MTRL-SCIOct 22, 2020Code
Validation of non-negative matrix factorization for assessment of atomic pair-distribution function (PDF) data in a real-time streaming contextChia-Hao Liu, Christopher J. Wright, Ran Gu et al.
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.