Mid-infrared computational spectroscopy scheme via metasurface filter arrays and physics-data dual-driven spectral reconstruction
Year: 2026
Type: article
Abstract: This study proposes a mid-infrared (MIR) spectral sensing scheme based on a metasurface filter array integrated with a physics-data dual-driven algorithm. Two types of metasurface structures, namely the silicon-based gold micro-hole array (Si-Au-MHA) and the silicon-based gold micro-pillar array (Si-Au-MPA), were designed through simulation to determine their structural parameters for fabrication, aiming to achieve spectral control across the 3-12 μm band. Samples were fabricated, and the transmission spectra were measured and validated. Furthermore, a physics-data dual-driven spectral reconstruction method combining regularized physical constraint with a neural network was introduced, demonstrating superior performance in both amplitude and spectral profile compared to purely physics-based or data-driven approaches. This work provides a viable solution for portable MIR spectral sensing applications.
Source: Optics Express
DOI: 10.1364/oe.590141
Authors: Tianzhen Ma, Zhijing He, Ruhua Jin, Chunlai Li, Liyin Yuan
Language: English
Field: Materials Science
Domain: Physical Sciences
Open Access status: gold
Estimated APC paid: $2,270
Award: G3261968333
OpenAlex ID: W7147238268
