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.

The authors present a general inverse-design framework for large-area 3D meta-optics that show engineered focusing. Such meta-optics, in combination with a laser-illuminated micro-LCD, open a path towards a future virtual reality platform.

Details

Title
Inverse design enables large-scale high-performance meta-optics reshaping virtual reality
Author
Li, Zhaoyi 1   VIAFID ORCID Logo  ; Pestourie, Raphaël 2   VIAFID ORCID Logo  ; Park, Joon-Suh 3 ; Huang, Yao-Wei 4   VIAFID ORCID Logo  ; Johnson, Steven G. 2 ; Capasso, Federico 1   VIAFID ORCID Logo 

 Harvard University, Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, USA (GRID:grid.38142.3c) (ISNI:0000 0004 1936 754X) 
 Department of Mathematics, Massachusetts Institute of Technology, Cambridge, USA (GRID:grid.116068.8) (ISNI:0000 0001 2341 2786) 
 Harvard University, Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, USA (GRID:grid.38142.3c) (ISNI:0000 0004 1936 754X); Nanophotonics Research Center, Korea Institute of Science and Technology, Seoul, Republic of Korea (GRID:grid.496416.8) (ISNI:0000 0004 5934 6655) 
 Harvard University, Harvard John A. Paulson School of Engineering and Applied Sciences, Cambridge, USA (GRID:grid.38142.3c) (ISNI:0000 0004 1936 754X); National University of Singapore, Department of Electrical and Computer Engineering, Singapore, Singapore (GRID:grid.4280.e) (ISNI:0000 0001 2180 6431); National Yang Ming Chiao Tung University, Department of Photonics, Hsinchu, Taiwan (GRID:grid.260539.b) (ISNI:0000 0001 2059 7017) 
Pages
2409
Publication year
2022
Publication date
2022
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2658984956
Copyright
© The Author(s) 2022. corrected publication 2023. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.