Deep glass etching technique and machine learning-based design for glass-based metasurfaces
Glasses are expected to see increasing applications in metasurface with their superior optical properties. On the other hand, designing and fabricating high-performance glass optical devices requires not only knowledge of glass materials but also complex optical design and advanced fabrication technologies. To address this issue, we have successfully developed a rapid and high aspect ratio etching technique for glass using catalysts. Additionally, we have established a device design technology that balances manufacturability and optical performance through machine learning. This presentation will introduce demonstrations of each technology with prototyping metasurfaces.
Authors
- Ko-hei Sano (ORCID: https://orcid.org/0009-0009-9413-8847)
- Yasuo Hayashi (ORCID: https://orcid.org/0000-0001-5927-8021)
- Akira Ueno (ORCID: https://orcid.org/0000-0003-0171-5836)
- Yoshitaka Ono
- Juejun Hu
Publication Details
- Published
- 2025-03-19
- DOI
- https://doi.org/10.1117/12.3044115
- Citations
- 1
- Primary Topic
- Thermal Radiation and Cooling Technologies
- Type
- article
- Field-Weighted Citation Impact
- 0.95