nmfMapping: a cloud-based web application for non-negative matrix factorization of powder diffraction and pair distribution function datasets
Materials Science
2021-12-28 v1
Abstract
A cloud-hosted web-based software application, nmfMapping, for carrying out a nonnegative matrix factorization of a set of powder diffraction or atomic pair distribution function datasets is described. This app allows structure scientists to rapidly find trends in sets of related data such as from in situ and operando diffraction experiments. The application is easy to use and does not require any programming expertise. It is available at the pdfitc.org website.
Cite
@article{arxiv.2112.13300,
title = {nmfMapping: a cloud-based web application for non-negative matrix factorization of powder diffraction and pair distribution function datasets},
author = {Zachary Thatcher and Chia-Hao Liu and Long Yang and Brennan C. McBride and Gia Thinh Tran and Allison Wustrow and Martin A. Karlsen and James R. Neilson and Dorthe B. Ravnsbæk and Simon J. L. Billinge},
journal= {arXiv preprint arXiv:2112.13300},
year = {2021}
}
Comments
19 Pages, 7 Figures, submitted to Acta Crystallographica Section A