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A data-driven reduced-order surrogate model for entire elastoplastic simulations applied to representative volume elements
This contribution discusses surrogate models that emulate the solution field(s) in the entire simulation domain. The surrogate uses the most characteristic modes of the solution field(s), in combination with neural networks to emulate the coefficients of each mode. This type of surrogate is well kno...
| 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/PMC10406896/ https://www.ncbi.nlm.nih.gov/pubmed/37550337 http://dx.doi.org/10.1038/s41598-023-38104-x |