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

来源：

2024 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM, ACES 2024 | 2024年

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.

引用

页数：2

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