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Self-organized nanotemplating on misfit dislocation networks investigated by scanning tunneling microscopy

机译:通过扫描隧道显微镜研究错配位错网络的自组织纳米模板

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Self-ordering growth of nanoarrays on strained metallic interfaces is an attractive option for preparing highly ordered nanotemplates. The great potential of this natural templating approach is that symmetry, feature sizes, and density are predicted to depend on the interfacial stress in these strained layers, which can be adjusted by changing the substrate-thin film composition, temperature, and adlayer coverage. This bottom-up approach of growing nanostructured twodimensional ordered arrays of clusters on the misfit dislocation networks of strained metallic thin films and surfaces requires a detailed understanding of the nucleation and film-adsorbate interaction processes. Here we show how high resolution, large scale, variable temperature scanning tunneling microscopy imaging can improve our understanding of these self-assembly processes.
机译:纳米阵列在应变金属界面上的自排序生长是制备高度有序的纳米模板的一种有吸引力的选择。这种自然模板方法的巨大潜力在于,可以预测对称性,特征尺寸和密度取决于这些应变层中的界面应力,可以通过改变基底薄膜的成分,温度和覆盖层覆盖率来调整界面应力。这种在应变金属薄膜和表面的错配位错网络上生长纳米结构二维有序簇簇的自下而上方法要求对成核和膜-吸附物相互作用过程有详细的了解。在这里,我们展示了高分辨率,大规模,可变温度扫描隧道显微镜成像如何改善我们对这些自组装过程的理解。

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