Abstract
Metasurfaces provide unprecedented routes to manipulations on electromagnetic waves, which can realize many exotic functionalities. Despite the rapid development of metasurfaces in recent years, the design process of metasurface is still time‐consuming and computational resource‐consuming. Moreover, it is quite complicated for layman users to design metasurfaces as plenty of specialized knowledge is required. In this work, a metasurface design method named REACTIVE is proposed on the basis of deep learning, as deep learning method has shown its natural advantages and superiorities in mining undefined rules automatically in many fields. REACTIVE is capable of calculating metasurface structure directly through a given design target; meanwhile, it also shows the advantage in making the design process automatic, more efficient, less time‐consuming, and less computational resource‐consuming. Besides, it asks for less professional knowledge, so that engineers are required only to pay attention to the design target. Herein, a triple‐band absorber is designed using the REACTIVE method, where a deep learning model computes the metasurface structure automatically through inputting the desired absorption rate. The whole design process is achieved 200 times faster than the conventional one, which convincingly demonstrates the superiority of this design method. REACTIVE is an effective design tool for designers, especially for laymen users and engineers.
Highlights
Introduction of REACTIVEBased on deep learning, a rapid, efficient, and automatic metasurface design method, named REACTIVE, is proposed in this paper
Once a design target of the metasurface is input into trained deep learning model, the structure of the metasurface will be generated automatically
We propose a new metasurface design method named REACTIVE
Summary
A rapid, efficient, and automatic metasurface design method, named REACTIVE, is proposed in this paper. We associate the metasurface structure with its EM properties through deep learning method. In this part, we first introduce the structure of metasurfaces, followed by the overall REACTIVE design idea from the aspect of training and generating metasurface model
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