Metamaterial simulation data processing method and device

Abstract

The invention discloses a metamaterial simulation data processing method and a metamaterial simulation data processing device. The metamaterial simulation data processing method includes the steps of obtaining N transferring samples through a simulation algorithm, wherein each transferring sample comprises structural parameters characterizing metamaterial units and N is a natural number, obtaining distance values respectively comparing electromagnetic response characteristics of metamaterial units expressed by the N transferring samples with an electromagnetic response characteristic of a metamaterial unit expressed by a target sample, sequencing the N obtained distance values according to a fast sequencing algorithm, obtaining the transferring samples corresponding to the N distance values which are smaller in the sequenced distance values, and treating the transferring samples corresponding to the N distance values as designed samples, wherein n is a natural number less than N. The metamaterial simulation data processing method and the metamaterial simulation data processing device has the advantages of being capable of achieving automatic processing of metamaterial simulation data and improving data processing efficiency.

Description

technical field [0001] The invention relates to the field of metamaterials, in particular to a method and device for processing metamaterial simulation data. Background technique [0002] Metamaterial technology is a cutting-edge cross-technology, and the technical fields of its design include electromagnetic, microwave, terahertz, photonics, advanced engineering design system, communication, semiconductor and other fields. Its core idea is to use complex artificial microstructure design and processing to realize artificial "atoms" to respond to electromagnetic fields or sonar. Its core theory is anamorphic optics describing electromagnetic wave trajectories and metamaterial properties. One of the core difficulties of this technology is how to model and design thousands of different artificial microstructures and arrange them reasonably to form a metamaterial device with special functions. This has brought great difficulties to modeling, calculation, theoretical analysis, ...

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Problems solved by technology

This has brought great difficulties to modeling, calculation, theoretical analysis, design, and debugging.

[0003] In the field of metamaterial design, due to the complex response of the metamaterial unit structure and the limited sampling points of the experimental design, it is difficult for the traditional parametric model to fit its response surface, and it is impossible to achieve accurate modeling, resulting in the bottleneck of the automatic design of metamaterials.

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