Abstract
Metasurfaces with high efficiency and broadband performance hold the potential to revolutionize optical system design. However, advanced optimization methods and design techniques must be exploited to achieve performances that surpass conventional optical systems. In this paper, two metasurface design strategies are presented and their advantages and challenges discussed. The first strategy is based on topology optimization while the second is based on deep learning. Finally, we discuss how hybridizing these techniques could surpass the state-of-theart for metasurface optimization.
| Original language | English (US) |
|---|---|
| Pages (from-to) | 521-522 |
| Number of pages | 2 |
| Journal | International Conference on Metamaterials, Photonic Crystals and Plasmonics |
| State | Published - 2021 |
| Event | 11th International Conference on Metamaterials, Photonic Crystals and Plasmonics, META 2021 - Warsaw, Poland Duration: Jul 20 2021 → Jul 23 2021 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
- Materials Science (miscellaneous)
- Electronic, Optical and Magnetic Materials
- Materials Chemistry