Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 1,469

The DOI matches its Crossref record.

Single‐Junction Organic Photovoltaic Cell with 19% Efficiency

Cui, Yong, Xu, Ye, Yao, Huifeng, Bi, Pengqing, Hong, Ling, Zhang, Jianqi, Zu, Yunfei, Zhang, Tao, Qin, Jinzhao, Ren, Junzhen, Chen, Zhihao, He, Chang, Hao, Xiaotao, Wei, Zhixiang, Hou, Jianhui·2021·Advanced Materials

Abstract

Improving power conversion efficiency (PCE) is important for broadening the applications of organic photovoltaic (OPV) cells. Here, a maximum PCE of 19.0% (certified value of 18.7%) is achieved in single‐junction OPV cells by combining material design with a ternary blending strategy. An active layer comprising a new wide‐bandgap polymer donor named PBQx‐TF and a new low‐bandgap non‐fullerene acceptor (NFA) named eC9‐2Cl is rationally designed. With optimized light utilization, the resulting binary cell exhibits a good PCE of 17.7%. An NFA F‐BTA3 is then added to the active layer as a third component to simultaneously improve the photovoltaic parameters. The improved light unitization, cascaded energy level alignment, and enhanced intermolecular packing result in open‐circuit voltage of 0.879 V, short‐circuit current density of 26.7 mA cm−2, and fill factor of 0.809. This study demonstrates that further improvement of PCEs of high‐performance OPV cells requires fine tuning of the electronic structures and morphologies of the active layers.

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.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1002/adma.202102420

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.

A few free checks a day · papers already verified open instantly · results are public

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

See all 1,469

Metadata

Authors
Cui, Y., Xu, Y., Yao, H., Bi, P., Hong, L., Zhang, J., Zu, Y., Zhang, T., Qin, J., Ren, J., Chen, Z., He, C., Hao, X., Wei, Z., & Hou, J.
Venue
Advanced Materials
Publisher
Wiley
Published
2021-08-31
Volume
33
Issue
41
Pages
e2102420-e2102420
ISSN
  • 0935-9648 (ISSN-L)
  • 1521-4095
OpenAlex
W3197814413
Cited by
1,469
References
0
FWCI
91.45
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: Single‐Junction Organic Photovoltaic Cell with 19% Efficiency. https://app.cochat.ai/papers/10.1002/adma.202102420
The paper
Cui, Y., Xu, Y., Yao, H., Bi, P., Hong, L., Zhang, J., Zu, Y., Zhang, T., Qin, J., Ren, J., Chen, Z., He, C., Hao, X., Wei, Z., & Hou, J. (2021). Single‐Junction Organic Photovoltaic Cell with 19% Efficiency. Advanced Materials. https://doi.org/10.1002/adma.202102420

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.