain W.Ikegami Andersson W.Imoehl M.Irshad S.Jaeger S.Janchiv Q.Ji Q.P.Ji X.B.Ji X.L.Ji H.B.Jiang X.S.Jiang J.B.Jiao Z.Jiao S.Jin Y.Jin T.Johansson N.Kalantar-Nayestanaki X.S.Kang R.Kappert M.Kavatsyuk B.C.Ke I.K.Keshk A.Khoukaz P.Kiese R.Kiuchi R.Kliemt L.Koch O.B.Kolcu B.Kopf M.Kuemmel M.Kuessner A.Kupsc M.G.Kurth W.Kühn J.J.Lane J.S.Lange P.Larin A.Lavania L.Lavezzi Z.H.Lei H.Leithoff M.Lellmann T.Lenz C.Li C.H.Li Cheng Li D.M.Li F.Li G.Li H.Li H.Li H.B.Li H.J.Li J.L.Li J.Q.Li J.S.Li Ke Li L.K.Li Lei Li P.R.Li S.Y.Li W.D.Li W.G.Li X.H.Li X.L.Li Z.Y.Li H.Liang H.Liang H.Liang Y.F.Liang Y.T.Liang L.Z.Liao J.Libby C.X.Lin B.J.Liu C.X.Liu D.Liu F.H.Liu Fang Liu Feng Liu H.B.Liu H.M.Liu Huanhuan Liu Huihui Liu J.B.Liu J.L.Liu J.Y.Liu K.Liu K.Y.Liu Ke Liu L.Liu M.H.Liu P.L.Liu Q.Liu Q.Liu S.B.Liu Shuai Liu T.Liu W.M.Liu X.Liu Y.Liu Y.B.Liu Z.A.Liu Z.Q.Liu X.C.Lou F.X.Lu H.J.Lu J.D.Lu J.G.Lu X.L.Lu Y.Lu Y.P.Lu C.L.Luo M.X.Luo b P.W.Luo T.Luo X.L.Luo S.Lusso X.R.Lyu F.C.Ma H.L.Ma L.L.Ma M.M.Ma Q.M.Ma R.Q.Ma R.T.Ma X.X.Ma X.Y.Ma F.E.Maas M.Maggiora S.Maldaner S.Malde Q.A.Malik A.Mangoni Y.J.Mao Z.P.Mao S.Marcello Z.X.Meng J.G.Messchendorp G.Mezzadri T.J.Min R.E.Mitchell X.H.Mo Y.J.Mo N.Yu.Muchnoi H.Muramatsu S.Nakhoul Y.Nefedov F.Nerling I.B.Nikolaev Z.Ning S.Nisar S.L.Olsen Q.Ouyang S.Pacetti X.Pan Y.Pan A.Pathak P.Patteri M.Pelizaeus H.P.Peng K.Peters J.Pettersson J.L.Ping R.G.Ping R.Poling V.Prasad H.Qi H.R.Qi K.H.Qi M.Qi T.Y.Qi T.Y.Qi S.Qian W.-B.Qian Z.Qian C.F.Qiao L.Q.Qin X.S.Qin Z.H.Qin J.F.Qiu S.Q.Qu K.H.Rashid K.Ravindran C.F.Redmer A.Rivetti V.Rodin M.Rolo G.Rong Ch.Rosner M.Rump H.S.Sang A.Sarantsev Y.Schelhaas C.Schnier K.Schoenning M.Scodeggio D.C.Shan W.Shan X.Y.Shan J.F.Shangguan M.Shao C.P.Shen P.X.Shen X.Y.Shen H.C.Shi R.S.Shi X.Shi X.D Shi W.M.Song Y.X.Song S.Sosio S.Spataro K.X.Su P.P.Su F.F.Sui G.X.Sun H.K.Sun J.F.Sun L.Sun S.S.Sun T.Sun W.Y.Sun X Sun Y.J.Sun Y.K.Sun Y.Z.Sun Z.T.Sun Y.H.Tan Y.X.Tan C.J.Tang G.Y.Tang J.Tang J.X.Teng V.Thoren I.Uman B.Wang C.W.Wang D.Y.Wang H.J.Wang H.P.Wang K.Wang L.L.Wang M.Wang M.Z.Wang Meng Wang W.Wang W.H.Wang W.P.Wang X.Wang X.F.Wang X.L.Wang Y.Wang Y.D.Wang Y.F.Wang Y.Q.Wang Y.Y.Wang Z.Wang Z.Y.Wang Ziyi Wang Zongyuan Wang D.H.Wei P.Weidenkaff F.Weidner S.P.Wen D.J.White U.Wiedner G.Wilkinson M.Wolke L.Wollenberg J.F.Wu L.H.Wu L.J.Wu X.Wu Z.Wu L.Xia H.Xiao S.Y.Xiao Z.J.Xiao X.H.Xie Y.G.Xie Y.H.Xie T.Y.Xing G.F.Xu Q.J.Xu W.Xu X.P.Xu F.Yan L.Yan W.B.Yan W.C.Yan Xu Yan H.J.Yang H.X.Yang L.Yang S.L.Yang Y.X.Yang Yifan Yang Zhi Yang M.Ye M.H.Ye J.H.Yin Z.Y.You B.X.Yu C.X.Yu G.Yu J.S.Yu T.Yu C.Z.Yuan L.Yuan X.Q.Yuan Y.Yuan Z.Y.Yuan C.X.Yue A.Yuncu A.A.Zafar Y.Zeng B.X.Zhang Guangyi Zhang H.Zhang H.H.Zhang H.Y.Zhang J.J.Zhang J.L.Zhang J.Q.Zhang J.W.Zhang J.Y.Zhang J.Z.Zhang Jianyu Zhang Jiawei Zhang L.Q.Zhang Lei Zhang S.Zhang S.F.Zhang Shulei Zhang X.D.Zhang X.Y.Zhang Y.Zhang Y.H.Zhang Y.T.Zhang Yan Zhang Yao Zhang Yi Zhang Z.H.Zhang Z.Y.Zhang G.Zhao J.Zhao J.Y.Zhao J.Z.Zhao Lei Zhao Ling Zhao M.G.Zhao Q.Zhao S.J.Zhao Y.B.Zhao Y.X.Zhao Z.G.Zhao A.Zhemchugov B.Zheng J.P.Zheng Y.Zheng Y.H.Zheng B.Zhong C.Zhong L.P.Zhou Q.Zhou X.Zhou X.K.Zhou X.R.Zhou A.N.Zhu J.Zhu K.Zhu K.J.Zhu S.H.Zhu T.J.Zhu W.J.Zhu W.J.Zhu Y.C.Zhu Z.A.Zhu B.S.Zou J.H.Zou 2021Chinese Physics C2021,45,2:33
