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Cited by 562

The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.

Photoelectrochemical Tandem Cells for Solar Water Splitting

Open access
Prévot, Mathieu S., Sivula, Kevin·2013·The Journal of Physical Chemistry C

Abstract

In order to be economically competitive with simple “brute force” (i.e., PV + electrolyzer) strategies or the production of promising solar fuels, like H 2, from fossil fuels, a practical photoelectrochemical device must optimize cost, longevity, and performance. A promising approach that meets these requirements is the combination of stable and inexpensive oxide semiconductor electrodes in a tandem photoelectrochemical device. In this article, we give an overview of the field including an examination of the potential solar-to-fuel conversion efficiency expected in a device with realistic losses. We next discuss recent advances with increasing the performance of promising semiconductor electrode materials and highlight how these advances have led to state-of-the-art solar-to-chemical efficiencies in the 2–3% range in real devices. Challenges for further optimization are further outlined.

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Metadata

Authors
Prévot, M. S., & Sivula, K.
Venue
The Journal of Physical Chemistry C
Published
2013-07-26
Volume
117
Issue
35
Pages
17879-17893
ISSN
  • 1932-7447 (ISSN-L)
  • 1932-7455
OpenAlex
W1970524264
Cited by
562
References
4
FWCI
15.51
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Photoelectrochemical Tandem Cells for Solar Water Splitting. https://app.cochat.ai/papers/10.1021/jp405291g
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Prévot, M. S., & Sivula, K. (2013). Photoelectrochemical Tandem Cells for Solar Water Splitting. The Journal of Physical Chemistry C. https://doi.org/10.1021/jp405291g

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.