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Density-of-states similarity descriptor for unsupervised learning from materials data
We develop a materials descriptor based on the electronic density-of-states (DOS) and investigate the similarity of materials based on it. As an application example, we study the Computational 2D Materials Database (C2DB) that hosts thousands of two-dimensional materials with their properties calcul...
| Autores principales: | , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9587991/ https://www.ncbi.nlm.nih.gov/pubmed/36273207 http://dx.doi.org/10.1038/s41597-022-01754-z |