InSitu Studies of the Formation of Tungsten and Niobium Oxide Nanoparticles: Towards Automated Analysis of Reaction Pathways from PDF Analysis using the Pearson Correlation Coefficient

被引:10
|
作者
Kjaer, Emil T. S. [1 ,2 ]
Aalling-Frederiksen, Olivia [1 ,2 ]
Yang, Long [3 ]
Thomas, Nancy K. [3 ]
Juelsholt, Mikkel [1 ,2 ]
Billinge, Simon J. L. [3 ,4 ]
Jensen, Kirsten M. O. [1 ,2 ]
机构
[1] Univ Copenhagen, Dept Chem, DK-2100 Copenhagen, Denmark
[2] Univ Copenhagen, Nanosci Ctr, DK-2100 Copenhagen, Denmark
[3] Columbia Univ, Dept Appl Phys & Appl Math, New York, NY 10027 USA
[4] Brookhaven Natl Lab, Condensed Matter Phys & Mat Sci Dept, Upton, NY 11973 USA
来源
CHEMISTRYMETHODS | 2022年 / 2卷 / 09期
基金
美国国家科学基金会; 欧洲研究理事会;
关键词
automated data analysis; insitu; nanoparticles; Pearson correlation; total scattering pair distribution function analysis; BENZYL ALCOHOL; CRYSTALLOGRAPHY; MECHANISMS; CHEMISTRY; DISORDER; SYSTEM; GROWTH; IONS;
D O I
10.1002/cmtd.202200034
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
Using Pair Distribution Function (PDF) analysis of insitu 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 2nm. 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.
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页数:11
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