journal article·2023-08-01Open access

High-order mode interface states of surface water waves based on non-Bragg resonances

Yue Gao, Lin-Ge Wang, Liu-Wei Qian, Ya-Xian Fan, Zhi-Yong Tao

AIP Advances· Volume 13· Issue 8

Abstract

In this paper, we connect two periodic channels with bandgaps of different physical properties to form a heterojunction of surface water waves, which realize a high-order mode water wave interface state and concentrate the water wave energy near the heterojunction interface. By introducing a spatial symmetry breaking mechanism, we obtain a periodic channel with non-Bragg bandgaps due to different mode resonances. At a similar central frequency of the gap, another periodic channel is designed to generate Bragg bandgaps of the same mode resonances. The results of the mode analysis indicate that the localized region of the interface state in the frequency range of the non-Bragg bandgap contains a high-order mode component, which is dominant. The interface states induced by the high-order modes are much more efficient in wave accumulation. By introducing defect structures with different lengths, the frequency tuning of the high-order mode interface states is also achieved. The high-order mode interface state provides a different way for wave aggregation, and its implementation is also applicable to other classical wave systems due to the ubiquity of wave phenomena.
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Research context

OpenAlex topics: Acoustic Wave Phenomena Research · Acoustic Wave Resonator Technologies · Metamaterials and Metasurfaces Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Key Laboratory of Cognitive Radio and Information Processing, Ministry of Education, Guilin University of Electronic Technology 1 , Guilin 541004, People’s Republic of China

Academy of Marine Information Technology, Guilin University of Electronic Technology 2 , Beihai 536000, People’s Republic of China

Guangxi Key Laboratory of Wireless Wideband Communication and Signal Processing, Guilin University of Electronic Technology 3 , Guilin 541004, People’s Republic of China

Funding

Natural Science Foundation of Guangxi Province · National Natural Science Foundation of China

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