$Unsupervised Phase Mapping of X-ray Diffraction Data by Nonnegative Matrix Factorization Integrated with Custom Clustering$

Unsupervised Phase Mapping of X-ray Diffraction Data by Nonnegative Matrix Factorization Integrated with Custom Clustering

20 February 2018

Graham Antoszewski

Boian S. Alexandrov

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Papers citing "Unsupervised Phase Mapping of X-ray Diffraction Data by Nonnegative Matrix Factorization Integrated with Custom Clustering"

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Title
Real-time experiment-theory closed-loop interaction for autonomous materials science Haotong Liang Chuangye Wang Heshan Yu Dylan Kirsch Rohit K. Pant A. McDannald A. Kusne Ji-Cheng Zhao Ichiro Takeuchi 47 0 0 22 Oct 2024
AlabOS: A Python-based Reconfigurable Workflow Management Framework for Autonomous Laboratories Yuxing Fei Bernardus Rendy Rishi Kumar O. Dartsi Hrushikesh Sahasrabuddhe ... Lauren N. Walters David Milsted Yan Zeng Anubhav Jain Gerbrand Ceder 23 5 0 22 May 2024
Learning material synthesis-process-structure-property relationship by data fusion: Bayesian Coregionalization N-Dimensional Piecewise Function Learning A. Kusne A. McDannald Brian L. DeCost 55 2 0 10 Nov 2023
Computer Vision on X-ray Data in Industrial Production and Security Applications: A Comprehensive Survey M. Rafiei Jenni Raitoharju Alexandros Iosifidis 75 23 0 10 Nov 2022
MaterialsAtlas.org: A Materials Informatics Web App Platform for Materials Discovery and Survey of State-of-the-Art Jianjun Hu Stanislav Stefanov Yuqi Song Sadman Sadeed Omee Steph-Yves M. Louis Edirisuriya M Dilanga Siriwardane Yong Zhao 88 33 0 09 Sep 2021
Automating Crystal-Structure Phase Mapping: Combining Deep Learning with Constraint Reasoning Di Chen Yiwei Bai Sebastian Ament Wenting Zhao D. Guevarra Lan Zhou B. Selman R. B. Dover J. Gregoire Carla P. Gomes 34 52 0 21 Aug 2021
$Constrained non-negative matrix factorization enabling real-time insights of $\textit{in situ}$ and high-throughput experiments$ Constrained non-negative matrix factorization enabling real-time insights of $\textit{in situ}$ and high-throughput experiments Phillip M. Maffettone Aidan C. Daly D. Olds 19 19 0 02 Apr 2021
Identification of Anomalous Diffusion Sources by Unsupervised Learning Raviteja Vangara Kim Ø. Rasmussen D. Petsev G. Bel Boian S. Alexandrov 57 7 0 05 Oct 2020
Coarse-Grain Cluster Analysis of Tensors with Application to Climate Biome Identification Derek DeSantis P. Wolfram K. Bennett Boian Alexandrov 19 1 0 22 Jan 2020
$Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks$ Fast and interpretable classification of small X-ray diffraction datasets using data augmentation and deep neural networks Felipe Oviedo Zekun Ren Shijing Sun C. Settens Zhe Liu ... Brian L. DeCost S. Tian Giuseppe Romano A. Kusne Tonio Buonassisi OOD 46 6 0 20 Nov 2018