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Deep learning approach for chemistry and processing history prediction from materials microstructure
Finding the chemical composition and processing history from a microstructure morphology for heterogeneous materials is desired in many applications. While the simulation methods based on physical concepts such as the phase-field method can predict the spatio-temporal evolution of the materials’ mic...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2022
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8927426/ https://www.ncbi.nlm.nih.gov/pubmed/35296736 http://dx.doi.org/10.1038/s41598-022-08484-7 |