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Generating Input Data for Microstructure Modelling: A Deep Learning Approach Using Generative Adversarial Networks
For the generation of representative volume elements a statistical description of the relevant parameters is necessary. These parameters usually describe the geometric structure of a single grain. Commonly, parameters like area, aspect ratio, and slope of the grain axis relative to the rolling direc...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2020
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7579462/ https://www.ncbi.nlm.nih.gov/pubmed/32977556 http://dx.doi.org/10.3390/ma13194236 |