Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 200

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

Graphene–Perovskite Solar Cells Exceed 18 % Efficiency: A Stability Study

Open access
Agresti, Antonio, Pescetelli, Sara, Taheri, Babak, Del Rio Castillo, Antonio Esaù, Cinà, Lucio, Bonaccorso, Francesco, Di Carlo, Aldo·2016·ChemSusChem

Abstract

Interface engineering is performed by the addition of graphene and related 2 D materials (GRMs) into perovskite solar cells (PSCs), leading to improvements in the power conversion efficiency (PCE). By doping the mesoporous TiO 2 layer with graphene flakes (mTiO 2+G), produced by liquid‐phase exfoliation of pristine graphite, and by inserting graphene oxide (GO) as an interlayer between the perovskite and hole‐transport layers, using a two‐step deposition procedure in air, we achieved a PCE of 18.2 %. The obtained PCE value mainly results from improved charge‐carrier injection/collection with respect to conventional PSCs. Although the addition of GRMs does not influence the shelf life, it is beneficial for the stability of PSCs under several aging conditions. In particular, mTiO 2+G PSCs retain more than 88 % of the initial PCE after 16 h of prolonged 1 sun illumination at the maximum power point. Moreover, when subjected to prolonged heating at 60 °C, the GO‐based structures show enhanced stability with respect to mTiO 2+G PSCs, as a result of thermally induced modification at the mTiO 2+G/perovskite interface. The exploitation of GRMs in the form of dispersions and inks opens the way for scalable large‐area production, advancing the possible commercialization of PSCs.

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/cssc.201600942

Cites

1 of 1 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 1 references

Cited by

Metadata

Authors
Agresti, A., Pescetelli, S., Taheri, B., Del Rio Castillo, A. E., Cinà, L., Bonaccorso, F., & Di Carlo, A.
Venue
ChemSusChem
Publisher
Wiley
Published
2016-09-15
Volume
9
Issue
18
Pages
2609-2619
ISSN
  • 1864-5631 (ISSN-L)
  • 1864-564X
OpenAlex
W2519263829
Cited by
200
References
1
FWCI
12.65
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

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.