4The AME2012 atomic mass evaluation(Ⅱ).Tables,graphs and references显示文摘This paper is the second part of the new evaluation of atomic masses,Ame2012.From the results of a leastsquares calculation,described in Part Ⅰ,for all accepted experimental data,we derive here tables and graphs to replace those of Ame2003.The first table lists atomic masses.It is followed by a table of the influences of data on primary nuclides,a table of separation energies and reaction energies,and finally,a series of graphs of separation and decay energies.The last section in this paper lists all references to the input data used in Part I of this AME2012 and also to the data included in the NUBASE2012 evaluation(first paper in this issue).M.Wang G.Audi A.H.Wapstra F.G.Kondev M.MacCormick X.Xu B.Pfeiffer 2012Chinese Physics C2012,36,12:30
5The AME2012 atomic mass evaluation(Ⅰ).Evaluation of input data,adjustment procedures显示文摘This paper is the first of two articles(Part Ⅰ and Part Ⅱ) that presents the results of the new atomic mass evaluation,Ame2012.It includes complete information on the experimental input data(including not used and rejected ones),as well as details on the evaluation procedures used to derive the tables with recommended values given in the second part.This article describes the evaluation philosophy and procedures that were implemented in the selection of specific nuclear reaction,decay and mass-spectrometer results.These input values were entered in the least-squares adjustment procedure for detemining the best values for the atomic masses and their uncertainties.Calculation procedures and particularities of the AME are then described.All accepted and rejected data,including outweighed ones,are presented in a tabular format and compared with the adjusted values(obtained using the adjustment procedure).Differences with the previous AME2003 evaluation are also discussed and specific information is presented for several cases that may be of interest to various Ame users.The second Ame2012 article,the last one in this issue,gives a table with recommended values of atomic masses,as well as tables and graphs of derived quantities,along with the list of references used in both this Ame2012 evaluation and the Nubase2012 one(the first paper in this issue).G.Audi M.Wang A.H.Wapstra F.G.Kondev M.MacCormick X.Xu B.Pfeiffer 2012Chinese Physics C2012,36,12:16
6The NUBASE2012 evaluation of nuclear properties显示文摘This paper presents the Nubase2012 evaluation that contains the recommended values for nuclear and decay properties of nuclides in their ground and excited isomeric(T1/2>100 ns) states.All nuclides for which some experimental information is known are considered.NUBASE2012 covers all up to date experimental data published in primary(journal articles) and secondary(mainly laboratory reports and conference proceedings) references,together with the corresponding bibliographical information.During the development of NUBASE2012,the data available in the 'Evaluated Nuclear Structure Data File'(Ensdf) database were consalted,and critically assessed of their validity and completeness.Furthermore,a large