Deep learning-based single-shot computational spectrometer using multilayer thin films

Deep learning-based single-shot computational spectrometer using multilayer thin films

Abstract Computational spectrometers hold significant potential for mobile applications, such as on-site detection and self-diagnosis, due to their compact size, fast operation time, high resolution, wide working range, and low-cost production. Although extensively studied, prior demonstrations have...

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Bibliographic Details
Main Authors: David S. Bhatti, Jioh Lee, Cheolsun Kim, Youngin Choi, Hoon Hahn Yoon, Heung-No Lee
Format: Article
Language:English
Published: Nature Portfolio 2025-07-01
Series:Scientific Reports
Subjects:
Computational spectroscopy
Deep learning
Multilayer thin films
U-Net
Root mean squared error
Online Access:https://doi.org/10.1038/s41598-025-06691-6
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https://doi.org/10.1038/s41598-025-06691-6

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