Esmenda, J.C. and Aguila, M.A.C. and Wang, J.-Y. and Lee, T.-H. and Yang, C.-Y. and Lin, K.-H. and Chang-Liao, K.-S. and Katz, N. and Kafanov, S. and Pashkin, Y.A. and Chen, C.-D. (2021) Imaging Off-Resonance Nanomechanical Motion as Modal Superposition. Advanced Science, 8 (13). ISSN 2198-3844
Full text not available from this repository.Abstract
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.