Evidence map›Paper›PMID 41255720›Full record

ArticleACS catalysis2025

No Time for Nitrides: How Cobalt Alloying Promotes Iron Catalysts for Ammonia Decomposition.

Simone Perego, Maximilian Purcel, Yannick Baum, Shilong Chen, Astrid Sophie Müller, Michele Parrinello, Malte Behrens, Martin Muhler, Luigi Bonati

Abstract read
In one paragraph

Article in ACS catalysis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. The role of the NNature communications · 2026
    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

9 authors.

Simone PeregoAtomistic Simulations, Italian Institute of Technology, Genova 16163, Italy.ORCID https://orcid.org/0000-0003-4750-5324
Maximilian PurcelLaboratory of Industrial Chemistry, Ruhr University Bochum, Bochum 44780, Germany.
Yannick BaumInstitute of Inorganic Chemistry, Kiel University, Kiel 24118, Germany.
Shilong ChenInstitute of Inorganic Chemistry, Kiel University, Kiel 24118, Germany.ORCID https://orcid.org/0000-0002-2889-403X
Astrid Sophie MüllerLaboratory of Industrial Chemistry, Ruhr University Bochum, Bochum 44780, Germany.
Michele ParrinelloAtomistic Simulations, Italian Institute of Technology, Genova 16163, Italy.ORCID https://orcid.org/0000-0001-6550-3272
Malte BehrensInstitute of Inorganic Chemistry, Kiel University, Kiel 24118, Germany.ORCID https://orcid.org/0000-0003-3407-5011
Martin MuhlerLaboratory of Industrial Chemistry, Ruhr University Bochum, Bochum 44780, Germany.ORCID https://orcid.org/0000-0001-5343-6922
Luigi BonatiAtomistic Simulations, Italian Institute of Technology, Genova 16163, Italy.ORCID https://orcid.org/0000-0002-9118-6239

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The increasing demand for hydrogen production has driven interest in ammonia decomposition. Iron-based catalysts, widely used for ammonia synthesis, exhibit suboptimal performance in the reverse process due to their tendency to form iron nitrides. Recent experiments have shown that alloying iron with cobalt enhances the catalytic activity (Chen et al.,

Indexed as

alloyingammonia decompositionmachine learning potentialsmolecular dynamicsnitridation

Identifiers

PMID41255720
PMCPMC12622394

What OpenQuestion holds

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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.