Large-Scale Atom Probe Tomography Data Mining: Methods and Application to Inform Hydrogen Behavior
Large-Scale Atom Probe Tomography Data Mining: Methods and Application to Inform Hydrogen Behavior
复制标题
大规模原子探针断层扫描数据挖掘：了解氢行为的方法和应用
DOI：
10.1093/micmic/ozad027
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发表时间：
2023
影响因子：
2.8
通讯作者：
Meier M
中科院分区：
文献类型：
--
作者：
Meier M
将过去实验中的大量原子探针断层扫描（APT）数据集收集到数据库中进行统计分析。展示了处理数据的有效方法，并对氢进行了研究以说明该方法的有用性。我们建议将大量 APT 光谱作为点云进行处理，并使用基于城市街区距离的度量来测量光谱之间的差异。这使得能够通过相似性快速、自动地搜索光谱。由于类似材料上的 APT 实验的光谱相似，因此光谱的点云包含簇。分析该点云中的这些光谱簇使我们能够推断出样本材料。分析污染物氢的行为并将其与电压、电场和样品基材相关联。在几种材料中，发现/H+比率随着场的增加而减小，这可能表明离子的位置化。发现 APT 实验中 和 H+ 的绝对量经常增加。
A large number of atom probe tomography (APT) datasets from past experiments were collected into a database to conduct statistical analyses. An effective way of handling the data is shown, and a study on hydrogen is conducted to illustrate the usefulness of this approach. We propose to handle a large collection of APT spectra as a point cloud and use a city block distance–based metric to measure dissimilarity between spectra. This enables quick and automated searching for spectra by similarity. Since spectra from APT experiments on similar materials are similar, the point cloud of spectra contains clusters. Analysis of these clusters of spectra in this point cloud allows us to infer the sample materials. The behavior of contaminant hydrogen is analyzed and correlated with voltage, electric field, and sample base material. Across several materials, the/H+ratio is found to decrease with increasing field, likely an indication of postionization ofions. The absolute amounts ofandH+are found to frequently increase throughout APT experiments.