journal article·2024-11-12

Rapid Modeling of the Local Structure of Metal Oxide Nanoparticles from PDF Data: A Case Study Using TiO2 Nanoparticles

Songsheng Tao, Jonas Billet, Jonathan De Roo, Simon J. L. Billinge

Chemistry of Materials· Volume 36· Issue 21
Publisher page

Abstract

A detailed workflow is presented for applying attenuated crystal modeling (ACM) of atomic pair distribution functions from TiO 2 nanoparticles to understand the structure and morphology of the nanoparticles. We use small-box modeling approaches with the diffpy -CMI software program. The modeling reveals that all synthesis conditions yield nanoparticles with a majority bronze phase and a minority anatase phase, with the synthesis temperature affecting the proportion of impurity phase and the size of the nanoparticles. The fast, straightforward, and reliable workflow is widely applicable for modeling PDFs of most inorganic nanoparticles as long as hypothesized ACM models are available, providing a helpful guide for researchers to analyze the structure of nanoparticles from PDF data.
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Research context

OpenAlex topics: X-ray Diffraction in Crystallography · Machine Learning in Materials Science · Catalysis and Oxidation Reactions

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Applied Physics and Applied Mathematics, Columbia University, New York, New York 10027, United States

Department of Chemistry, Ghent University, Ghent 9000, Belgium

Department of Chemistry, University of Basel, Basel 4058, Switzerland

Funding

U.S. Department of Energy · Universiteit Gent · U. S. Department of Energy

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