Evidence map›Paper›PMID 40148512›Full record

ArticleScientific reports2025

Machine learning assisted Co

Azza A Al-Ghamdi, Abdul Sami, Salah M El-Bahy, Merfat M Alsabban, Wajid Sajjad, Ahlam I Al-Sulami, Muhammad Waseem Fazal, Reema H Aldahiri, Fatimah Mohammad H Al-Sulami, Muhammad Ali Khan and 1 more

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In one paragraph

Article in Scientific reports, 2025. 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

11 authors.

Azza A Al-GhamdiCollege of Science, Department of Chemistry, University of Jeddah, 21589, Jeddah, Saudi Arabia.
Abdul SamiInstitute of Chemical Sciences, Bahauddin Zakariya University (BZU), Multan, 60800, Pakistan.
Salah M El-BahyDepartment of Chemistry, Turabah University College, Taif University, P.O. Box 11099, 21944, Taif, Saudi Arabia.
Merfat M AlsabbanCollege of Science, Department of Chemistry, University of Jeddah, 21589, Jeddah, Saudi Arabia.
Wajid SajjadInstitute of Chemical Sciences, Bahauddin Zakariya University (BZU), Multan, 60800, Pakistan.
Ahlam I Al-SulamiCollege of Science, Department of Chemistry, University of Jeddah, 21589, Jeddah, Saudi Arabia. 04102237@uj.edu.sa.
Muhammad Waseem FazalInstitute of Chemical Sciences, Bahauddin Zakariya University (BZU), Multan, 60800, Pakistan.
Reema H AldahiriCollege of Science, Department of Chemistry, University of Jeddah, 21589, Jeddah, Saudi Arabia.
Fatimah Mohammad H Al-SulamiCollege of Science, Department of Chemistry, University of Jeddah, 21589, Jeddah, Saudi Arabia.
Muhammad Ali KhanInstitute of Chemical Sciences, Bahauddin Zakariya University (BZU), Multan, 60800, Pakistan. malikhan@bzu.edu.pk.
Naeem AkhtarInstitute of Chemical Sciences, Bahauddin Zakariya University (BZU), Multan, 60800, Pakistan. naeemakhtar@bzu.edu.pk.

Funding

Taif University, Saudi Arabia TU-DSPP-2024-20
6 · The paper itself

Abstract

Wide range of noble metal free bimetallic and trimetallic based electrocatalysts have been synthesized to develop efficient oxygen evolution reaction (OER) systems to-date, however, to determine which metal part of bimetallic and trimetallic electrocatalysts plays a significant role in controlling OER efficacy remains very challenging. To address this issue, herein we have employed machine learning (ML) for the first time to determine OER efficacy controlling metal element, thus leading to the development of an optimized bimetallic electrocatalyst. Briefly, we have designed a novel, simple ML optimized sustainable OER electrocatalyst based on Co

Indexed as

Co3O4/NiO popsicle sticksElectrospinningMachine learningOxygen evolution reactionRenewable energyWater splitting

Identifiers

PMID40148512
PMCPMC11950386

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.