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Many atomic descriptors are currently limited by their unfavourable scaling with the number of chemical elements $S$ e.g.
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Machine learning a general-purpose interatomic potential for silicon
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Nomad: The fair concept for big data-driven materials science
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Feature optimization for atomistic machine learning yields a data-driven construction of the periodic table of the elements
Willatt, M. J., Musil, F. & Ceriotti, M · 2018
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