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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

Emil T. S. Kjær, Olivia Aalling‐Frederiksen, Long Yang, Nancy K. Thomas, Mikkel Juelsholt, Simon J. L. Billinge, Kirsten M. Ø. Jensen

2022Chemistry - Methods20 citationsDOIOpen Access PDF

Abstract

Abstract 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.

Topics & Concepts

NiobiumTungstenIn situNiobium oxidePearson product-moment correlation coefficientNanoparticleTungsten oxideMaterials scienceOxideCorrelation coefficientAnalytical Chemistry (journal)ChemistryNanotechnologyMetallurgyStatisticsMathematicsChromatographyOrganic chemistryMachine Learning in Materials ScienceCatalysis and Oxidation ReactionsX-ray Diffraction in Crystallography