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Thin Film Piezoelectrics for MEMS
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Cited by
Neural Dust: An Ultrasonic, Low Power Solution for Chronic Brain-Machine Interfaces
Seo, D., Carmena, J. M., Rabaey, J. M., Alon, E., & Maharbiz, M. M. (2013) · arXiv · doi:10.48550/arxiv.1307.2196 · Cited by 172
Model validation of untethered, ultrasonic neural dust motes for cortical recording
Seo, D., Carmena, J. M., Rabaey, J. M., Maharbiz, M. M., & Alon, E. (2015) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2014.07.025 · Cited by 158
Birjis, Y., Swaminathan, S., Nazemi, H., Raj, G. C. A., Munirathinam, P., Abu-Libdeh, A., & Emadi, A. (2022) · Sensors · doi:10.3390/s22239151 · Cited by 84
Metadata
- Authors
- Trolier-McKinstry, S., & Muralt, P.
- Venue
- Journal of Electroceramics
- Published
- 2004-01
- Volume
- 12
- Issue
- 1-2
- Pages
- 7-17
- ISSN
- 1385-3449 (ISSN-L)
- 1573-8663
- OpenAlex
- W2018409502
- Cited by
- 1,023
- References
- 0
- FWCI
- 14.79
- Type
- journal article
- Language
- en
- Open access
- green
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Thin Film Piezoelectrics for MEMS. https://app.cochat.ai/papers/10.1023/b:jecr.0000033998.72845.51
- The paper
- Trolier-McKinstry, S., & Muralt, P. (2004). Thin Film Piezoelectrics for MEMS. Journal of Electroceramics. https://doi.org/10.1023/b%3Ajecr.0000033998.72845.51
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
