3DSC - a dataset of superconductors including crystal structures

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 by a lac...

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Detalles Bibliográficos
Autores principales: Sommer, Timo, Willa, Roland, Schmalian, Jörg, Friederich, Pascal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2023
Materias:
Data Descriptor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663493/
https://www.ncbi.nlm.nih.gov/pubmed/37990027
http://dx.doi.org/10.1038/s41597-023-02721-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10663493/
https://www.ncbi.nlm.nih.gov/pubmed/37990027
http://dx.doi.org/10.1038/s41597-023-02721-y

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