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Research Article

Characterization of dispersion-manipulation capability of periodic structure

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Pages 2756-2768 | Received 13 May 2022, Accepted 20 Jul 2022, Published online: 30 Jul 2022
 

Abstract

Conventional analyses on dispersion tend to concentrate on the derivation and validation of closed-form solution, which is localized, viz. without an effective analysis pattern to uncover the full picture about dispersion space. This work shall provide a systematic treatment towards the panorama of dispersion space with the assistance of neural network. A thorough analysis pattern is presented to fully explore the dispersion space and gain some insight into it on the basis of several characterizations and rational-constrained analytic domain. The full picture of dispersion space and corresponding dispersion-manipulation capability are disclosed in this manner. The analysis pattern is of generality since the steps involved shall be easily transplanted to other periodic structures.

Disclosure statement

No potential conflict of interest.

Additional information

Funding

This work was supported in part by the National Key Basic Research Program of China under Grant 2019YFA0210201 and in part by the National Natural Science Foundation of China under Grant 12075247.

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