Active learning of deep surrogates for PDEs: application to metasurface design
Surrogate models for partial differential equations are widely used in the design of metamaterials to rapidly evaluate the behavior of composable components. However, the training cost of accurate surrogates by machine learning can rapidly increase with the number of variables. For photonic-device m...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
Springer Science and Business Media LLC
2020
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| Online Access: | https://hdl.handle.net/1721.1/128369 |