Toward Enhanced Inertial Sensing via Dynamically Soft Topological States in Piezoelectric Microacoustic Metamaterials
Onurcan Kaya, Niccolo Scalise Pantuso, Marco Galli, Jacopo M. De Ponti, Tommaso Maggioli, Davide Pavesi, Siddhartha Ghosh, Attilio Frangi, Luca Colombo, Benyamin Davaji, Matteo Rinaldi, David Horsley, Cristian Cassella

TL;DR
This paper introduces a piezoelectric microacoustic device leveraging topological interface states to significantly enhance inertial sensing, achieving record-high particle velocities surpassing previous gyroscope capabilities.
Contribution
It demonstrates, both theoretically and experimentally, that topological interface states in metamaterials can greatly increase modal compliance and particle velocity in piezoelectric gyroscopes.
Findings
Achieved particle velocities over 51 m/s, the highest for piezoelectric gyroscopes.
Topological interface states provide higher compliance than traditional Lamb or Rayleigh modes.
Experimental validation confirms theoretical predictions of enhanced performance.
Abstract
In recent decades, microelectromechanical systems (MEMS)-based gyroscopes have been employed to meet positioning and navigation demands of a plethora of commercially available devices. Most of such gyroscopes rely on electrostatic actuators with nanometer-scale air gapsan architecture that enables large particle velocities in a proof mass and, consequently, high Coriolis-force sensitivity to angular velocitybut is inherently susceptible to damage under shock and vibration. This vulnerability is typically mitigated by purposely reducing gyroscopic sensitivity, thereby compromising readout accuracy. Microacoustic gyroscopes, by contrast, offer greater resilience to shock and vibration but currently exhibit significantly lower sensitivities. This limitation stems from the low dynamic compliance of the modes they employtypically Lamb or…
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Taxonomy
TopicsAcoustic Wave Phenomena Research · Mechanical and Optical Resonators · Nonlocal and gradient elasticity in micro/nano structures
