Physics-agnostic inverse design using transfer matrices
Inverse design is an application of machine learning to device design, giving the computer maximal latitude in generating novel structures, learning from their performance, and optimizing them to suit the designer’s needs. Gradient-based optimizers, augmented by the adjoint method to efficiently com...
| Principais autores: | , , |
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| Formato: | Artigo |
| Idioma: | English |
| Publicado em: |
AIP Publishing LLC
2024-03-01
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| coleção: | APL Machine Learning |
| Acesso em linha: | http://dx.doi.org/10.1063/5.0179457 |