Open AccessImaging Off‐Resonance Nanomechanical Motion as Modal Superposition
Author(s) -
Esmenda Joshoua Condicion,
Aguila Myrron Albert Callera,
Wang JyhYang,
Lee TeikHui,
Yang ChiYuan,
Lin KungHsuan,
ChangLiao KueiShu,
Katz Nadav,
Kafanov Sergey,
Pashkin Yuri A.,
Chen ChiiDong
Publication year - 2021
Publication title -
advanced science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.388
H-Index - 100
ISSN - 2198-3844
DOI - 10.1002/advs.202005041
Subject(s) - superposition principle , modal , resonance (particle physics) , modal analysis , modal testing , acoustics , asymmetry , physics , normal mode , modal analysis using fem , mode (computer interface) , classical mechanics , materials science , computer science , vibration , atomic physics , quantum mechanics , polymer chemistry , operating system
Observation of resonance modes is the most straightforward way of studying mechanical oscillations because these modes have maximum response to stimuli. However, a deeper understanding of mechanical motion can be obtained by also looking at modal responses at frequencies in between resonances. Here, an imaging of the modal responses for a nanomechanical drum driven off resonance is presented. By using the frequency modal analysis, these shapes are described as a superposition of resonance modes. It is found that the spatial distribution of the oscillating component of the driving force, which is affected by both the shape of the actuating electrode and inherent device properties such as asymmetry and initial slack, greatly influences the modal weight or participation. This modal superposition analysis elucidates the dynamics of any nanomechanical system through modal weights. This aids in optimizing mode‐specific designs for force sensing and integration with other systems.