Predicting mechanical fields near cracks using a progressive transformer diffusion model and exploration of generalization capacity
Abstract We report a deep learning method to predict high-resolution stress fields from material microstructures, using a novel class of progressive attention-based transformer diffusion models. We train the model with a small dataset of pairs of input microstructures and resulting atom...
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| Format: | Article |
| Language: | English |
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Springer International Publishing
2023
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| Online Access: | https://hdl.handle.net/1721.1/147114 |