amount of new and somewhat older experimental results that were missing in Ensdf were compiled,evaluated and included in NUBASE2012.The atomic mass values were taken from the 'Atomic Mass Evaluation'(AME2012,second and third parts of the present issue).In cases where no experimental data were available for a particular nuclide,trends in the behavior of specific properties in neighboring nuclei(TNN) were examined.This approach allowed to estimate,whenever possible,values for a range of properties,and are labeled in NUBASE2012 as 'non-experimental'(lagged '#').Evaluation procedures and policies that were used during the development of this database are presented,together with a detailed table of recommended values and their uncertainties.G.Audi F.G.Kondev M.Wang B.Pfeiffer X.Sun J.Blachot M.MacCormick 2012Chinese Physics C2012,36,12:14
7Recent Progress in the Fabrication, Properties, and Devices of Heterostructures Based on 2D Materials显示文摘With a large number of researches being conducted on two?dimen?sional(2D) materials, their unique properties in optics, electrics, mechanics, and magnetics have attracted increasing attention. Accordingly, the idea of combining distinct functional 2D materials into heterostructures naturally emerged that pro?vides unprecedented platforms for exploring new physics that are not accessible in a single 2D material or 3D heterostructures. Along with the rapid development of controllable, scalable, and programmed synthesis techniques of high?quality 2D heterostructures, various heterostructure devices with extraordinary performance have been designed and fabricated, including tunneling transistors, photodetectors, and spintronic devices. In this review, we present a summary of the latest progresses in fabrications, properties, and applications of di erent types of 2D heterostruc?tures, followed by the discussions on present challenges and perspectives of further investigations.Yanping Liu Siyu Zhang Jun He Zhiming M.Wang Zongwen Liu 2019Nano-Micro Letters2019,11,1:13
8传输线的随机建模及瞬态响应数值实验分析显示文摘该文考虑集成电路制造过程中传输线制造工艺参数随机扰动对传输线传输性能的影响,建立了传输线的随机模型,针对该模型提出了基于蒙特卡洛法的传输线瞬态响应统计分析方法。统计分析中采用精细积分算法求解传输线样本瞬态响应,并对模型输出的正态性进行偏度-峰度检验,给出了最差情况估计。试验结果表明该文提出的传输线随机模型及统计分析方法可以对传输线的传输性能进行有效的评估,对于传输线制造过程的控制及优化有着重要意义。张瑛 Janet M.Wang 肖亮 吴慧中 2006电子与信息学报2006,28,8:7
9Holed Nanostructures Formed by Aluminum Droplets on a GaAs Substrate显示文摘We have studied the morphology evolution of holed nanostructures formed by aluminum droplet epitaxy on a GaAs surface.Unique outer rings with concentric inner holed rings were observed.Further,an empirical equation to describe the size distribution of the outer rings in the holed nanostructures has been established.The contour line generated by the equation provides physical insights into quantum ring formation by droplets of groupⅢmaterials onⅢ-Ⅴsubstrates.Alvason Zhenhua Li Zhiming M.Wang Jiang Wu Gregory J.Salamo 2010Nano Research2010,3,7:6
