Evidence map›Paper›PMID 34723019›Full record

ArticleACS omega2021

Periodic Trends behind the Stability of Metal Catalysts Supported on Graphene with Graphitic Nitrogen Defects.

Vu Nguyen, Brian D Etz, Svitlana Pylypenko, Shubham Vyas

Open access · goldAbstract read
In one paragraph

Article in ACS omega, 2021. 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
0.5field-weighted citation impact, top 35% of its field
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, 7 citations in OpenAlex.

  1. Article
  2. Atomic Simulations of (8,0)CNT-Graphene by SCC-DFTB Algorithm.Nanomaterials (Basel, Switzerland) · 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

4 authors at 1 institution in 1 country.

Vu NguyenDepartment of Chemistry, Colorado School of Mines, 1012 14th Street, Golden, Colorado 80401, United States.
Brian D EtzDepartment of Chemistry, Colorado School of Mines, 1012 14th Street, Golden, Colorado 80401, United States.ORCID https://orcid.org/0000-0002-0855-4863
Svitlana PylypenkoDepartment of Chemistry, Colorado School of Mines, 1012 14th Street, Golden, Colorado 80401, United States.ORCID https://orcid.org/0000-0001-7982-734X
Shubham VyasDepartment of Chemistry, Colorado School of Mines, 1012 14th Street, Golden, Colorado 80401, United States.ORCID https://orcid.org/0000-0002-5849-8919
Colorado School of Mines · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study explored the fundamental chemical intricacies behind the interactions between metal catalysts and carbon supports with graphitic nitrogen defects. These interactions were probed by examining metal adsorption, specifically, the location of adsorption and the electronic structure of metal catalysts as the basis for the metal-support interactions (MSIs). A computational framework was developed, and a series of 12 transition metals was systematically studied over various graphene models with graphitic nitrogen defect(s). Different modeling approaches served to provide insights into previous MSI computational discrepancies, reviewing both truncated and periodic graphene models. The computational treatment affected the magnitudes of adsorption energies between the metals and support; however, metals generally followed the same trends in their MSI. It was found that the addition of the nitrogen dopant improved the MSI by promoting electronic rearrangement from the metals' d- to s-orbitals for greater orbital overlap with the carbon support, shown with increased favorable adsorption. Furthermore, the study observed periodic trends that were adept descriptors of the MSI fundamental chemistries.

Identifiers

PMID34723019
PMCPMC8552480
OpenAlexW3206682153

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.