The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Single-junction organic solar cells with over 19% efficiency enabled by a refined double-fibril network morphology
Open accessAbstract
In organic photovoltaics, morphological control of donor and acceptor domains on the nanoscale is the key for enabling efficient exciton diffusion and dissociation, carrier transport and suppression of recombination losses. To realize this, here, we demonstrated a double-fibril network based on a ternary donor–acceptor morphology with multi-length scales constructed by combining ancillary conjugated polymer crystallizers and a non-fullerene acceptor filament assembly. Using this approach, we achieved an average power conversion efficiency of 19.3% (certified 19.2%). The success lies in the good match between the photoelectric parameters and the morphological characteristic lengths, which utilizes the excitons and free charges efficiently. This strategy leads to an enhanced exciton diffusion length and a reduced recombination rate, hence minimizing photon-to-electron losses in the ternary devices as compared to their binary counterparts. The double-fibril network morphology strategy minimizes losses and maximizes the power output, offering the possibility of 20% power conversion efficiencies in single-junction organic photovoltaics. The morphology of donor–acceptor blends in organic photovoltaics dictates the efficiency of the exciton dissociation and charge diffusion, and thus the final device performance. Here, the authors show that filament assembly helps to maximize the output, further enabling a power conversion efficiency greater than 19%.
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
Conjugated Polymer-Based Organic Solar Cells
Günes, S., Neugebauer, H., & Sariciftci, N. S. (2007) · Chemical Reviews · doi:10.1021/cr050149z · Cited by 6,279
Self-Nucleation Effects on Polymer Crystallization
Sangroniz, L., Cavallo, D., & Müller, A. J. (2020) · Macromolecules · doi:10.1021/acs.macromol.0c00223 · Cited by 283
Cited by
Renewed Prospects for Organic Photovoltaics
Zhang, G., Lin, F. R., Qi, F., Heumüller, T., Distler, A., Egelhaaf, H.-J., Li, N., Chow, P. C. Y., Brabec, C. J., Jen, A. K.-Y., et al. (2022) · Chemical Reviews · doi:10.1021/acs.chemrev.1c00955 · Cited by 1,052
Guan, S., Li, Y., Xu, C., Yin, N., Xu, C., Wang, C., Wang, M., Xu, Y., Chen, Q., Wang, D., et al. (2024) · Advanced Materials · doi:10.1002/adma.202400342 · Cited by 650
Sun, S., Zha, W., Tian, C., Wei, Z., Luo, Q., Ma, C., Liu, W., & Zhu, X. (2023) · Advanced Materials · doi:10.1002/adma.202305092 · Cited by 67
A review on machine learning-guided design of energy materials
Kim, S., Xu, J., Shang, W., Xu, Z., Lee, E., & Luo, T. (2024) · Progress in Energy · doi:10.1088/2516-1083/ad7220 · Cited by 19
Self-citation
Metadata
- Authors
- Zhu, L., Zhang, M., Xu, J., Li, C., Yan, J., Zhou, G., Zhong, W., Hao, T., Song, J., Xue, X., Zhou, Z., Zeng, R., Zhu, H., Chen, C.-C., MacKenzie, R. C. I., Zou, Y., Nelson, J., Zhang, Y., Sun, Y., & Liu, F.
- Venue
- Nature Materials
- Published
- 2022-05-05
- Volume
- 21
- Issue
- 6
- Pages
- 656-663
- ISSN
- 1476-1122 (ISSN-L)
- 1476-4660
- OpenAlex
- W4229013424
- Cited by
- 2,432
- References
- 2
- FWCI
- 152.17
- 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.
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: Single-junction organic solar cells with over 19% efficiency enabled by a refined double-fibril network morphology. https://app.cochat.ai/papers/10.1038/s41563-022-01244-y
- The paper
- Zhu, L., Zhang, M., Xu, J., Li, C., Yan, J., Zhou, G., Zhong, W., Hao, T., Song, J., Xue, X., Zhou, Z., Zeng, R., Zhu, H., Chen, C.-C., MacKenzie, R. C. I., Zou, Y., Nelson, J., Zhang, Y., Sun, Y., & Liu, F. (2022). Single-junction organic solar cells with over 19% efficiency enabled by a refined double-fibril network morphology. Nature Materials. https://doi.org/10.1038/s41563-022-01244-y
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.