Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 221

The DOI matches its Crossref record.

Surface Passivation of GaN Nanowires for Enhanced Photoelectrochemical Water-Splitting

Varadhan, Purushothaman, Fu, Hui-Chun, Priante, Davide, Retamal, Jose Ramon Duran, Zhao, Chao, Ebaid, Mohamed, Ng, Tien Khee, Ajia, Idirs, Mitra, Somak, Roqan, Iman S., Ooi, Boon S., He, Jr-Hau·2017·Nano Letters

Abstract

Hydrogen production via photoelectrochemical water-splitting is a key source of clean and sustainable energy. The use of one-dimensional nanostructures as photoelectrodes is desirable for photoelectrochemical water-splitting applications due to the ultralarge surface areas, lateral carrier extraction schemes, and superior light-harvesting capabilities. However, the unavoidable surface states of nanostructured materials create additional charge carrier trapping centers and energy barriers at the semiconductor–electrolyte interface, which severely reduce the solar-to-hydrogen conversion efficiency. In this work, we address the issue of surface states in GaN nanowire photoelectrodes by employing a simple and low-cost surface treatment method, which utilizes an organic thiol compound (i.e., 1,2-ethanedithiol). The surface-treated photocathode showed an enhanced photocurrent density of −31 mA/cm 2 at −0.2 V versus RHE with an incident photon-to-current conversion efficiency of 18.3%, whereas untreated nanowires yielded only 8.1% efficiency. Furthermore, the surface passivation provides enhanced photoelectrochemical stability as surface-treated nanowires retained ∼80% of their initial photocurrent value and produced 8000 μmol of gas molecules over 55 h at acidic conditions (pH ∼ 0), whereas the untreated nanowires demonstrated only <4 h of photoelectrochemical stability. These findings shed new light on the importance of surface passivation of nanostructured photoelectrodes for photoelectrochemical applications.

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 · 10.1021/acs.nanolett.6b04559

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 221

Metadata

Authors
Varadhan, P., Fu, H.-C., Priante, D., Retamal, J. R. D., Zhao, C., Ebaid, M., Ng, T. K., Ajia, I., Mitra, S., Roqan, I. S., Ooi, B. S., & He, J.-H.
Venue
Nano Letters
Published
2017-02-14
Volume
17
Issue
3
Pages
1520-1528
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2586564874
Cited by
221
References
0
FWCI
6.97
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: Surface Passivation of GaN Nanowires for Enhanced Photoelectrochemical Water-Splitting. https://app.cochat.ai/papers/10.1021/acs.nanolett.6b04559
The paper
Varadhan, P., Fu, H.-C., Priante, D., Retamal, J. R. D., Zhao, C., Ebaid, M., Ng, T. K., Ajia, I., Mitra, S., Roqan, I. S., Ooi, B. S., & He, J.-H. (2017). Surface Passivation of GaN Nanowires for Enhanced Photoelectrochemical Water-Splitting. Nano Letters. https://doi.org/10.1021/acs.nanolett.6b04559

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.