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Hierarchical Model for the Analysis of Scattering Data of Complex Materials

机译:复杂材料散射数据分析的层次模型

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Interpreting the results of scattering data for complex materials with a hierarchical structure in which at least one phase is amorphous presents a significant challenge. Often the interpretation relies on the use of large-scale molecular dynamics (MD) simulations, in which a structure is hypothesized and from which a radial distribution function (RDF) can be extracted and directly compared against an experimental RDF. This computationally intensive approach presents a bottleneck in the efficient characterization of the atomic structure of new materials. Here, we propose and demonstrate an approach for a hierarchical decomposition of the RDF in which MD simulations are replaced by a combination of tractable models and theory at the atomic scale and the mesoscale, which when combined yield the RDF. We apply the procedure to a carbon composite, in which graphitic nanocrystallites are distributed in an amorphous domain. We compare the model with the RDF from both MD simulation and neutron scattering data. This procedure is applicable for understanding the fundamental processing-structure-property relationships in complex magnetic materials.
机译:解释具有至少一相为非晶相的分级结构的复杂材料的散射数据结果提出了重大挑战。通常,解释依赖于大规模分子动力学(MD)模拟的使用,在该模拟中假设了结构,并可以从中提取径向分布函数(RDF)并直接与实验RDF进行比较。这种计算量大的方法在有效表征新材料的原子结构方面存在瓶颈。在这里,我们提出并演示了一种RDF的层次分解方法,其中MD模拟被原子尺度和介观尺度的易处理模型和理论的组合所替代,当组合时会产生RDF。我们将该程序应用于碳复合材料,其中石墨纳米微晶分布在无定形域中。我们从MD模拟和中子散射数据中将模型与RDF进行了比较。此过程适用于了解复杂磁性材料中的基本加工-结构-性能关系。

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