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Your search keyword '"Beauvais, Michelle L."' showing total 1 results
Start Over Author "Beauvais, Michelle L." Topic computer science - machine learning
1 results on '"Beauvais, Michelle L."'

1. Validation of non-negative matrix factorization for assessment of atomic pair-distribution function (PDF) data in a real-time streaming context

Author

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., and Billinge, Simon J. L.

Subjects
Condensed Matter - Materials Science, Computer Science - Machine Learning
Abstract

We validate the use of matrix factorization for the automatic identification of relevant components from atomic pair distribution function (PDF) data. We also present a newly developed software infrastructure for analyzing the PDF data arriving in streaming manner. We then apply two matrix factorization techniques, Principal Component Analysis (PCA) and Non-negative Matrix Factorization (NMF), to study simulated and experiment datasets in the context of in situ experiment.

Published
2020

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