Long-wave infrared computational multispectral metasurface and spectral reconstruction method
Abstract We demonstrate a computational multispectral metasurface employing a 3 $$\times$$ 3 photonic crystal array architecture that operates across the longwave infrared spectrum (8–11.5 $$\upmu$$ m). The designed structure achieves remarkable optical performance with peak transmittance reaching 7...
Saved in:
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-07-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-025-06599-1 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| Summary: | Abstract We demonstrate a computational multispectral metasurface employing a 3 $$\times$$ 3 photonic crystal array architecture that operates across the longwave infrared spectrum (8–11.5 $$\upmu$$ m). The designed structure achieves remarkable optical performance with peak transmittance reaching 75.8% and broadband energy utilization efficiency of 41.37%. Notably, the inter-channel transmittance correlation coefficient of 0.17 indicates superior spectral discrimination compared to conventional grating-based systems. We also considered the angular dependence of the array on the incident light. Additionally, to evaluate the spectral reconstruction performance of the transmission spectra under different photonic crystals, a spectral reconstruction deep learning network was constructed with the mean squared error is 2.86 $$\times 10^{-3}$$ . This architecture establishes a hardware-algorithm co-design framework for next-generation infrared multispectral systems, demonstrating the potential for integrated superlattice detectors with sub-100 $$\upmu$$ m $$^{2}$$ pixel pitch, which represents a critical advancement for portable spectroscopic applications. |
|---|---|
| ISSN: | 2045-2322 |