Validation of non‐negative matrix factorization for rapid assessment of large sets of atomic pair distribution function data

The use of the non‐negative matrix factorization (NMF) technique is validated for automatically extracting physically relevant components from atomic pair distribution function (PDF) data from time‐series data such as in situ experiments. The use of two matrix‐factorization techniques, principal com...

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Bibliographic Details
Published in:	Journal of applied crystallography Vol. 54; no. 3; pp. 768 - 775
Main Authors:	Liu, Chia-Hao, Wright, Christopher J., Gu, Ran, Bandi, Sasaank, Wustrow, Allison, Todd, Paul K., O'Nolan, Daniel, Beauvais, Michelle L., Neilson, James R., Chupas, Peter J., Chapman, Karena W., Billinge, Simon J. L.
Format:	Journal Article
Language:	English
Published:	5 Abbey Square, Chester, Cheshire CH1 2HU, England International Union of Crystallography 01.06.2021 Blackwell Publishing Ltd
Subjects:	Assessments atomic pair distribution functions Chemical synthesis Context Distribution functions Factorization in situ measurement MATERIALS SCIENCE Mathematical analysis Matrix methods non-negative matrix factorization Particle beams Principal components analysis Streaming streaming-data analysis Synchrotron radiation Synchrotrons
ISSN:	1600-5767, 0021-8898, 1600-5767
Online Access:	Get full text
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