Machine learning enabled accurate prediction of structural and magnetic properties of cobalt ferrite
Abstract A machine learning enabled computational approach has been developed to accurately predict the equilibrium degree of inversion in spinel lattice and some magnetic properties of cobalt ferrite (CoFe₂O₄) crystal. The computational approach is composed of construction of a database from densit...
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| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-04-01
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| Series: | npj Computational Materials |
| Online Access: | https://doi.org/10.1038/s41524-025-01598-2 |
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