Method and device for metamaterial simulation data

Abstract

The invention discloses a method and a device for metamaterial simulation data. The method comprises that N transfer samples are obtained through a simulation algorithm, the transfer samples comprise structure parameters representing metamaterial units, N is a natural number; distance values generated by respectively comparing electromagnetic response characteristics of the metamaterial units represented by the N transfer samples and electromagnetic response characteristics of the metamaterial units represented by target samples are obtained; the obtained N distance values are subjected to Shell sort, the transfer samples corresponding to n small distance values in the sort are obtained, the transfer samples corresponding to the n distance values are used as design samples, and n is a natural number smaller than N. Automatic processing of the metamaterial simulation data can be achieved, and efficiency of data processing can be improved.

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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