3DSC - a dataset of superconductors including crystal structures

Abstract Data-driven methods, in particular machine learning, can help to speed up the discovery of new materials by finding hidden patterns in existing data and using them to identify promising candidate materials. In the case of superconductors, the use of data science tools is to date slowed down...

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Bibliographic Details
Published in:Scientific Data
Main Authors: Timo Sommer, Roland Willa, Jörg Schmalian, Pascal Friederich
Format: Article
Language:English
Published: Nature Portfolio 2023-11-01
Online Access:https://doi.org/10.1038/s41597-023-02721-y