Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 630

The DOI matches its Crossref record; 175 of the 175 references it cites were found in a registry or an index.

Morphology Control in Organic Solar Cells

Zhao, Fuwen, Wang, Chunru, Zhan, Xiaowei·2018·Advanced Energy Materials

Abstract

Organic solar cells (OSCs) can directly convert the sunlight into electrical energy and present some advantages, such as low cost, light weight, flexibility, semitransparency, and roll‐to‐roll large‐area fabrication. Due to the short diffusion length of exciton (≈10 nm) in organic semiconductor materials, the ideal nanoscale phase separation in the active layer is one of the crucial factors for achieving efficient exciton dissociation and charge transport. The morphology of the active layer is mainly determined by the nature of donors and acceptors (e.g., solubility, crystallinity, and miscibility), the film processing, the device configuration, and so on. In general, it is very hard to obtain ideal morphology in the as‐cast films. Therefore, it is usually essential to take measures to achieve the active layer with good molecular stacking, proper domain size, high domain purity, and suitable vertical phase separation. In this review, recent developments in morphology control and morphology characterization are summarized and analyzed. This review might help the community to decipher active layer morphology at multiple length scales and to achieve ideal morphology toward high‐performance OSCs.

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/aenm.201703147

Cites

175 of 175 references verified0 citation errors · 0 not checkable

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

Cites

Show all 175 references

Cited by

See all 630

Metadata

Authors
Zhao, F., Wang, C., & Zhan, X.
Venue
Advanced Energy Materials
Publisher
Wiley
Published
2018-03-13
Volume
8
Issue
28
ISSN
  • 1614-6832 (ISSN-L)
  • 1614-6840
OpenAlex
W2792272594
Cited by
630
References
175
FWCI
22.96
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: Morphology Control in Organic Solar Cells. https://app.cochat.ai/papers/10.1002/aenm.201703147
The paper
Zhao, F., Wang, C., & Zhan, X. (2018). Morphology Control in Organic Solar Cells. Advanced Energy Materials. https://doi.org/10.1002/aenm.201703147

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.