Evidence map›Paper›PMID 32596648›Full record

ArticleACS applied nano materials2018

Enhancing Graphene Protective Coatings by Hydrogen-Induced Chemical Bond Formation.

Line Kyhl, Richard Balog, Andrew Cassidy, Jakob Jørgensen, Antonija Grubisic-Čabo, Lena Trotochaud, Hendrik Bluhm, Liv Hornekær

Abstract read
In one paragraph

Article in ACS applied nano materials, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Article
  3. Graphene as an Adsorption Template for Studying Double Bond Activation in Catalysis.The journal of physical chemistry. C, Nanomaterials and interfaces · 2022
    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

8 authors.

Line KyhliNANO and Department of Physics and Astronomy, University of Aarhus, DK-8000 Aarhus C, Denmark.
Richard BalogiNANO and Department of Physics and Astronomy, University of Aarhus, DK-8000 Aarhus C, Denmark.
Andrew CassidyiNANO and Department of Physics and Astronomy, University of Aarhus, DK-8000 Aarhus C, Denmark.
Jakob JørgenseniNANO and Department of Physics and Astronomy, University of Aarhus, DK-8000 Aarhus C, Denmark.
Antonija Grubisic-ČaboiNANO and Department of Physics and Astronomy, University of Aarhus, DK-8000 Aarhus C, Denmark.
Lena TrotochaudChemical Sciences Division, Lawrence Berkeley National Lab, Berkeley, California 94720, United States.
Hendrik BluhmChemical Sciences Division, Lawrence Berkeley National Lab, Berkeley, California 94720, United States.
Liv HornekæriNANO and Department of Physics and Astronomy, University of Aarhus, DK-8000 Aarhus C, Denmark.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Increased interactions at the graphene-metal interface are here demonstrated to yield an effective prevention of intercalation of foreign species below the graphene cover. Hereby, an engineering pathway for increasing the usability of graphene as a metal coating is demonstrated. Graphene on Ir(111) (Gr/Ir(111)) is used as a model system, as it has previously been well-established that an increased interaction and formation of chemical bonds at the graphene-Ir interface can be induced by hydrogen functionalization of the graphene from its top side. With X-ray photoelectron spectroscopy, it is shown that hydrogen-induced increased interactions at the Gr/Ir(111) interface effectively prevents intercalation of CO in the millibar range. The scheme leads to protection against at least 10 times higher pressure and 70 times higher fluences of CO, compared to the protection offered by pristine Gr/Ir(111).

Identifiers

PMID32596648
PMCPMC7311049

What OpenQuestion holds

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Registered trials

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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.