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Found 2 papers, 1 papers with code
Metrics for quantifying isotropy in high dimensional unsupervised clustering tasks in a materials context
Using fractional anisotropy, a common method used in medical imaging for comparison, we then expand these measures to examine the average isotropy of a set of clusters.
Element selection for functional materials discovery by integrated machine learning of elemental contributions to properties
Before specific differences emerge according to the precise ratios of elements in a given crystal structure, a material can be represented by the set of its constituent chemical elements.
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