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 () and Federico Capasso ()
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Zhaoyi Li: Harvard University
Raphaël Pestourie: Department of Mathematics, Massachusetts Institute of Technology
Joon-Suh Park: Harvard University
Yao-Wei Huang: Harvard University
Steven G. Johnson: Department of Mathematics, Massachusetts Institute of Technology
Federico Capasso: Harvard University

Nature Communications, 2022, vol. 13, issue 1, 1-11

Abstract: 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 λ2) 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.

Date: 2022
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DOI: 10.1038/s41467-022-29973-3

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