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FEM-GAN: A Physics-Supervised Deep Learning Generative Model for Elastic Porous Materials
X-ray [Formula: see text] CT imaging is a common technique that is used to gain access to the full-field characterization of materials. Nevertheless, the process can be expensive and time-consuming, thus limiting image availability. A number of existing generative models can assist in mitigating th...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2023
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10342502/ https://www.ncbi.nlm.nih.gov/pubmed/37445054 http://dx.doi.org/10.3390/ma16134740 |