维普中文期刊产品整合服务
2篇 您的检索式:作者名="T.C.Zhao"
    题名 作者 年代 出处 被引量
1Future 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
2Monolayer MoS_(2)synaptic devices synergistically modulated by Na^(+)ions and sulfur vacancies for neuromorphic computing and pain perception stimulation显示文摘Ion based synaptic devices(ISDs)are one of the excellent candidates for neuromorphic computing.However,most of ISDs utilized additional ion sources to supply ions for adjusting the conductance of the device channel,which might hinder the large-scale integration for fabricating hierarchical artificial neural network.Here a high-performance monolayer MoS_(2) ISD is demonstrated using Na^(+)ions doped in MoS_(2) lattice as ion sources.Benefited from the Na^(+)ions and S vacancy defects in the MoS_(2) lattice,the device not only exhibits various synaptic plasticity(long-and short-term plasticity)and typical biological features(pain-perceptual nociceptors and associative learning),but also has a low synaptic event response voltage(100 mV)and a low energy consumption(0.92 pJ)for a synaptic event.A dissociation-adsorptionmigration-binding model is proposed to elaborate the resistance switching mechanism,which is corroborated by density functional theory calculations and characterizations.In addition,an artificial neural network(ANN)based on MoS_(2) ISDs is simulated for the recognition of the MNIST handwritten digits.The deviation of the recognition accuracy is less than 8%compared to the ideal floating-point numeric precision.These results provide a new strategy for fabricating high-performance ISDs for neuromorphic computing.Y.B.Liu D.Cai T.C.Zhao M.Shen X.Zhou Z.H.Zhang X.W.Meng D.E.Gu 2023Journal of Materials Science & Technology2023,,32:0
返回顶部 每页显示:
共1页 首页 上一页 第1页 下一页 末页 /1 跳转

网站首页 | 关于我们 | 联系我们 | 产品服务 | 客服中心 | 广告服务 | 版权声明 | 网站联盟 | 友情链接 | 售卡网点

版权所有© 渝B2-20050021-1 渝公网安备 50019002500403号 违法和不良信息举报中心

互联网出版许可证 新出网证(渝)字10号 全国400电话 - 免长途话费