Data bundle for "Spherical-angular dark field imaging and sensitive microstructural phase clustering with unsupervised machine learning"
Author(s)
McAuliffe, Tom
Dye, David
Britton, T Ben
Type
Dataset
Abstract
Prepared by Tom McAuliffe (t.mcauliffe17@imperial.ac.uk)
This repository is a release of the raw data and analysis results for: 'Spherical-angular dark field imaging and sensitive microstructural phase clustering with unsupervised machine learning'
The raw data is given as 'yprime.h5' - this contains patterns and metadata in the Bruker-exported format.
Scripts for dataset decomposition into latent factors are given in 'Scripts'.
Our spherical analysis code is included in 'SphericalAngleDF'.
Outputs of our analysis code are contained in 'Analysis'.
Figures for the paper are included in 'Figures'.
This repository is a release of the raw data and analysis results for: 'Spherical-angular dark field imaging and sensitive microstructural phase clustering with unsupervised machine learning'
The raw data is given as 'yprime.h5' - this contains patterns and metadata in the Bruker-exported format.
Scripts for dataset decomposition into latent factors are given in 'Scripts'.
Our spherical analysis code is included in 'SphericalAngleDF'.
Outputs of our analysis code are contained in 'Analysis'.
Figures for the paper are included in 'Figures'.
Version
1.0
Date Issued
2020-05-21
Citation
2020
Copyright Statement
https://creativecommons.org/licenses/by/4.0/legalcode
Subjects
Machine Learning
Microscopy
PCA
NMF
Neural network
Materials
Superalloy