Differentiable Inverse Design of Free-form Meta-optics Using Multiplicative Filter Network

被引:0
|
作者
Huang, Yi [1 ]
Dong, Yunxi [1 ]
Zhao, Huan [1 ]
Tang, Hong [1 ]
Zheng, Bowen [1 ]
Zhang, Hualiang [1 ]
机构
[1] Univ Massachusetts Lowell, Lowell, MA 01854 USA
基金
美国国家科学基金会;
关键词
inverse design; automatic differentiation; R-DIT; MFN; torchrdit; implicit neural representation;
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Recent developments in automatic differentiation enhance the inverse design methodologies for optimizing flexible and free-form meta-optical devices. This study introduces an inverse design framework that merges a fully differentiable rigorous diffraction interface theory solver with a multiplicative filter network, serving as a generator for free-form meta-atoms. The simulation outcomes confirm that our framework effectively meets its design objectives, optimizing two wide-band mid-infrared beam deflectors for TE and TM modes and enhancing transmission efficiencies to as much as 80% at target wavelengths.
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页数:2
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