An artificial neural network for surrogate modeling of stress fields in viscoplastic polycrystalline materials
Abstract The purpose of this work is the development of a trained artificial neural network for surrogate modeling of the mechanical response of elasto-viscoplastic grain microstructures. To this end, a U-Net-based convolutional neural network (CNN) is trained using results for the von Mises stress...
| Main Authors: | , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-03-01
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| Series: | npj Computational Materials |
| Online Access: | https://doi.org/10.1038/s41524-023-00991-z |