Evidence map›Paper›PMID 39383223›Full record

ArticleScience advances2024

Dynamic sparse x-ray nanotomography reveals ionomer hydration mechanism in polymer electrolyte fuel-cell catalyst.

Zirui Gao, Christian Appel, Mirko Holler, Katharina Jeschonek, Kai Brunnengräber, Bastian J M Etzold, Michal Kronenberg, Marco Stampanoni, Johannes Ihli, Manuel Guizar-Sicairos

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Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Super Time-Resolved Tomography.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Zirui GaoPaul Scherrer Institut, 5232 Villigen PSI, Switzerland.ORCID 0000-0003-2498-0122
Christian AppelPaul Scherrer Institut, 5232 Villigen PSI, Switzerland.ORCID 0000-0002-6050-3836
Mirko HollerPaul Scherrer Institut, 5232 Villigen PSI, Switzerland.ORCID 0000-0001-8141-0148
Katharina JeschonekTechnical University of Darmstadt, 64287 Darmstadt, Germany.
Kai BrunnengräberTechnical University of Darmstadt, 64287 Darmstadt, Germany.ORCID 0000-0002-0318-1850
Bastian J M EtzoldTechnical University of Darmstadt, 64287 Darmstadt, Germany.ORCID 0000-0001-6530-4978
Michal KronenbergPaul Scherrer Institut, 5232 Villigen PSI, Switzerland.
Marco StampanoniPaul Scherrer Institut, 5232 Villigen PSI, Switzerland.ORCID 0000-0001-7486-6681
Johannes IhliPaul Scherrer Institut, 5232 Villigen PSI, Switzerland.ORCID 0000-0002-9541-5748
Manuel Guizar-SicairosPaul Scherrer Institut, 5232 Villigen PSI, Switzerland.ORCID 0000-0002-8293-3634

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tomographic imaging of time-evolving samples is a challenging yet important task for various research fields. At the nanoscale, current approaches face limitations of measurement speed or resolution due to lengthy acquisitions. We developed a dynamic nanotomography technique based on sparse dynamic imaging and 4D tomography modeling. We demonstrated the technique, using ptychographic x-ray computed tomography as its imaging modality, on resolving the in situ hydration process of polymer electrolyte fuel cell (PEFC) catalyst. The technique provides a 40-time increase in temporal resolution compared to conventional approaches, yielding 28 nm half-period spatial and 12 min temporal resolution. The results allow a quantitative characterization of the water intake process inside PEFC catalysts with nanoscale resolution, which is crucial for understanding their electrochemical mechanisms and optimizing their performance. Our technique enables high-speed operando nanotomography studies and paves the way for wider application of dynamic tomography at the nanoscale.

Identifiers

PMID39383223
PMCPMC11463282

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.