Cargando…
A generalised deep learning-based surrogate model for homogenisation utilising material property encoding and physics-based bounds
The use of surrogate models based on Convolutional Neural Networks (CNN) is increasing significantly in microstructure analysis and property predictions. One of the shortcomings of the existing models is their limitation in feeding the material information. In this context, a simple method is develo...
| Autores principales: | , , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Nature Publishing Group UK
2023
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10241949/ https://www.ncbi.nlm.nih.gov/pubmed/37277405 http://dx.doi.org/10.1038/s41598-023-34823-3 |