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contrastive learning 1diffraction data processing 1dimensionality reduction 1infrared spectroscopy 1machine learning 1mixture of experts 1molecular structure prediction 1phase mapping 1superpixel clustering 1transformer models 1

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cond-mat.mtrl-sci2026

Using superpixels for interpretable feature reduction in large 2D diffraction datasets

Andreas Werbrouck, Nikhila C. Paranamana, Andrew C. Meng +2

The paper introduces a superpixel-based method to reduce and interpret large 2D diffraction datasets by adaptively grouping pixels, compares clustering approaches, and demonstrates…