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Acoustic Resonance Tuning by High-Order Lorentzian Mixing.
Kim, Hyeongpin; Seong, Yeolheon; Kwon, Kiwon; Hwang, Taek Yong; Shin, Heedeuk.
Afiliação
  • Kim H; Department of Physics, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.
  • Seong Y; Department of Physics, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.
  • Kwon K; Department of Physics, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.
  • Hwang TY; Molding and Metal Forming R&D Department, Korea Institute of Industrial Technology, Bucheon 14441, Republic of Korea.
  • Shin H; Department of Physics, Pohang University of Science and Technology (POSTECH), Pohang 37673, Republic of Korea.
Nano Lett ; 2024 May 13.
Article em En | MEDLINE | ID: mdl-38740527
ABSTRACT
Nanoscale mechanical resonators have attracted a great deal of attention for signal processing, sensors, and quantum applications. Recent progress in ultrahigh-Q acoustic cavities in nanostructures allows strong interactions with various physical systems and advanced functional devices. Those acoustic cavities are highly sensitive to external perturbations, and it is hard to control those resonance properties since those responses are determined by the geometry and material. In this paper, we demonstrate a novel acoustic resonance tuning method by mixing high-order Lorentzian responses in an optomechanical system. Using weakly coupled phononic-crystal acoustic cavities, we achieve coherent mixing of second- and third-order Lorentzian responses, which is capable of the fine-tunability of the bandwidth and peak frequency of the resonance with a tuning range comparable to the acoustic dissipation rate of the device. This novel resonance tuning method can be widely applied to Lorentzian-response systems and optomechanics, especially active compensation for environmental fluctuation and fabrication errors.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2024 Tipo de documento: Article