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Cited by 350

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

High performance perovskite solar cells by hybrid chemical vapor deposition

Open access
Leyden, Matthew R., Ono, Luis K., Raga, Sonia R., Kato, Yuichi, Wang, Shenghao, Qi, Yabing·2014·J. Mater. Chem. A

Abstract

Organometal halide based perovskites are promising materials for solar cell applications and are rapidly developing with current devices reaching ∼19% efficiency. In this work we introduce a new method of perovskite synthesis by hybrid chemical vapor deposition (HCVD), and demonstrate efficiencies as high as 11.8%. These cells were found to be stable with time, and retained almost the same efficiency after approximately 1100 h storage in dry N2 gas. This method is particularly attractive because of its ability to scale up to industrial levels and the ability to precisely control gas flow rate, temperature, and pressure with high reproducibility. This is the first demonstration of a perovskite solar cell using chemical vapor deposition and there is likely still room for significant optimization in efficiency.

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Crossref · 10.1039/c4ta04385e

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Metadata

Authors
Leyden, M. R., Ono, L. K., Raga, S. R., Kato, Y., Wang, S., & Qi, Y.
Venue
J. Mater. Chem. A
Published
2014
Volume
2
Issue
44
Pages
18742-18745
ISSN
  • 2050-7488 (ISSN-L)
  • 2050-7496
OpenAlex
W2138389980
Cited by
350
References
2
FWCI
17.51
Type
journal article
Language
en
Open access
hybrid

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CoChat. (2026). Citation check: High performance perovskite solar cells by hybrid chemical vapor deposition. https://app.cochat.ai/papers/10.1039/c4ta04385e
The paper
Leyden, M. R., Ono, L. K., Raga, S. R., Kato, Y., Wang, S., & Qi, Y. (2014). High performance perovskite solar cells by hybrid chemical vapor deposition. J. Mater. Chem. A. https://doi.org/10.1039/c4ta04385e

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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.