Machine learning on multiple topological materials datasets
Abstract A dataset of 35,608 materials with their topological properties is constructed by combining the density functional theory (DFT) results of Materiae and the Topological Materials Database. Thanks to this, machine-learning approaches are developed to categorize materials into five distinct to...
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| Principais autores: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Nature Portfolio
2025-06-01
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| Colecção: | npj Computational Materials |
| Acesso em linha: | https://doi.org/10.1038/s41524-025-01687-2 |
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