Evidence map›Paper›PMID 34476042›Full record

ArticleThe journal of physical chemistry. C, Nanomaterials and interfaces2021

X-ray Spectroscopy Fingerprints of Pristine and Functionalized Graphene.

Anja Aarva, Sami Sainio, Volker L Deringer, Miguel A Caro, Tomi Laurila

Abstract read
In one paragraph

Article in The journal of physical chemistry. C, Nanomaterials and interfaces, 2021. 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. Article
  2. Atomistic Interpretation of the Oxygen K-Edge X-ray Absorption Spectra of Layered Li-Ion Battery Cathode Materials.Chemistry of materials : a publication of the American Chemical Society · 2024
    Article
  3. 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

5 authors.

Anja AarvaDepartment of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland.ORCID https://orcid.org/0000-0002-0207-3145
Sami SainioStanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory, Menlo Park, California 94025, United States.ORCID https://orcid.org/0000-0002-9268-0124
Volker L DeringerDepartment of Chemistry, Inorganic Chemistry Laboratory, University of Oxford, Oxford OX1 3QR, U.K.ORCID https://orcid.org/0000-0001-6873-0278
Miguel A CaroDepartment of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland.ORCID https://orcid.org/0000-0001-9304-4261
Tomi LaurilaDepartment of Electrical Engineering and Automation, School of Electrical Engineering, Aalto University, 02150 Espoo, Finland.ORCID https://orcid.org/0000-0002-1252-8764

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In this work, we demonstrate how to identify and characterize the atomic structure of pristine and functionalized graphene materials from a combination of computational simulation of X-ray spectra, on the one hand, and computer-aided interpretation of experimental spectra, on the other. Despite the enormous scientific and industrial interest, the precise structure of these 2D materials remains under debate. As we show in this study, a wide range of model structures from pristine to heavily oxidized graphene can be studied and understood with the same approach. We move systematically from pristine to highly oxidized and defective computational models, and we compare the simulation results with experimental data. Comparison with experiments is valuable also the other way around; this method allows us to verify that the simulated models are close to the real samples, which in turn makes simulated structures amenable to several computational experiments. Our results provide

Identifiers

PMID34476042
PMCPMC8404192

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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.