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Machine learning modeling for the prediction of plastic properties in metallic glasses
Metallic glasses are one of the most interesting mechanical materials studied in the last years, but as amorphous solids, they differ strongly from their crystalline counterparts. This matter can be addressed with the development and application of predictive techniques capable to describe the plast...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9825623/ https://www.ncbi.nlm.nih.gov/pubmed/36611063 http://dx.doi.org/10.1038/s41598-023-27644-x |