10Advances in MoS_2-Based Field Effect Transistors(FETs)显示文摘This paper reviews the original achievements and advances regarding the field effect transistor(FET) fabricated from one of the most studied transition metal dichalcogenides: two-dimensional Mo S2. Not like graphene, which is highlighted by a gapless Dirac cone band structure, Monolayer Mo S2 is featured with a 1.9 e V gapped direct energy band thus facilitates convenient electronic and/or optoelectronic modulation of its physical properties in FET structure. Indeed,many Mo S2 devices based on FET architecture such as phototransistors, memory devices, and sensors have been studied and extraordinary properties such as excellent mobility, ON/OFF ratio, and sensitivity of these devices have been exhibited. However, further developments in FET device applications depend a lot on if novel physics would be involved in them. In this review, an overview on advances and developments in the Mo S2-based FETs are presented. Engineering of Mo S2-based FETs will be discussed in details for understanding contact physics, formation of gate dielectric, and doping strategies. Also reported are demonstrations of device behaviors such as low-frequency noise and photoresponse in Mo S2-based FETs, which is crucial for developing electronic and optoelectronic devices.Xin Tong Eric Ashalley Feng Lin Handong Li Zhiming M.Wang 2015Nano-Micro Letters2015,7,3:6
11工艺随机扰动下非均匀RLC互连线串扰的谱域方法分析显示文摘考虑工艺随机扰动对互连线传输性能的影响,建立了互连线随机扰动模型,提出了一种基于谱域随机方法的互连线串扰分析新方法.该方法将具有随机扰动的耦合互连线模型在线元分析阶段进行解耦,分别采用随机伽辽金方法(SGM)和随机点匹配方法(SCM)进行串扰分析.最后,利用复逼近给出工艺随机扰动下互连线串扰噪声的解析表达式.实验结果表明本文方法不仅可以对工艺随机扰动下的非均匀耦合互连线串扰进行有效估计,相较于SPICE仿真还具有更高的计算效率.李鑫 Janet M.Wang 张瑛 唐卫清 吴慧中 2009电子学报2009,37,2:4
12Strong and ductile Mg alloys developed by dislocation engineering显示文摘Dislocation engineering concept has been successfully employed to tackle the strength-ductility trade-off in steels, resulting in the development of high-strength high-ductility deformed and partitioned(D&P)steel. The present perspective proposes to employ such dislocation engineering concept to develop strong and ductile magnesium(Mg) alloys. High density of < c + a > dislocations could be generated at appropriate temperature and retained in the Mg alloy after quenching to room temperature. Those < c + a > dislocations inherited from the warm deformation could provide < c + a > dislocation sources when the Mg alloy is deformed at room temperature, resulting in good ductility. The high dislocation density generated at warm deformation provides dislocation forest hardening, leading to improved yield strength of Mg alloy.M.Wang B.B.He M.X.Huang 2019Journal of Materials Science & Technology2019,35,3:4
13工艺参数扰动下互连线时延的随机点匹配评估算法显示文摘提出了一种基于工艺参数扰动的随机点匹配时延评估算法.该算法通过Cholesky分解将具有强相关性的工艺随机扰动转化为独立随机变量,并结合随机点匹配方法和多项式混沌理论对耦合随机互连线模型进行时延分析.最后,利用数值计算方法给出互连时延的有限维表达式.仿真实验结果表明,该算法与HSPICE仿真时延的相对误差不超过2%,且相比于HSPICE显著降低了电路模拟时间.李鑫 Janet M.Wang 唐卫清 2009物理学报2009,58,6:3
14Multitask deep-learning-based design of chiral plasmonic metamaterials显示文摘The field of chiral plasmonics has registered considerable progress with machine-learning(ML)-mediated metamaterial prototyping,drawing from the success of ML frameworks in other applications such as pattern and image recognition.Here,we present an end-to-end functional bidirectional deep-learning(DL)model for three-dimensional chiral metamaterial design and optimization.This ML model utilizes multitask joint learning features to recognize,generalize,and explore in detail