Evidence map›Paper›PMID 35493699›Full record

ArticleThe journal of physical chemistry. C, Nanomaterials and interfaces2022

CO Adsorption and Disproportionation on Smooth and Defect-Rich Ir(111).

Xia Li, Thomas Haunold, Stefan Werkovits, Laurence D Marks, Peter Blaha, Günther Rupprechter

Abstract read
In one paragraph

Article in The journal of physical chemistry. C, Nanomaterials and interfaces, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Local Geometry, Structure and Electronic Resonances Enhancing the SFG Signal from CO on Ir Surfaces.The journal of physical chemistry. C, Nanomaterials and interfaces · 2025
    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

6 authors.

Xia LiInstitute of Materials Chemistry, Technische Universität Wien, 1060 Vienna, Austria.ORCID https://orcid.org/0000-0003-2504-239X
Thomas HaunoldInstitute of Materials Chemistry, Technische Universität Wien, 1060 Vienna, Austria.
Stefan WerkovitsInstitute of Materials Chemistry, Technische Universität Wien, 1060 Vienna, Austria.
Laurence D MarksDepartment of Materials Science and Engineering, Northwestern University, Evanston, Illinois 60208, United States.ORCID https://orcid.org/0000-0002-6659-2016
Peter BlahaInstitute of Materials Chemistry, Technische Universität Wien, 1060 Vienna, Austria.
Günther RupprechterInstitute of Materials Chemistry, Technische Universität Wien, 1060 Vienna, Austria.ORCID https://orcid.org/0000-0002-8040-1677

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

CO adsorption and dissociation on "perfect" and "defect-rich" Ir(111) surfaces were studied by a combination of surface-analytical techniques, including polarization-dependent (PPP and SSP) sum frequency generation (SFG) vibrational spectroscopy, low-energy electron diffraction (LEED), Auger electron spectroscopy, X-ray photoelectron spectroscopy (XPS), and density functional theory (DFT) calculations. CO was found to be ordered and tilted from the surface normal at high coverage on the "perfect" surface (e.g., θ = 30° at 0.70 ML), whereas it was less ordered and preferentially upright (θ = 4-10°) on the "defect-rich" surface for coverages of 0.55-0.70 ML. SFG, LEED, and XPS revealed that CO adsorption at low pressure/high temperature and high pressure/low temperature was reversible. In contrast, upon heating to ∼600 K in near mbar CO pressure, "perfect" and even more "defect-rich" Ir(111) surfaces were irreversibly modified by carbon deposits, which, according to DFT, result from CO disproportionation.

Identifiers

PMID35493699
PMCPMC9036526

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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.