Nature Communications (May 2022)

Inverse design enables large-scale high-performance meta-optics reshaping virtual reality

  • Zhaoyi Li,
  • Raphaël Pestourie,
  • Joon-Suh Park,
  • Yao-Wei Huang,
  • Steven G. Johnson,
  • Federico Capasso

DOI
https://doi.org/10.1038/s41467-022-29973-3
Journal volume & issue
Vol. 13, no. 1
pp. 1 – 11

Abstract

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Abstract Meta-optics has achieved major breakthroughs in the past decade; however, conventional forward design faces challenges as functionality complexity and device size scale up. Inverse design aims at optimizing meta-optics design but has been currently limited by expensive brute-force numerical solvers to small devices, which are also difficult to realize experimentally. Here, we present a general inverse-design framework for aperiodic large-scale (20k × 20k λ 2) complex meta-optics in three dimensions, which alleviates computational cost for both simulation and optimization via a fast approximate solver and an adjoint method, respectively. Our framework naturally accounts for fabrication constraints via a surrogate model. In experiments, we demonstrate aberration-corrected metalenses working in the visible with high numerical aperture, poly-chromatic focusing, and large diameter up to the centimeter scale. Such large-scale meta-optics opens a new paradigm for applications, and we demonstrate its potential for future virtual-reality platforms by using a meta-eyepiece and a laser back-illuminated micro-Liquid Crystal Display.