Simplest but Efficient Design of a Color Router Optimized by Genetic Algorithms
Source abstract
Abstract
High Resolution Image Download MS PowerPoint Slide We demonstrated a simple and efficient metasurface color router for CIS with an RGGB Bayer layout requiring only a single nanopillar for each pixel. Each nanopillar directionally scatters light, redirecting unwanted light into neighboring pixels and achieving over 100% efficiency. Using genetic algorithms, we optimized the nanopillar dimensions to maximize router efficiency. For measurement, we initially designed a metasurface color router for light incident from the substrate, allowing us to assess its optical properties in the air. Compared to the ideal efficiency without a color router, our structure presented enhanced efficiencies of 152%, 180%, and 120% at 633, 532, and 480 nm, respectively. Finally, we proposed a practical design for practical application conditions where the incident light propagates from air to the color router.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Color Science and Applications · Color perception and design
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Optics and Photonics
National Central University
National Applied Research Laboratories
Taiwan Instrument Research Institute
Optical Science Center
Funding
National Science and Technology Council
References (35)
Show source-provided references
1. 10.3390/s2313588410.3390/s23135884 ↗
2. 10.1515/nanoph-2023-001710.1515/nanoph-2023-0017 ↗
3. 10.1021/ed039p33310.1021/ed039p333 ↗
4. 10.1016/j.dyepig.2019.04.07410.1016/j.dyepig.2019.04.074 ↗
5. 10.1016/j.jqsrt.2017.03.04610.1016/j.jqsrt.2017.03.046 ↗
6. Yun, S.; Roh, S.; Lee, S.; Park, H.; Lim, M.; Ahn, S.; Choo, H. Highly efficient color separation and focusing in the sub-micron CMOS image sensor. In 2021 IEEE International Electron Devices Meeting (IEDM), 11–16 Dec. 2021, 2021, pp 303131–303134.10.1109/IEDM19574.2021.9720592.10.1109/IEDM19574.2021.9720592 ↗
7. 10.1039/D1NR02166D10.1039/D1NR02166D ↗
8. 10.1021/acsphotonics.9b0004210.1021/acsphotonics.9b00042 ↗
9. 10.1002/adpr.20200004810.1002/adpr.202000048 ↗
10. 10.1515/nanoph-2023-074610.1515/nanoph-2023-0746 ↗
11. 10.3390/photonics1005053610.3390/photonics10050536 ↗
12. 10.1103/PhysRevB.80.12512910.1103/PhysRevB.80.125129 ↗
13. 10.3390/nano1212197310.3390/nano12121973 ↗
14. 10.1002/adom.20180041510.1002/adom.201800415 ↗
15. 10.1038/ncomms675310.1038/ncomms6753 ↗
16. 10.1088/0034-4885/79/7/07640110.1088/0034-4885/79/7/076401 ↗
17. 10.1515/nanoph-2022-006910.1515/nanoph-2022-0069 ↗
18. 10.1063/5.017658710.1063/5.0176587 ↗
19. 10.1364/OPTICA.38422810.1364/OPTICA.384228 ↗
20. 10.1038/s41467-022-31019-710.1038/s41467-022-31019-7 ↗
21. 10.1364/OPTICA.44425510.1364/OPTICA.444255 ↗
22. 10.1016/j.optlaseng.2022.10747210.1016/j.optlaseng.2022.107472 ↗
23. 10.1002/lpor.20230002710.1002/lpor.202300027 ↗
24. 10.1364/OE.25.03338910.1364/OE.25.033389 ↗
25. 10.1002/adom.20230220010.1002/adom.202302200 ↗
26. 10.1126/sciadv.adn900010.1126/sciadv.adn9000 ↗
27. 10.1021/acs.nanolett.7b0313510.1021/acs.nanolett.7b03135 ↗
28. 10.1016/j.optmat.2024.11527410.1016/j.optmat.2024.115274 ↗
29. 10.1364/OE.23.00229310.1364/OE.23.002293 ↗
30. 10.1021/acsphotonics.7b0121710.1021/acsphotonics.7b01217 ↗
31. 10.3390/nano1303049610.3390/nano13030496 ↗
32. 10.1038/ncomms253810.1038/ncomms2538 ↗
33. 10.7551/mitpress/1090.001.000110.7551/mitpress/1090.001.0001 ↗
34. 10.1116/1.498368310.1116/1.4983683 ↗
35. 10.7551/mitpress/2946.001.000110.7551/mitpress/2946.001.0001 ↗