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Smart patterning for topological pumping of elastic surface waves.
Wang, Shaoyun; Hu, Zhou; Wu, Qian; Chen, Hui; Prodan, Emil; Zhu, Rui; Huang, Guoliang.
Afiliação
  • Wang S; Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65211, USA.
  • Hu Z; School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China.
  • Wu Q; Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65211, USA.
  • Chen H; Piezoelectric Device Laboratory, School of Mechanical Engineering and Mechanics Ningbo University, Ningbo 315211, China.
  • Prodan E; Department of Physics, Yeshiva University, New York, NY 10016, USA.
  • Zhu R; School of Aerospace Engineering, Beijing Institute of Technology, Beijing 100081, China.
  • Huang G; Department of Mechanical and Aerospace Engineering, University of Missouri, Columbia, MO 65211, USA.
Sci Adv ; 9(30): eadh4310, 2023 Jul 28.
Article em En | MEDLINE | ID: mdl-37506214
ABSTRACT
Topological pumping allows waves to navigate a sample undisturbed by disorders and defects. We demonstrate this phenomenon with elastic surface waves by strategically patterning an elastic surface to create a synthetic dimension. The surface is decorated with arrays of resonating pillars that are connected by spatially slow-varying coupling bridges and support eigenmodes located below the sound cone. We establish a connection between the collective dynamics of the pillars and that of electrons in a magnetic field by developing a tight-binding model and a WKB (Wentzel-Kramers-Brillouin) analysis. This enables us to predict the topological pumping pattern, which we validate through numerical and experimental steering of waves from one edge to the other. Furthermore, we observe the immune nature of the topologically pumped surface waves to disorder and defects. The combination of surface patterning and WKB analysis provides a versatile platform for controlling surface waves and exploring topological matter in higher dimensions.

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Adv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Tipo de estudo: Prognostic_studies Idioma: En Revista: Sci Adv Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
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