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Modeling Graphene–Polymer Heterostructure MEMS Membranes with the Föppl–von Kármán Equations
[Image: see text] Ultra-thin graphene-based membranes have shown significant promise for high-performance nano-electro-mechanical (NEMS) devices. The key challenge in the modeling of such membranes is that they often operate in deflection regimes where the assumptions or approximations of “pure bend...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Chemical Society
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951177/ https://www.ncbi.nlm.nih.gov/pubmed/36748982 http://dx.doi.org/10.1021/acsami.2c21096 |
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author | Smith, Katherine Retallick, Aidan Melendrez, Daniel Vijayaraghavan, Aravind Heil, Matthias |
author_facet | Smith, Katherine Retallick, Aidan Melendrez, Daniel Vijayaraghavan, Aravind Heil, Matthias |
author_sort | Smith, Katherine |
collection | PubMed |
description | [Image: see text] Ultra-thin graphene-based membranes have shown significant promise for high-performance nano-electro-mechanical (NEMS) devices. The key challenge in the modeling of such membranes is that they often operate in deflection regimes where the assumptions or approximations of “pure bending” or “pure stretching” are not satisfied. We present a model of graphene–polymer heterostructure (GPH) NEMS membranes based on Föppl–von Kármán (FvK) equations which take into account both bending and stretching forces. The experimental GPH membrane shape obtained through atomic force microscopy topography mapping is compared to the inflation shapes predicted by FvK-based finite element method simulation, and they show excellent agreement with each other. When the GPH membranes are deflected under pressure in a capacitive pressure sensor configuration, the effectiveness of this model is further exemplified through accurately predicting the capacitance change of deflecting GPH membrane devices at varying pressures. This model serves as a powerful new tool in the design and development of graphene-based NEMS devices, being able to predict the performance of graphene NEMS devices or to aid in the design of device geometries to match required performances. |
format | Online Article Text |
id | pubmed-9951177 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Chemical Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-99511772023-02-25 Modeling Graphene–Polymer Heterostructure MEMS Membranes with the Föppl–von Kármán Equations Smith, Katherine Retallick, Aidan Melendrez, Daniel Vijayaraghavan, Aravind Heil, Matthias ACS Appl Mater Interfaces [Image: see text] Ultra-thin graphene-based membranes have shown significant promise for high-performance nano-electro-mechanical (NEMS) devices. The key challenge in the modeling of such membranes is that they often operate in deflection regimes where the assumptions or approximations of “pure bending” or “pure stretching” are not satisfied. We present a model of graphene–polymer heterostructure (GPH) NEMS membranes based on Föppl–von Kármán (FvK) equations which take into account both bending and stretching forces. The experimental GPH membrane shape obtained through atomic force microscopy topography mapping is compared to the inflation shapes predicted by FvK-based finite element method simulation, and they show excellent agreement with each other. When the GPH membranes are deflected under pressure in a capacitive pressure sensor configuration, the effectiveness of this model is further exemplified through accurately predicting the capacitance change of deflecting GPH membrane devices at varying pressures. This model serves as a powerful new tool in the design and development of graphene-based NEMS devices, being able to predict the performance of graphene NEMS devices or to aid in the design of device geometries to match required performances. American Chemical Society 2023-02-07 /pmc/articles/PMC9951177/ /pubmed/36748982 http://dx.doi.org/10.1021/acsami.2c21096 Text en © 2023 The Authors. Published by American Chemical Society https://creativecommons.org/licenses/by/4.0/Permits the broadest form of re-use including for commercial purposes, provided that author attribution and integrity are maintained (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Smith, Katherine Retallick, Aidan Melendrez, Daniel Vijayaraghavan, Aravind Heil, Matthias Modeling Graphene–Polymer Heterostructure MEMS Membranes with the Föppl–von Kármán Equations |
title | Modeling Graphene–Polymer
Heterostructure MEMS
Membranes with the Föppl–von Kármán Equations |
title_full | Modeling Graphene–Polymer
Heterostructure MEMS
Membranes with the Föppl–von Kármán Equations |
title_fullStr | Modeling Graphene–Polymer
Heterostructure MEMS
Membranes with the Föppl–von Kármán Equations |
title_full_unstemmed | Modeling Graphene–Polymer
Heterostructure MEMS
Membranes with the Föppl–von Kármán Equations |
title_short | Modeling Graphene–Polymer
Heterostructure MEMS
Membranes with the Föppl–von Kármán Equations |
title_sort | modeling graphene–polymer
heterostructure mems
membranes with the föppl–von kármán equations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9951177/ https://www.ncbi.nlm.nih.gov/pubmed/36748982 http://dx.doi.org/10.1021/acsami.2c21096 |
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