Machine-learning guided search for phonon-mediated superconductivity in boron and carbon compounds
Abstract We present a workflow that iteratively combines ab-initio calculations with a machine-learning (ML) guided search for superconducting compounds with both dynamical stability and instability from imaginary phonon modes, the latter of which have been largely overlooked in previous studies. El...
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| Autors principals: | , |
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| Format: | Artigo |
| Idioma: | Inglês |
| Publicat: |
Nature Portfolio
2026-03-01
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| Col·lecció: | npj Computational Materials |
| Accés en línia: | https://doi.org/10.1038/s41524-026-01962-w |
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