English

Dynamically Tunable Membrane Metasurfaces for Infrared Spectroscopy

Applied Physics 2025-06-13 v1 Optics

Abstract

Mid-infrared spectroscopy enables biochemical sensing by identifying vibrational molecular fingerprints, but it faces limitations in instrumentation portability and analytical sensitivity. Optical metasurfaces with strong mid-IR photonic resonances provide an attractive solution towards on-chip spectrometry and sensitive molecular detection, yet their static nature hinders their anticipated impact. Here, we introduce and demonstrate dynamically tunable silicon membrane metasurfaces exhibiting high-Q transmissive resonances in the fingerprint region. By harnessing silicon's thermo-optical properties, we achieve continuous modulation of electromagnetically induced transparency (EIT)-like modes that emerge upon the interference of quasi-bound states in the continuum (q-BICs) and surface lattice modes. We measure a spectral tuning rate of 0.06 cm1/Kcm^{-1}/K by continuously sweeping the sharp EIT resonances over a 23.5 cm1cm^{-1} spectral range across a temperature range of 300-700 K. This dynamic transmission control enables non-contact chemical analysis of polymer films by detecting characteristic absorption bands of polystyrene (1450 and 1492 cm1cm^{-1}) and Poly(methyl methacrylate) (1730 cm1cm^{-1}) without bulky spectrometers. When analyte molecules fill the metasurface-generated photonic cavities, we demonstrate vibrational strong coupling between the Poly(methyl methacrylate)'s carbonyl band and the EIT mode, manifested in the Rabi splitting of \sim 43 cm1cm^{-1}. Our results establish a new photonic platform that unites spectral precision, strong field enhancement, and reconfigurability, offering diverse potential for compact mid-IR spectroscopy, molecular sensing, and programmable polaritonic photonics.

Keywords

Cite

@article{arxiv.2506.10115,
  title  = {Dynamically Tunable Membrane Metasurfaces for Infrared Spectroscopy},
  author = {Furkan Kuruoglu and Samir Rosas and Jin-Woo Cho and David A. Czaplewski and Yuri Kivshar and Mikhail Kats and Filiz Yesilkoy},
  journal= {arXiv preprint arXiv:2506.10115},
  year   = {2025}
}
R2 v1 2026-07-01T03:12:00.678Z