Evidence map›Paper›PMID 37334697›Full record

ArticleACS applied materials & interfaces2023

Machine Learning-Driven Discovery of Key Descriptors for CO

B Moses Abraham, Oriol Piqué, Mohd Aamir Khan, Francesc Viñes, Francesc Illas, Jayant K Singh

Abstract read
In one paragraph

Article in ACS applied materials & interfaces, 2023. 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. Two-Dimensional MXenes for a Sustainable Future.Journal of the American Chemical Society · 2026
    Article
  2. Review
  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

6 authors.

B Moses AbrahamDepartment of Chemical Engineering, Indian Institute of Technology Kanpur, Kanpur 208016, India.ORCID 0000-0002-1867-5239
Oriol PiquéDepartament de Ciència de Materials i Química Física, Institut de Química Teòrica i Computacional (IQTCUB), Universitat de Barcelona, c/ Martí i Franquès 1-11, Barcelona 08028, Spain.ORCID 0000-0002-6995-5927
Mohd Aamir KhanDepartment of Chemical Engineering, Indian Institute of Technology Kanpur, Kanpur 208016, India.
Francesc ViñesDepartament de Ciència de Materials i Química Física, Institut de Química Teòrica i Computacional (IQTCUB), Universitat de Barcelona, c/ Martí i Franquès 1-11, Barcelona 08028, Spain.ORCID 0000-0001-9987-8654
Francesc IllasDepartament de Ciència de Materials i Química Física, Institut de Química Teòrica i Computacional (IQTCUB), Universitat de Barcelona, c/ Martí i Franquès 1-11, Barcelona 08028, Spain.ORCID 0000-0003-2104-6123
Jayant K SinghDepartment of Chemical Engineering, Indian Institute of Technology Kanpur, Kanpur 208016, India.ORCID 0000-0001-8056-2115

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fusing high-throughput quantum mechanical screening techniques with modern artificial intelligence strategies is among the most fundamental ─yet revolutionary─ science activities, capable of opening new horizons in catalyst discovery. Here, we apply this strategy to the process of finding appropriate key descriptors for CO

Indexed as

CO2 activationdensity functional calculationsdescriptorsmachine learningMXenes

Identifiers

PMID37334697
PMCPMC10316327

What OpenQuestion holds

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LicenceCC BY
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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.