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Ensemble learning reveals dissimilarity between rare-earth transition metal binary alloys with respect to the Curie temperature
We propose a data-driven method to extract dissimilarity between materials, with respect to a given target physical property.
Measuring the Similarity between Materials with an Emphasis on the Materials Distinctiveness
In this study, we establish a basis for selecting similarity measures when applying machine learning techniques to solve materials science problems.
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