the nontrivial relationship between the metamaterials’geometry and their chiroptical response,eliminating the need for auxiliary networks or equivalent approaches to stabilize the physically relevant output.Our model efficiently realizes both forward and inverse retrieval tasks with great precision,offering a promising tool for iterative computational design tasks in complex physical systems.Finally,we explore the behavior of a sample ML-optimized structure in a practical application,assisting the sensing of biomolecular enantiomers.Other potential applications of our metastructure include photodetectors,polarization-resolved imaging,and circular dichroism(CD)spectroscopy,with our ML framework being applicable to a wider range of physical problems.Eric Ashalley Kingsley Acheampong Lucas VBesteiro Peng Yu Arup Neogi Alexander OGovorov Zhiming M.Wang 2020Photonics Research2020,8,7:3
15基于工艺参数扰动的随机互连线时延分析(英文)显示文摘考虑工艺参数扰动对互连电路传输性能的影响,建立了基于工艺扰动的互连线随机模型.通过改进的去耦算法对随机互连线元进行去耦,结合随机伽辽金方法(SGM)和多项式混沌展开(PCE)进行互连分析,进而利用复逼近及二分法给出工艺参数扰动下互连时延的有限维表达式.仿真实验结果不仅与SPICE仿真吻合得较好,相较于SPICE蒙特卡洛仿真还具有更高的计算效率.李鑫 Janet M.Wang 唐卫清 吴慧中 2008Journal of Semiconductors2008,29,2:3
16二维微带线电容参数提取的有限元仿真显示文摘微带线中电场的仿真及其相关电参数的计算在微带线的设计与制造过程中有着极为重要的意义与价值。根据给出的微带线电容参数提取的有限元仿真流程,实现了微带线中二维电场电位分布的有限元计算,并对其进行了可视化仿真,在电场求解过程中将一阶渐进边界条件与磁壁条件相结合简化了计算。最后给出了电容参数的数值计算结果。张瑛 Janet M.Wang 肖亮 吴慧中 2005系统仿真学报2005,17,10:3
17传输线电容参数提取中的奇异性处理方法显示文摘传输线电容参数提取过程中需要计算导体上的电量,而在电量计算过程中普遍存在着角点的奇异性问题。本文给出了角点附近区域电势分布的数学模型,通过采用有限级数逼近该数学模型的解析解提出了一种新的电量计算方法,并进行了级数逼近的误差分析。本文算法克服了邓肯矫正需要选择角点积分区域的不足,有效地校正了导体角点奇异性引起的电容参数提取的计算误差,最后给出了算法的数值实验与分析结果。张瑛 Janet M.Wang 肖亮 吴慧中 2005微波学报2005,21,6:3
18Detection and widespread distribution of sodium channel alleles characteristic of insecticide resistance in Culex pipiens complex mosquitoes in China显示文摘Z.‐M.WANG C.‐X.LI D.XING Y.‐H.YU N.LIU R.‐D.XUE Y.‐D.DONG T.‐Y.ZHAO 2012Medical and Veterinary Entomology2012,,2:2
19A Review: Enhanced Anodes of Li/Na-Ion Batteries Based on Yolk–Shell Structured Nanomaterials显示文摘Lithium-ion batteries(LIBs) and sodium-ion batteries(SIBs) have received much attention in energy storage system. In particular, among the great efforts on enhancing the performance of LIBs and SIBs, yolk–shell(YS) structured materials have emerged as a promising strategy toward improving lithium and sodium storage. YS structures possess unique interior void space, large surface area and short diffusion distance, which can solve the problems of volume expansion and aggregation of anode materials, thus enhancing the performance of LIBs and SIBs. In this review, we present a brief overview of recent advances in the novel YS structures of spheres, polyhedrons and rods with controllable morphology and compositions. Enhanced electrochemical performance of LIBs and SIBs based on these novel YS structured anode materials was discussed in detail.Cuo Wu Xin Tong Yuanfei Ai De-Sheng Liu Peng Yu Jiang Wu Zhiming M.Wang 2018Nano-Micro Letters2018,10,3:2
20从认知学浅谈《教学大纲》在《微波技术基础》教学中的作用显示文摘文章在学生工程教育培养模式的基础上,提出了《教学大纲》在《微波技术基础》教学过程中的作用。从认知学的角度讨论了《教学大纲》对促进学生在学习过程中的自我认知和评价的作用;对教师在教学过程中强化学生知识点的学习过程以及学生工程实践能力培养方面的指导作用。骆无穷 唐璞 M.Wang M.Gerber 2017高教学刊2017,3,13:2
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