Network of parametrically driven silicon nitride mechanical membranes

Networks of nonlinear resonators can emulate complex systems and perform analog computations. Nevertheless, combining high quality factors with strongly coupled and tunable nonlinear resonators in a scalable architecture remains challenging. In this work, the authors realize a network of parametrically driven silicon nitride membranes that fulfills all of these criteria. By metallizing the membranes and actuating them capacitively, the team achieves tunable frequencies and controllable coupled parametric responses. This platform could be used to tackle computationally hard problems and explore emergent collective phenomena.

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Publication Details

Journal
Physical Review Applied
Published
2025-09-15
DOI
https://doi.org/10.1103/kx2w-czjf
Primary Topic
Mechanical and Optical Resonators
Type
article
Field-Weighted Citation Impact
0.00
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article

Network of parametrically driven silicon nitride mechanical membranes

Alexander Eichler, Gabriel Margiani, Letizia Catalini, Vincent Dumont et al.
Physical Review Applied
Mechanical and Optical Resonators
article

Network of parametrically driven silicon nitride mechanical membranes

Alexander Eichler, Gabriel Margiani, Letizia Catalini, Vincent Dumont, Suyash Singh, Luis Mestre
article en

Abstract

Networks of nonlinear resonators can emulate complex systems and perform analog computations. Nevertheless, combining high quality factors with strongly coupled and tunable nonlinear resonators in a scalable architecture remains challenging. In this work, the authors realize a network of parametrically driven silicon nitride membranes that fulfills all of these criteria. By metallizing the membranes and actuating them capacitively, the team achieves tunable frequencies and controllable coupled parametric responses. This platform could be used to tackle computationally hard problems and explore emergent collective phenomena.

Physical Review AppliedVol. 24(4)
Institute for Atomic and Molecular Physics (NL), ETH Zurich (CH)
Openalex Percentile: Top 76%
Mechanical and Optical Resonators
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Network of parametrically driven silicon nitride mechanical membranes — Alexander Eichler, Gabriel Margiani, et al. · Physical Review Applied (2025) | TGRS Research Map | TGRS