Machine learning-based prediction of FeNi nanoparticle magnetization
This work proposes a computationally efficient approach for estimating the magnetization of Fe0.7Ni0.3 body-centered cubic (bcc) nanoparticles (NPs) at room temperature using machine-learning algorithms, in terms of the average magnetic moment per atom, ⟨μ⟩. The magnetization data of isolated NPs we...
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| Principais autores: | , , , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Elsevier
2024-11-01
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| Serija: | Journal of Materials Research and Technology |
| Teme: | |
| Online dostop: | http://www.sciencedirect.com/science/article/pii/S2238785424024128 |
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