Inverse design enables large-scale high-performance meta-optics reshaping virtual reality
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s41467-022-29973-3.pdf
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4.9 MB
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Checksum (MD5)
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Author(s)
Li, Zhaoyi
Pestourie, Raphaël
Park, Joon-Suh
Huang, Yao-Wei
Johnson, Steven G.
Capasso, Federico
Date Issued
May 2022
Journal
Nature Communications
Publisher
Springer Science and Business Media LLC
Citation
Li, Zhaoyi, Pestourie, Raphaël, Park, Joon-Suh, Huang, Yao-Wei, Johnson, Steven G. et al. 2022. "Inverse design enables large-scale high-performance meta-optics reshaping virtual reality." Nature Communications, 13 (1).
Version
Final published version
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.
MIT Department
Massachusetts Institute of Technology. Department of Mathematics
Terms of Use
Creative Commons Attribution 4.0 International License
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1038/s41467-022-29973-3
