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

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
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Deep glass etching technique and machine learning-based design for glass-based metasurfaces

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Deep glass etching technique and machine learning-based design for glass-based metasurfaces

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article en
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Abstract

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.

Openalex Percentile: Top 28%
Thermal Radiation and Cooling Technologies
0.95
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