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  4. A polymer-semiconductor-ceramic cantilever for high-sensitivity fluidcompatible microelectromechanical systems
 
research article

A polymer-semiconductor-ceramic cantilever for high-sensitivity fluidcompatible microelectromechanical systems

Hosseini, Nahid  
•
Neuenschwander, Matthias  
•
Adams, Jonathan
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July 15, 2024
Nature Electronics

Active microelectromechanical systems (MEMS) with integrated electronic sensing and actuation can provide fast and sensitive measurements of force, acceleration and biological analytes. Strain sensors integrated onto MEMS cantilevers are widely used to transduce an applied force to an electrical signal in applications like atomic force microscopy and molecular detection. However, the high Young's moduli of traditional MEMS materials, such as silicon or silicon nitride, limit the thickness of the devices and, therefore, the deflection sensitivity that can be obtained for a specific spring constant. Here, we show that polymer materials with a low Young's modulus can be integrated into polymer-semiconductor-ceramic MEMS cantilevers that are thick and soft. We develop a multi-layer fabrication approach so that high-temperature processes can be used for the deposition and doping of piezoresistive semiconductor strain sensors without damaging the polymer layer. Our trilayer cantilever exhibits a sixfold reduction in force noise compared to a comparable self-sensing silicon cantilever. Furthermore, the strain-sensing electronics in our system are embedded between the polymer and ceramic layers, which makes the technology fluid-compatible.

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Type
research article
DOI
https://doi.org/10.1038/s41928-024-01195-z
Author(s)
Hosseini, Nahid  
•
Neuenschwander, Matthias  
•
Adams, Jonathan
•
Winhold, Marcel
•
Peric, Oliver  
•
Andany, Santiago  
•
Giordan, Maria
•
Shantar Bhat, Vinayak
•
Penedo Garcia, Marcos  
•
Grundler, Dirk  
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Date Issued

2024-07-15

Publisher

Springer Science and Business Media LLC

Published in
Nature Electronics
Volume

7

Issue

7

Start page

567

End page

575

Editorial or Peer reviewed

REVIEWED

Written at

EPFL

EPFL units
LBNI  
LMGN  
FunderFunding(s)Grant NumberGrant URL

European Research Council

ERC-2017-CoG

Swiss National Science Foundation

200021-182562

Swiss National Science Foundation

200020-213072

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RelationRelated workURL/DOI

IsSupplementedBy

[Dataset] Dataset and AMF images

https://doi.org/10.5281/zenodo.11198161

IsSupplementedBy

[Code] MATLAB codes to generate the plots

https://doi.org/10.5281/zenodo.11198348
Available on Infoscience
October 10, 2024
Use this identifier to reference this record
https://infoscience.epfl.ch/handle/20.500.14299/241555
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