Finite element-based nonlinear dynamic optimization of nanomechanical resonators

Abstract Nonlinear dynamic simulations of mechanical resonators have been facilitated by the advent of computational techniques that generate nonlinear reduced order models (ROMs) using the finite element (FE) method. However, designing devices with specific nonlinear characteristics remains ineffic...

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Main Authors: Zichao Li, Farbod Alijani, Ali Sarafraz, Minxing Xu, Richard A. Norte, Alejandro M. Aragón, Peter G. Steeneken
Format: Article
Language:English
Published: Nature Publishing Group 2025-01-01
Series:Microsystems & Nanoengineering
Online Access:https://doi.org/10.1038/s41378-024-00854-7
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author Zichao Li
Farbod Alijani
Ali Sarafraz
Minxing Xu
Richard A. Norte
Alejandro M. Aragón
Peter G. Steeneken
author_facet Zichao Li
Farbod Alijani
Ali Sarafraz
Minxing Xu
Richard A. Norte
Alejandro M. Aragón
Peter G. Steeneken
author_sort Zichao Li
collection DOAJ
description Abstract Nonlinear dynamic simulations of mechanical resonators have been facilitated by the advent of computational techniques that generate nonlinear reduced order models (ROMs) using the finite element (FE) method. However, designing devices with specific nonlinear characteristics remains inefficient since it requires manual adjustment of the design parameters and can result in suboptimal designs. Here, we integrate an FE-based nonlinear ROM technique with a derivative-free optimization algorithm to enable the design of nonlinear mechanical resonators. The resulting methodology is used to optimize the support design of high-stress nanomechanical Si3N4 string resonators, in the presence of conflicting objectives such as simultaneous enhancement of Q-factor and nonlinear Duffing constant. To that end, we generate Pareto frontiers that highlight the trade-offs between optimization objectives and validate the results both numerically and experimentally. To further demonstrate the capability of multi-objective optimization for practical design challenges, we simultaneously optimize the design of nanoresonators for three key figure-of-merits in resonant sensing: power consumption, sensitivity and response time. The presented methodology can facilitate and accelerate designing (nano) mechanical resonators with optimized performance for a wide variety of applications.
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spelling doaj-art-64fc1782307c41458daecf80de9a078e2025-01-26T12:38:23ZengNature Publishing GroupMicrosystems & Nanoengineering2055-74342025-01-0111111010.1038/s41378-024-00854-7Finite element-based nonlinear dynamic optimization of nanomechanical resonatorsZichao Li0Farbod Alijani1Ali Sarafraz2Minxing Xu3Richard A. Norte4Alejandro M. Aragón5Peter G. Steeneken6Faculty of Mechanical Engineering, Department of Precision and Microsystems Engineering, Delft University of TechnologyFaculty of Mechanical Engineering, Department of Precision and Microsystems Engineering, Delft University of TechnologyFaculty of Mechanical Engineering, Department of Precision and Microsystems Engineering, Delft University of TechnologyFaculty of Mechanical Engineering, Department of Precision and Microsystems Engineering, Delft University of TechnologyFaculty of Mechanical Engineering, Department of Precision and Microsystems Engineering, Delft University of TechnologyFaculty of Mechanical Engineering, Department of Precision and Microsystems Engineering, Delft University of TechnologyFaculty of Mechanical Engineering, Department of Precision and Microsystems Engineering, Delft University of TechnologyAbstract Nonlinear dynamic simulations of mechanical resonators have been facilitated by the advent of computational techniques that generate nonlinear reduced order models (ROMs) using the finite element (FE) method. However, designing devices with specific nonlinear characteristics remains inefficient since it requires manual adjustment of the design parameters and can result in suboptimal designs. Here, we integrate an FE-based nonlinear ROM technique with a derivative-free optimization algorithm to enable the design of nonlinear mechanical resonators. The resulting methodology is used to optimize the support design of high-stress nanomechanical Si3N4 string resonators, in the presence of conflicting objectives such as simultaneous enhancement of Q-factor and nonlinear Duffing constant. To that end, we generate Pareto frontiers that highlight the trade-offs between optimization objectives and validate the results both numerically and experimentally. To further demonstrate the capability of multi-objective optimization for practical design challenges, we simultaneously optimize the design of nanoresonators for three key figure-of-merits in resonant sensing: power consumption, sensitivity and response time. The presented methodology can facilitate and accelerate designing (nano) mechanical resonators with optimized performance for a wide variety of applications.https://doi.org/10.1038/s41378-024-00854-7
spellingShingle Zichao Li
Farbod Alijani
Ali Sarafraz
Minxing Xu
Richard A. Norte
Alejandro M. Aragón
Peter G. Steeneken
Finite element-based nonlinear dynamic optimization of nanomechanical resonators
Microsystems & Nanoengineering
title Finite element-based nonlinear dynamic optimization of nanomechanical resonators
title_full Finite element-based nonlinear dynamic optimization of nanomechanical resonators
title_fullStr Finite element-based nonlinear dynamic optimization of nanomechanical resonators
title_full_unstemmed Finite element-based nonlinear dynamic optimization of nanomechanical resonators
title_short Finite element-based nonlinear dynamic optimization of nanomechanical resonators
title_sort finite element based nonlinear dynamic optimization of nanomechanical resonators
url https://doi.org/10.1038/s41378-024-00854-7
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