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We have investigated the segregation of Pt atoms in the surfaces of Pt-Ni nanoparticles, using modified embedded atom method potentials and the Monte Carlo method. The nanoparticles are constructed with disordered fcc configurations at two fixed overall concentrations (50 at. % Pt and 75 at. % Pt). We use octahedral and cubo-octahedral nanoparticles terminated by {111} and {100} facets to examine the extent of the Pt segregation to the nanoparticle surfaces at T=600 K. The model particles contain between 586 and 4033 atoms (particle size ranging from 2.5 to 5 nm). Our results imply that a complete {100}-facet reconstruction could make the cubo-octahendral Pt-Ni nanoparticles most energetically favorable. We predict that at 600 K due to segregation the equilibrium cubo-octahedral Pt50Ni50 nanoparticles with fewer than 1289 atoms and Pt75Ni25 nanoparticles with fewer than 4033 atoms would achieve a surface-sandwich structure, in which the Pt atoms are enriched in the outermost and third atomic shells while the Ni atoms are enriched in the second atomic shell. We also find that, due to an order-disorder transition, the Pt50Ni50 cubo-octahedral nanoparticles containing more than 2406 atoms would form a core-shell structure with a Pt-enriched surface and a Pt-deficient homogenous core. 相似文献
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为分析MRI相关定量参数对肩峰下撞击综合征(SIS)的诊断价值,本研究将56例SIS患者设为SIS组,同期56例健康体检者设为对照组,对比了两组对象的一般资料、肩关节功能评分(Constant评分)及MRI相关定量参数水平,探讨了MRI定量参数与Constant评分、SIS发病相关影响因素、治疗效果的关系及对SIS的诊断价值。结果显示SIS组Constant评分、最短肩肱间距低于对照组,肩峰指数、肩锁关节骨赘高度高于对照组,且SIS组治疗有效患者肩峰指数、肩锁关节骨赘高度低于无效患者,最短肩肱间距高于无效患者(P<0.05);SIS患者肩峰指数、肩锁关节骨赘高度与Constant评分呈负相关,而最短肩肱间距与其呈正相关(P<0.05);各MRI相关定量参数均为SIS发病的重要影响因素(P<0.05)。应用各MRI相关定量参数联合诊断SIS特异度为87.50%,敏感度为80.36%。由此可知MRI相关定量参数对SIS诊断价值较高,且与肩关节功能和治疗效果有关。 相似文献
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描述了用低能电子衍射(LEED)研究不同温度下在Si(100)-c(8×8)表面吸氢引起的一系列相变过程。实验发现:在液氮温度下,在Si(100)-c(8×8)表面连续吸氢将引起表面经Si(100)-(4×1)-H向(2×1)-H最终向(1×1)-H转变;而在从700℃到室温间的不同温度下饱和吸氢,实验中观察到:Si(100)-c(8×8)表面将先转变至Si(100)-c(4×4)-H,然后至(2×1)-最终至(1×1)-H。 相似文献
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A critical advance in the technique of low-energy electron diffraction is presented and shown to enable determining detailed structures of nanomaterials, based on experimental methods that already exist or have been proposed. Our new cluster approach speeds up the computation to scale as n logn, rather than the current n3 or n2, with n the number of atoms, for example. Applications are illustrated for C60 molecules adsorbed on a Cu(111) surface, with and without coadsorbed metal atoms, exhibiting sensitivity to important structural features such as buckyball size and deformation. 相似文献
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