Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 2,277

The DOI matches its Crossref record; 34 of the 34 references it cites were found in a registry or an index.

Exploration of the active center structure of nitrogen-doped graphene-based catalysts for oxygen reduction reaction

Lai, Linfei, Potts, Jeffrey R., Zhan, Da, Wang, Liang, Poh, Chee Kok, Tang, Chunhua, Gong, Hao, Shen, Zexiang, Lin, Jianyi, Ruoff, Rodney S.·2012·Energy & Environmental Science

Abstract

We present two different ways to fabricate nitrogen-doped graphene (N-graphene) and demonstrate its use as a metal-free catalyst to study the catalytic active center for the oxygen reduction reaction (ORR). N-graphene was produced by annealing of graphene oxide (G-O) under ammonia or by annealing of a N-containing polymer/reduced graphene oxide (RG-O) composite (polyaniline/RG-O or polypyrrole/RG-O). The effects of the N precursors and annealing temperature on the performance of the catalyst were investigated. The bonding state of the N atom was found to have a significant effect on the selectivity and catalytic activity for ORR. Annealing of G-O with ammonia preferentially formed graphitic N and pyridinic N centers, while annealing of polyaniline/RG-O and polypyrrole/RG-O tended to generate pyridinic and pyrrolic N moieties, respectively. Most importantly, the electrocatalytic activity of the catalyst was found to be dependent on the graphitic N content which determined the limiting current density, while the pyridinic N content improved the onset potential for ORR. However, the total N content in the graphene-based non-precious metal catalyst does not play an important role in the ORR process.

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 · 10.1039/c2ee21802j

Cites

34 of 34 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

Research works printed but not linked: 1

  1. Pattabi, 2001, Int. J. Hydrogen Energy, 26, 171, 10.1016/S0360-3199(00)00045-8 · DOI

Cited by

See all 2,277

Metadata

Authors
Lai, L., Potts, J. R., Zhan, D., Wang, L., Poh, C. K., Tang, C., Gong, H., Shen, Z., Lin, J., & Ruoff, R. S.
Venue
Energy & Environmental Science
Published
2012
Volume
5
Issue
7
Pages
7936
ISSN
  • 1754-5692 (ISSN-L)
  • 1754-5706
OpenAlex
W2091938741
Cited by
2,277
References
34
FWCI
47.37
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

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.