The DOI matches its Crossref record.
4.2% efficient organic photovoltaic cells with low series resistances
Abstract
We demonstrate double-heterostructure copper phthalocyanine/C60 organic photovoltaic cells with series resistances as low as 0.1 Ω cm2. A high fill factor of ∼0.6 is achieved, which is only slightly reduced at very intense illumination. As a result, the power conversion efficiency increases with the incident optical power density, reaching a maximum of (4.2±0.2)% under 4–12 suns simulated AM1.5G illumination. The cell performance is accurately described employing an analysis based on conventional semiconductor p–n junction diodes. The dependence of the series resistance on the device area suggests the dominance of the bulk resistance of the indium-tin-oxide anode as a limiting factor in practical cell efficiencies.
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
Small Molecule Organic Semiconductors on the Move: Promises for Future Solar Energy Technology
Mishra, A., & Bäuerle, P. (2012) · Angewandte Chemie International Edition · doi:10.1002/anie.201102326 · Cited by 1,816
Charge Carrier Transporting Molecular Materials and Their Applications in Devices
Shirota, Y., & Kageyama, H. (2007) · Chemical Reviews · doi:10.1021/cr050143+ · Cited by 1,756
Small molecule semiconductors for high-efficiency organic photovoltaics
Lin, Y., Li, Y., & Zhan, X. (2012) · Chemical Society Reviews · doi:10.1039/c2cs15313k · Cited by 1,751
Flexible and Semitransparent Organic Solar Cells
Li, Y., Xu, G., Cui, C., & Li, Y. (2018) · Advanced Energy Materials · doi:10.1002/aenm.201701791 · Cited by 788
Roquet, S., Cravino, A., Leriche, P., Alévêque, O., Frère, P., & Roncali, J. (2006) · Journal of the American Chemical Society · doi:10.1021/ja058178e · Cited by 787
Metadata
- Authors
- Xue, J., Uchida, S., Rand, B. P., & Forrest, S. R.
- Venue
- Applied Physics Letters
- Publisher
- AIP Publishing
- Published
- 2004-04-19
- Volume
- 84
- Issue
- 16
- Pages
- 3013-3015
- ISSN
- 0003-6951 (ISSN-L)
- 1077-3118
- OpenAlex
- W2042189779
- Cited by
- 556
- References
- 0
- FWCI
- 37.93
- 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: 4.2% efficient organic photovoltaic cells with low series resistances. https://app.cochat.ai/papers/10.1063/1.1713036
- The paper
- Xue, J., Uchida, S., Rand, B. P., & Forrest, S. R. (2004). 4.2% efficient organic photovoltaic cells with low series resistances. Applied Physics Letters. https://doi.org/10.1063/1.1713036
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.