English

Very-Large-Scale-Integrated High-$Q$ Nanoantenna Pixels (VINPix)

Optics 2024-04-02 v3

Abstract

Metasurfaces provide a versatile and compact approach to free-space optical manipulation and wavefront shaping. Comprised of arrays of judiciously-arranged dipolar resonators, metasurfaces precisely control the amplitude, polarization, and phase of light, with applications spanning imaging, sensing, modulation, and computing. Three crucial performance metrics of metasurfaces and their constituent resonators are the quality factor (QQ-factor), mode-volume (VmV_m), and the ability to control far-field radiation. Often, resonators face a trade-off between these parameters: a reduction in VmV_m leads to an equivalent reduction in QQ, albeit with more control over radiation. Here, we demonstrate that this perceived compromise is not inevitable - high-QQ, subwavelength VmV_m, and controlled dipole-like radiation can be achieved, simultaneously. We design high-QQ, very-large-scale integrated silicon nanoantenna pixels - VINPix - that combine guided mode resonance waveguides with photonic crystal cavities. With optimized nanoantennas, we achieve QQ-factors exceeding 1500 with VmV_m less than 0.1 (λ/nair)3(\lambda/n_{\text{air}})^3. Each nanoantenna is individually addressable by free-space light, and exhibits dipole-like scattering to the far-field. Resonator densities exceeding a million nanoantennas per cm2\text{cm}^2 can be achieved, as demonstrated by our fabrication of an 8 mm x 8 mm VINPix array. As a proof-of-concept application, we demonstrate spectrometer-free, spatially localized, refractive-index sensing utilizing a VINPix array. Our platform provides a foundation for compact, densely multiplexed devices such as spatial light modulators, computational spectrometers, and in-situ environmental sensors.

Keywords

Cite

@article{arxiv.2310.08065,
  title  = {Very-Large-Scale-Integrated High-$Q$ Nanoantenna Pixels (VINPix)},
  author = {Varun Dolia and Halleh B. Balch and Sahil Dagli and Sajjad Abdollahramezani and Hamish Carr Delgado and Parivash Moradifar and Kai Chang and Ariel Stiber and Fareeha Safir and Mark Lawrence and Jack Hu and Jennifer A. Dionne},
  journal= {arXiv preprint arXiv:2310.08065},
  year   = {2024}
}
R2 v1 2026-06-28T12:48:14.909Z