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Latent-Constrained Autoencoder for 4D-STEM Clustering
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YouTubeMartin Børstad Eriksen
Latent-Constrained Autoencoder for 4D-STEM Clustering
An unsupervised, rotation-invariant autoencoder is used to cluster 4D-STEM diffraction patterns and accurately identify grain boundaries in metallographic samples.
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