Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 173

The DOI matches its Crossref record; 8 of the 8 references it cites were found in a registry or an index.

Atomic-Resolution Spectroscopic Imaging of Ensembles of Nanocatalyst Particles Across the Life of a Fuel Cell

Open access
Xin, Huolin L., Mundy, Julia A., Liu, Zhongyi, Cabezas, Randi, Hovden, Robert, Kourkoutis, Lena Fitting, Zhang, Junliang, Subramanian, Nalini P., Makharia, Rohit, Wagner, Frederick T., Muller, David A.·2012·Nano Letters

Abstract

The thousand-fold increase in data-collection speed enabled by aberration-corrected optics allows us to overcome an electron microscopy paradox: how to obtain atomic-resolution chemical structure in individual nanoparticles yet record a statistically significant sample from an inhomogeneous population. This allowed us to map hundreds of Pt-Co nanoparticles to show atomic-scale elemental distributions across different stages of the catalyst aging in a proton-exchange-membrane fuel cell, and relate Pt-shell thickness to treatment, particle size, surface orientation, and ordering.

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/nl203975u

Cites

8 of 8 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 8 references

Cited by

See all 173

Metadata

Authors
Xin, H. L., Mundy, J. A., Liu, Z., Cabezas, R., Hovden, R., Kourkoutis, L. F., Zhang, J., Subramanian, N. P., Makharia, R., Wagner, F. T., & Muller, D. A.
Venue
Nano Letters
Published
2011-12-07
Volume
12
Issue
1
Pages
490-497
ISSN
  • 1530-6984 (ISSN-L)
  • 1530-6992
OpenAlex
W2022410126
Cited by
173
References
8
FWCI
12.51
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

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Atomic-Resolution Spectroscopic Imaging of Ensembles of Nanocatalyst Particles Across the Life of a Fuel Cell. https://app.cochat.ai/papers/10.1021/nl203975u
The paper
Xin, H. L., Mundy, J. A., Liu, Z., Cabezas, R., Hovden, R., Kourkoutis, L. F., Zhang, J., Subramanian, N. P., Makharia, R., Wagner, F. T., & Muller, D. A. (2012). Atomic-Resolution Spectroscopic Imaging of Ensembles of Nanocatalyst Particles Across the Life of a Fuel Cell. Nano Letters. https://doi.org/10.1021/nl203975u

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.