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Generation of highly realistic microstructural images of alloys from limited data with a style-based generative adversarial network
In materials science, the amount of observational data is often limited by operating protocols that require a high level of expertise, often machine-dependent, developed for a time-consuming integration of valuable data. Scanning electron microscopy (SEM) is one of those methodologies of characteris...
| 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/PMC9834308/ https://www.ncbi.nlm.nih.gov/pubmed/36631527 http://dx.doi.org/10.1038/s41598-023-27574-8 |