What can data science tell us about finding new superconductors?
editorial · Level V
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- Record sourced from PubMed, PMID 36419449.
- Also identified by DOI 10.1016/j.patter.2022.100630 and PMC identifier 9676522.
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Abstract
Can data science guide researchers toward understanding superconductivity or discover new superconductors? We examine this question in light of a study in this issue of <i>Patterns</i> by Liu et al., who find that the superconducting transition temperature and certain computed energy intervals of the valence band are correlated.