Highly accurate machine learning prediction of crystal point groups for ternary materials from chemical formula

One of the most challenging problems in condensed matter physics is to predict crystal structure just from the chemical formula of the material. In this work, we present a robust machine learning (ML) predictor for the crystal point group of ternary materials (A[Formula: see text] B[Formula: see tex...

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Detalles Bibliográficos
Autores principales: Alsaui, Abdulmohsen, Alqahtani, Saad M., Mumtaz, Faisal, Ibrahim, Alsayoud G., Mohammed, Alghadeer, Muqaibel, Ali H., Rashkeev, Sergey N., Baloch, Ahmer A. B., Alharbi, Fahhad H.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799685/
https://www.ncbi.nlm.nih.gov/pubmed/35091656
http://dx.doi.org/10.1038/s41598-022-05642-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8799685/
https://www.ncbi.nlm.nih.gov/pubmed/35091656
http://dx.doi.org/10.1038/s41598-022-05642-9

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