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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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Bibliografske podrobnosti
Principais autores: Timo Sommer, Roland Willa, Jörg Schmalian, Pascal Friederich
Format: Artigo
Jezik:Inglês
Izdano: Nature Portfolio 2023-11-01
Serija:Scientific Data
Online dostop:https://doi.org/10.1038/s41597-023-02721-y
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