Comparison of neural closure models for discretised PDEs
Neural closure models have recently been proposed as a method for efficiently approximating small scales in multiscale systems with neural networks. The choice of loss function and associated training procedure has a large effect on the accuracy and stability of the resulting neural closure model. I...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier Ltd
2023
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| Subjects: | |
| Online Access: | View Fulltext in Publisher View in Scopus |