Extracting interface correlations from the pair distribution function of composite materials
Using a non-negative matrix factorisation (NMF) approach, we show how the pair distribution function (PDF) of complex mixtures can be deconvolved into the contributions from the individual phase components and also the interface between phases. Our focus is on the model system Fe Fe 3 O 4 . We estab...
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Published in | Nanoscale Vol. 13; no. 31; pp. 1322 - 13224 |
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Main Authors | , , , , |
Format | Journal Article |
Language | English |
Published |
England
Royal Society of Chemistry
21.08.2021
The Royal Society of Chemistry |
Subjects | |
Online Access | Get full text |
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Summary: | Using a non-negative matrix factorisation (NMF) approach, we show how the pair distribution function (PDF) of complex mixtures can be deconvolved into the contributions from the individual phase components and also the interface between phases. Our focus is on the model system Fe Fe
3
O
4
. We establish proof-of-concept using idealised PDF data generated from established theory-driven models of the Fe Fe
3
O
4
interface. Using X-ray total scattering measurements for corroded Fe samples, and employing our newly-developed NMF analysis, we extract the experimental interface PDF ('iPDF') for this same system. We find excellent agreement between theory and experiment. The implications of our results in the broader context of interface characterisation for complex functional materials are discussed.
Using a non-negative matrix factorisation (NMF) approach, we show how the pair distribution function (PDF) of complex mixtures can be deconvolved into the contributions from the individual phase components and also the interface between phases. |
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Bibliography: | 10.1039/d1nr01922h Electronic supplementary information (ESI) available: Computational modelling of Fe||Fe 3 4 PDF calculations, experimental methods, NMF details. See DOI O ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 2040-3364 2040-3372 |
DOI: | 10.1039/d1nr01922h |