Empowering Metasurfaces with Inverse Design: Principles and Applications
Harvard University · Massachusetts Institute of Technology
Abstract
Conventional human-driven methods face limitations in designing complex functional metasurfaces. Inverse design is poised to empower metasurface research by embracing fast-growing artificial intelligence. In recent years, many research efforts have been devoted to enriching inverse design principles and applications. In this perspective, we review most commonly used metasurface inverse design strategies including topology optimization, evolutionary optimization, and machine learning techniques. We elaborate on their concepts and working principles, as well as examples of their implementations. We also discuss two emerging research trends: scaling up inverse design for large-area aperiodic metasurfaces and…
Citation impact
- FWCI
- 11.75
- Percentile
- 100%
- References
- 150
Authors
5Topics & keywords
- Inverse
- Computer science
- Aperiodic graph
- Photonics
- Inverse problem
- Topology optimization
- Engineering
- Physics