Predictive and generative machine learning models for photonic crystals
© 2020 Thomas Christensen et al., published by De Gruyter, Berlin/Boston 2020. The prediction and design of photonic features have traditionally been guided by theory-driven computational methods, spanning a wide range of direct solvers and optimization techniques. Motivated by enormous advances in...
| Main Authors: | , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Walter de Gruyter GmbH
2021
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| Online Access: | https://hdl.handle.net/1721.1/132457 |