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Superconductivity of a cuprate with compressed local octahedron 被引量:1
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作者 WenMin Li lipeng cao +5 位作者 JianFa Zhao XianCheng Wang RunZe Yu YouWen Long QingQing Liu ChangQing Jin 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS CSCD 2019年第3期111-113,共3页
Since the historical discovery of high Tc superconductivity(HTS)of La2CuO4 in 1986[1],the superconductivity me chanism of copper oxides remains one of the biggest mysteries in the field of condensed matter physics[2-1... Since the historical discovery of high Tc superconductivity(HTS)of La2CuO4 in 1986[1],the superconductivity me chanism of copper oxides remains one of the biggest mysteries in the field of condensed matter physics[2-10].High-Tc cuprates crystallize into layered perovskite structure,as well as copper oxygen octahedron coordination.In octahedron symmetry,the 3d orbitals of Cu^2+with a 3d^9 configuration degenerate into two top eg and three lower t2g orbitals. 展开更多
关键词 SUPERCONDUCTIVITY CUPRATE compressed LOCAL OCTAHEDRON
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High-pressure synthesis,crystal structure and physical properties of a new Cr-based arsenide La3CrAs5
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作者 Lei Duan Xiancheng Wang +11 位作者 Fangyang Zhan Jun Zhang Zhiwei Hu Jianfa Zhao Wenmin Li lipeng cao Zheng Deng Runze Yu Hong-Ji.Lin Chien-Te.Chen Rui Wang Changqing Jin 《Science China Materials》 SCIE EI CSCD 2020年第9期1750-1758,共9页
In La-Cr-As system,the first ternary compound La3CrAs5 has been successfully synthesized under highpressure and high-temperature conditions.La3CrAs5 crystallizes into a hexagonal Hf5Sn3Cu-anti type structure with a sp... In La-Cr-As system,the first ternary compound La3CrAs5 has been successfully synthesized under highpressure and high-temperature conditions.La3CrAs5 crystallizes into a hexagonal Hf5Sn3Cu-anti type structure with a space group of P63/mcm(No.193)and lattice parameters of a=b=8.9845A and c=5.8897A.The structure contains facesharing octahedral CrAs6 chains along the c-axis,which are arranged triangularly in the ab-plane and separated by a significantly large distance of 8.9845A.The magnetic properties,resistivity and specific heat measurements were performed.La3CrAs5 exhibits a metallic state with Fermi liquid behavior at low temperatures and undergoes a ferromagnetic transition at Curie temperature TC^50 K.First-principles theoretical studies were conducted to calculate its band structure and density of states(DOS),which indicated that the non-negligible contribution of La to the DOS near the Fermi level caused La3CrAs5 to be a three-dimensional(3D)metal.The crystal orbital Hamilton population(-COHP)was also calculated to explain the global stability and bonding characteristics in the structure of La3CrAs5. 展开更多
关键词 Cr-based arsenide ferromagnetic metal high pressure synthesis spin chain
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Orbital selection of the double [CuO2] layer compound Ca3Cu2O4Cl2
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作者 JianFa Zhao lipeng cao +15 位作者 WenMin Li Jun Zhang GuangYang Dai Shuang Yu QingQing Liu XianCheng Wang GuoQiang Zhao YaTing Jia Lei Duan YouWen Long Hong-Ji Lin Chien-Te Chen Liu-Hao Tjeng ZhiWei Hu RunZe Yu ChangQing Jin 《Science China(Physics,Mechanics & Astronomy)》 SCIE EI CAS CSCD 2019年第10期123-126,共4页
The discovery of high-temperature copper oxide superconductors(HTS)by Bednorz and Muller[1]in 1986 opened up a new field of superconductivity.Since then,several different families of materials have been discovered wit... The discovery of high-temperature copper oxide superconductors(HTS)by Bednorz and Muller[1]in 1986 opened up a new field of superconductivity.Since then,several different families of materials have been discovered with greatly increased superconducting critical temperature(Tc)[2].Oxychloride cuprates,Can+1CunO2wCl2,are one such type of parent compound of high Tc cuprate superconductors.There are two members in this family known so far that can exist at ambient pressure:Ca2CuO2Cl2(single[Cu02]layer CCOC)and Ca3Cu2O4Cl2(double[CuO2]layer CCOC).Both are composed of a[CuO2]plane with the apical oxygen replaced by chlorine atoms. 展开更多
关键词 compound LAYER DOUBLE
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Vehicle sideslip trajectory prediction based on time-series analysis and multi-physical model fusion
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作者 lipeng cao Yugong Luo +2 位作者 Yongsheng Wang Jian Chen Yansong He 《Journal of Intelligent and Connected Vehicles》 EI 2023年第3期161-172,共12页
On highways,vehicles that swerve out of their lane due to sideslip can pose a serious threat to the safety of autonomous vehicles.To ensure their safety,predicting the sideslip trajectories of such vehicles is crucial... On highways,vehicles that swerve out of their lane due to sideslip can pose a serious threat to the safety of autonomous vehicles.To ensure their safety,predicting the sideslip trajectories of such vehicles is crucial.However,the scarcity of data on vehicle sideslip scenarios makes it challenging to apply data-driven methods for prediction.Hence,this study uses a physical model-based approach to predict vehicle sideslip trajectories.Nevertheless,the traditional physical model-based method relies on constant input assumption,making its long-term prediction accuracy poor.To address this challenge,this study presents the time-series analysis and interacting multiple model-based(IMM)sideslip trajectory prediction(TSIMMSTP)method,which encompasses time-series analysis and multi-physical model fusion,for the prediction of vehicle sideslip trajectories.Firstly,we use the proposed adaptive quadratic exponential smoothing method with damping(AQESD)in the time-series analysis module to predict the input state sequence required by kinematic models.Then,we employ an IMM approach to fuse the prediction results of various physical models.The implementation of these two methods allows us to significantly enhance the long-term predictive accuracy and reduce the uncertainty of sideslip trajectories.The proposed method is evaluated through numerical simulations in vehicle sideslip scenarios,and the results clearly demonstrate that it improves the long-term prediction accuracy and reduces the uncertainty compared to other model-based methods. 展开更多
关键词 autonomous vehicle sideslip trajectory prediction adaptive quadratic exponential smoothing with damping(AQESD) interacting multiple model(IMM)
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