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Material Data Identification in an Induction Hardening Test Rig with Physics-Informed Neural Networks
Physics-Informed neural networks (PINNs) have demonstrated remarkable performance in solving partial differential equations (PDEs) by incorporating the governing PDEs into the network’s loss function during optimization. PINNs have been successfully applied to diverse inverse and forward problems. T...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
MDPI
2023
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10384654/ https://www.ncbi.nlm.nih.gov/pubmed/37512288 http://dx.doi.org/10.3390/ma16145013 |