Journal
LIGHT-SCIENCE & APPLICATIONS
Volume 10, Issue 1, Pages -Publisher
SPRINGERNATURE
DOI: 10.1038/s41377-021-00600-y
Keywords
-
Categories
Funding
- China National Key Basic Research Program [2016YFA0301103, 2016YFA0302000, 2018YFA0306201]
- National Science Foundation of China [11774063, 11727811, 91750102, 91963212]
- Shanghai Rising-Star Program [20QB1402200]
- Science and Technology Commission of Shanghai Municipality [19XD1434600, 2019SHZDZX01, 19DZ2253000]
Ask authors/readers for more resources
In this work, a solving strategy involving robust neural network algorithms and informative photonic dispersions is proposed to overcome challenges in reconstructing grating profiles in inverse scattering problems. Two typical neural networks are used to successfully reconstruct grating profiles with nanometric sensitivity and several seconds of time consumption, while a Fourier-optics-based angle-resolved imaging spectroscopy is developed for experimental measurement of the dispersions.
Inferring the properties of a scattering objective by analyzing the optical far-field responses within the framework of inverse problems is of great practical significance. However, it still faces major challenges when the parameter range is growing and involves inevitable experimental noises. Here, we propose a solving strategy containing robust neural-networks-based algorithms and informative photonic dispersions to overcome such challenges for a sort of inverse scattering problem-reconstructing grating profiles. Using two typical neural networks, forward-mapping type and inverse-mapping type, we reconstruct grating profiles whose geometric features span hundreds of nanometers with nanometric sensitivity and several seconds of time consumption. A forward-mapping neural network with a parameters-to-point architecture especially stands out in generating analytical photonic dispersions accurately, featured by sharp Fano-shaped spectra. Meanwhile, to implement the strategy experimentally, a Fourier-optics-based angle-resolved imaging spectroscopy with an all-fixed light path is developed to measure the dispersions by a single shot, acquiring adequate information. Our forward-mapping algorithm can enable real-time comparisons between robust predictions and experimental data with actual noises, showing an excellent linear correlation (R-2 > 0.982) with the measurements of atomic force microscopy. Our work provides a new strategy for reconstructing grating profiles in inverse scattering problems.
Authors
I am an author on this paper
Click your name to claim this paper and add it to your profile.
Reviews
Recommended
No Data Available