The DOI matches its Crossref record.
Large area, high resolution, dry printing of conducting polymers for organic electronics
Abstract
We show here that thermal imaging, a nonlithographic technique which enables printing multiple, successive layers via a dry additive process can be used in combination with tailored printable conductors in the fabrication of organic electronic devices. This method is capable of patterning a range of organic materials at high speed over large areas with micron size resolution and excellent electrical performance avoiding the solvent compatibility issues currently faced by alternative techniques. Such a dry, potentially reel-to-reel printing method may provide a practical route to realizing the expected benefits of plastics for electronics. We illustrate the viability of thermal imaging and imageable organics conductors by printing a functioning, large area (4000 cm2) active matrix backplane display circuit containing several thousand transistors.
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
Cited by
Organic thin film transistors: From theory to real devices
Horowitz, G. (2004) · Journal of Materials Research · doi:10.1557/jmr.2004.0266 · Cited by 852
Micro- and Nanopatterning Techniques for Organic Electronic and Optoelectronic Systems
Menard, E., Meitl, M. A., Sun, Y., Park, J.-U., Shir, D. J.-L., Nam, Y.-S., Jeon, S., & Rogers, J. A. (2007) · Chemical Reviews · doi:10.1021/cr050139y · Cited by 658
Self-citationWen, Y., Liu, Y., Guo, Y., Yu, G., & Hu, W. (2011) · Chemical Reviews · doi:10.1021/cr1001904 · Cited by 258
Active Devices Based on Organic Semiconductors for Wearable Applications
Barbaro, M., Caboni, A., Cosseddu, P., Mattana, G., & Bonfiglio, A. (2010) · IEEE Transactions on Information Technology in Biomedicine · doi:10.1109/titb.2010.2044798 · Cited by 60
Metadata
- Authors
- Blanchet, G. B., Loo, Y.-L., Rogers, J. A., Gao, F., & Fincher, C. R.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 2003-01-20
- Volume
- 82
- Issue
- 3
- Pages
- 463-465
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W2157643620
- Cited by
- 257
- References
- 0
- FWCI
- 25.81
- 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: Large area, high resolution, dry printing of conducting polymers for organic electronics. https://app.cochat.ai/papers/10.1063/1.1533110
- The paper
- Blanchet, G. B., Loo, Y.-L., Rogers, J. A., Gao, F., & Fincher, C. R. (2003). Large area, high resolution, dry printing of conducting polymers for organic electronics. Applied Physics Letters. https://doi.org/10.1063/1.1533110
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.