The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Recent Developments in Polymer MEMS
Abstract
Polymer materials, including elastomers, plastics and fibers, are being actively used for MEMS sensors and actuators. Polymer materials provide many advantages in terms of cost, mechanical properties, and ease of processing. In addition, polymers are being investigated for displays, memory, and circuitry. However, the incorporation of polymers for structural or functional purposes in MEMS systems raises new issues and challenges. This article provides a comprehensive review of the recent state of the art of polymer based MEMS—including materials, fabrication processes, and representative devices, including microfluidic valves and tactile sensors. Frequently used materials are reviewed, including polydimethylsiloxane (PDMS), parylene, nanocomposite elastomers, and SU‐8 epoxy.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Polymer micromachined multimodal tactile sensors
Engel, J., Chen, J., Fan, Z., & Liu, C. (2005) · Sensors and Actuators A: Physical · doi:10.1016/j.sna.2004.05.037 · Cited by 224
Self-citation
Cited by
Bio-Integrated Wearable Systems: A Comprehensive Review
Ray, T. R., Choi, J., Bandodkar, A. J., Krishnan, S., Gutruf, P., Tian, L., Ghaffari, R., & Rogers, J. A. (2019) · Chemical Reviews · doi:10.1021/acs.chemrev.8b00573 · Cited by 1,350
Conductive polymer-based sensors for biomedical applications
Nambiar, S., & Yeow, J. T. W. (2011) · Biosensors and Bioelectronics · doi:10.1016/j.bios.2010.09.046 · Cited by 513
Guanxing, Z., Liu, Z., Deng, W., & Zhu, W. (2021) · Journal of Optics · doi:10.1088/2040-8986/abcc52 · Cited by 34
Integration of Biomaterials into Sensors Based on Organic Thin‐Film Transistors
Wu, X., Zhou, J., & Huang, J. (2018) · Macromolecular Rapid Communications · doi:10.1002/marc.201800084 · Cited by 28
Metadata
- Authors
- Liu, C.
- Venue
- Advanced Materials
- Publisher
- Wiley
- Published
- 2007-10-26
- Volume
- 19
- Issue
- 22
- Pages
- 3783-3790
- ISSN
- 0935-9648 (ISSN-L)
- 1521-4095
- OpenAlex
- W2014221868
- Cited by
- 422
- References
- 1
- FWCI
- 16.70
- Type
- journal article
- Language
- en
- Open access
- closed
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Recent Developments in Polymer MEMS. https://app.cochat.ai/papers/10.1002/adma.200701709
- The paper
- Liu, C. (2007). Recent Developments in Polymer MEMS. Advanced Materials. https://doi.org/10.1002/adma.200701709
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.