English

Reconfigurable Image Processing Metasurfaces with Phase-Change Materials

Optics 2023-11-23 v1 Applied Physics

Abstract

Optical metasurfaces have been enabling reduced footprint and power consumption, as well as faster speeds, in the context of analog computing and image processing. While various image processing and optical computing functionalities have been recently demonstrated using metasurfaces, most of the considered devices are static and lack reconfigurability. Yet, the ability to dynamically reconfigure processing operations is key for metasurfaces to be able to compete with practical computing systems. Here, we demonstrate a passive edge-detection metasurface operating in the near-infrared regime whose image processing response can be drastically modified by temperature variations smaller than 10{\deg} C around a CMOS-compatible temperature of 65{\deg} C. Such reconfigurability is achieved by leveraging the insulator-to-metal phase transition of a thin buried layer of vanadium dioxide which, in turn, strongly alters the nonlocal response of the metasurface. Importantly, this reconfigurability is accompanied by performance metrics - such as high numerical aperture, high efficiency, isotropy, and polarization-independence - close to optimal, and it is combined with a simple geometry compatible with large-scale manufacturing. Our work paves the way to a new generation of ultra-compact, tunable, passive devices for all-optical computation, with potential applications in augmented reality, remote sensing and bio-medical imaging.

Keywords

Cite

@article{arxiv.2311.13109,
  title  = {Reconfigurable Image Processing Metasurfaces with Phase-Change Materials},
  author = {Michele Cotrufo and Shaban B. Sulejman and Lukas Wesemann and Md. Ataur Rahman and Madhu Bhaskaran and Ann Roberts and Andrea Alù},
  journal= {arXiv preprint arXiv:2311.13109},
  year   = {2023}
}

Comments

Main text (18 pages, 5 figures), followed by high-resolution vector-graphic versions of the figures and by the Supplementary Information

R2 v1 2026-06-28T13:28:08.453Z