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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| Asıl Yazarlar: | , , , , |
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| Materyal Türü: | Artigo |
| Dil: | Inglês |
| Baskı/Yayın Bilgisi: |
Nature Portfolio
2025-06-01
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| Seri Bilgileri: | npj Computational Materials |
| Online Erişim: | https://doi.org/10.1038/s41524-025-01687-2 |
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