Evidence map›Paper›PMID 41887195›Full record

ArticleChemSusChem2026

A Machine Learning-Guided Search of Cu-Based Bimetallic Alloys That Favor CO Dimerization in CO

Mattia Salomone, Wei Wang, Federico Raffone, Michele Re Fiorentin, Francesca Risplendi, Giancarlo Cicero

Abstract read
In one paragraph

Article in ChemSusChem, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Mattia SalomoneDepartment of Applied Science and Technology, Politecnico di Torino, Torino, Italy.ORCID https://orcid.org/0000-0002-2689-6138
Wei WangDepartment of Applied Science and Technology, Politecnico di Torino, Torino, Italy.
Federico RaffoneDepartment of Applied Science and Technology, Politecnico di Torino, Torino, Italy.
Michele Re FiorentinDepartment of Applied Science and Technology, Politecnico di Torino, Torino, Italy.ORCID https://orcid.org/0000-0002-1074-0411
Francesca RisplendiDepartment of Applied Science and Technology, Politecnico di Torino, Torino, Italy.ORCID https://orcid.org/0000-0002-1277-6733
Giancarlo CiceroDepartment of Applied Science and Technology, Politecnico di Torino, Torino, Italy.ORCID https://orcid.org/0000-0002-2920-9882

Funding

MSCA-DN Grant 101072830
6 · The paper itself

Abstract

The rational design of Cu-based bimetallic catalysts for the electrochemical reduction of CO

Indexed as

C2 productsCO2RRCu‐based catalystshigh throughput screeningmachine learning

Identifiers

PMID41887195
PMCPMC13021306

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.