Evidence map›Paper›PMID 39022871›Full record

ReviewChemSusChem2025

Multiscale Modeling of CO

Reza Gholizadeh, Matic Pavlin, Matej Huš, Blaž Likozar

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in ChemSusChem, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Atomistic Insights into the Electrochemical Oxygen Evolution Activity of Hollandite IrOAdvanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  3. Article
  4. Multiscale Modeling of COChemSusChem · 2025
    Review
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.

Reza GholizadehDepartment of Catalysis and Chemical Reaction Engineering, National Institute of Chemistry, Hajdrihova 19, Ljubljana, SI-1000, Slovenia.ORCID https://orcid.org/0000-0001-5233-6380
Matic PavlinDepartment of Catalysis and Chemical Reaction Engineering, National Institute of Chemistry, Hajdrihova 19, Ljubljana, SI-1000, Slovenia.ORCID https://orcid.org/0000-0003-4354-3438
Matej HušDepartment of Catalysis and Chemical Reaction Engineering, National Institute of Chemistry, Hajdrihova 19, Ljubljana, SI-1000, Slovenia.ORCID https://orcid.org/0000-0002-8318-5121
Blaž LikozarDepartment of Catalysis and Chemical Reaction Engineering, National Institute of Chemistry, Hajdrihova 19, Ljubljana, SI-1000, Slovenia.ORCID https://orcid.org/0000-0001-7226-4302

Funding

H2020 Marie Skłodowska-Curie Actions 892003Javna Agencija za Raziskovalno Dejavnost RS I0-0039Javna Agencija za Raziskovalno Dejavnost RS J1-3020Javna Agencija za Raziskovalno Dejavnost RS J2-4424Javna Agencija za Raziskovalno Dejavnost RS J7-4638Javna Agencija za Raziskovalno Dejavnost RS N1-0303Javna Agencija za Raziskovalno Dejavnost RS P2-0152
6 · The paper itself

Abstract

Although CO

Indexed as

Computational fluid dynamicsKinetic Monte CarloMachine learningMolecular dynamicsMultiscale modeling

Identifiers

PMID39022871
PMCPMC11696222

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.