Extraction of Material Properties of A Thin Silicon Membrane Embedded in A Piezoelectric Stack

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Extraction of Material Properties of A Thin Silicon Membrane Embedded in A Piezoelectric Stack
Title:
Extraction of Material Properties of A Thin Silicon Membrane Embedded in A Piezoelectric Stack
Journal Title:
2023 IEEE International Ultrasonics Symposium (IUS)
Keywords:
Publication Date:
07 November 2023
Citation:
Ghosh, S., Ramegowda, P. C., Jian Goh, D., Sharma, J., Koh, Y., & Lee, J. E.-Y. (2023, September 3). Extraction of Material Properties of A Thin Silicon Membrane Embedded in A Piezoelectric Stack. 2023 IEEE International Ultrasonics Symposium (IUS). https://doi.org/10.1109/ius51837.2023.10306882
Abstract:
We propose the use of a thickness extensional (TE) mode in a piezoelectric-on-silicon resonator to accurately extract the elastic stiffness constant (c11) of a degenerately doped 2μm-thin silicon (Si) membrane with the piezoelectric stack in place. The frequency of this mode is discriminately sensitive to the Si membrane thickness and c11 of Si alone over the other layers in the stack. This presents a methodology to extract the properties of the elastic layer of a piezoelectrically transduced device with little influence from the other layers. The vertical stack of the TE mode resonator here is composed of 15% scandium doped aluminum nitride (ScAlN: ~0.3μm), molybdenum (~0.2μm) and thin passivation piezoelectric (~50nm) on the doped Si membrane formed by silicon migration. The methodology and test structure are validated by the close agreement of the extracted Young’s modulus to literature values. We use Si as a well-studied material to validate the method, demonstrating that the method could be extended to other materials.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the A*STAR - Nanosystems at the Edge (WP01)
Grant Reference no. : A18A4b0055
Description:
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISSN:
1948-5727
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