Emil T. S. Kjær, Olivia Aalling-Frederiksen, Dr. Long Yang, Nancy K. Thomas, Dr. Mikkel Juelsholt, Prof. Simon J. L. Billinge, Dr. Kirsten M. Ø. Jensen
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引用次数: 2
摘要
利用对原位总散射数据的对分布函数(PDF)分析,研究了简单溶剂热合成中钨和铌氧化物的形成。我们使用时间分辨pdf的Pearson相关系数(PCC)分析来绘制整个合成过程中发生的结构变化,并通过基于PCC的结构挖掘来识别前体和产品的结构模型。我们的分析首先表明,超小的氧化钨和氧化铌纳米粒子在加热时瞬间形成,尺寸在1.5到2纳米之间。我们发现纳米颗粒中的主要结构基序可以用含有五边形柱的结构来描述,这是许多大块钨和铌氧化物的特征。我们进一步阐明了前体配合物的结构为带有O-和cl -配体的八面体簇。基于PCC的方法自动化了结构表征,并证明了对大型数据集的分析有用,例如,时间分辨x射线散射研究。PCC在“PDF in The cloud”中实现,这是一个PDF分析的网络平台。
In Situ Studies of the Formation of Tungsten and Niobium Oxide Nanoparticles: Towards Automated Analysis of Reaction Pathways from PDF Analysis using the Pearson Correlation Coefficient
Using Pair Distribution Function (PDF) analysis of in situ total scattering data, we investigate the formation of tungsten and niobium oxides in a simple solvothermal synthesis. We use Pearson Correlation Coefficient (PCC) analysis of the time resolved PDFs to both map the structural changes taking place throughout the synthesis and identify structural models for precursor and product through PCC-based structure mining. Our analysis first shows that ultra-small tungsten and niobium oxide nanoparticles form instantaneously upon heating, with sizes between 1.5 and 2 nm. We show that the main structural motifs in the nanoparticles can be described with structures containing pentagonal columns, which is characteristic for many bulk tungsten and niobium oxides. We furthermore elucidate the structure of the precursor complex as clusters of octahedra with O- and Cl-ligands. The PCC based methodology automates the structure characterization and proves useful for analysis of large datasets of for example, time resolved X-ray scattering studies. The PCC is implemented in ‘PDF in the cloud’, a web platform for PDF analysis.