100 citations · 135 across the 6 of their papers we have counts for
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cond-mat.mtrl-sci2021
Deep learning for visualization and novelty detection in large X-ray diffraction datasets
Lars Banko, Phillip M. Maffettone, Dennis Naujoks +2
We apply variational autoencoders (VAE) to X-ray diffraction (XRD) data analysis on both simulated and experimental thin-film data. We show that crystal structure representations l…
physics.app-ph2021★ 32 cited
Constrained non-negative matrix factorization enabling real-time insights of and high-throughput experiments
Phillip M. Maffettone, Aidan C. Daly, Daniel Olds
Non-negative Matrix Factorization (NMF) methods offer an appealing unsupervised learning method for real-time analysis of streaming spectral data in time-sensitive data collection,…