Evidence map›Paper›PMID 41909142›Full record

ArticleACS physical chemistry Au2026

Phases and Architectures in Metal/Metal Oxide Systems Driven by Strong Metal-Support Interactions.

Jordi Morales-Vidal, Zan Lian, Thaylan Pinheiro Araújo, Sharon Mitchell, Javier Pérez-Ramírez, Núria López

Abstract read
In one paragraph

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

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0citing papers in PubMed
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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.

Jordi Morales-VidalInstitute of Chemical Research of Catalonia (ICIQ-CERCA), The Barcelona Institute of Science and Technology, Av. Països Catalans 16, Tarragona 43007, Spain.ORCID https://orcid.org/0000-0002-8725-5051
Zan LianInstitute of Chemical Research of Catalonia (ICIQ-CERCA), The Barcelona Institute of Science and Technology, Av. Països Catalans 16, Tarragona 43007, Spain.ORCID https://orcid.org/0000-0001-6922-406X
Thaylan Pinheiro AraújoInstitute of Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1, Zurich 8093, Switzerland.
Sharon MitchellInstitute of Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1, Zurich 8093, Switzerland.
Javier Pérez-RamírezInstitute of Chemical and Bioengineering, Department of Chemistry and Applied Biosciences, ETH Zurich, Vladimir-Prelog-Weg 1, Zurich 8093, Switzerland.ORCID https://orcid.org/0000-0002-5805-7355
Núria LópezInstitute of Chemical Research of Catalonia (ICIQ-CERCA), The Barcelona Institute of Science and Technology, Av. Països Catalans 16, Tarragona 43007, Spain.ORCID https://orcid.org/0000-0001-9150-5941

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metal oxide supported metal catalysts are widely applied in industrial processes. Many of these materials dynamically evolve under reducing atmospheres, leading to metal nanoparticles partially or fully encapsulated by metal oxide shells, impacting catalytic performance. This phenomenon is known as strong metal-support interaction (SMSI) and is thermodynamically driven. However, understanding the metal/metal oxide interfaces derived from the broad and flexible compositional space and the large structural changes in SMSI structures is difficult to monitor experimentally. Here, we use density functional theory together with machine learning interatomic potentials and global minima optimization to investigate SMSI by building a set of interfaces between common catalytic metals (Ni, Pd, Pt) and reducible metal oxides (r-TiO

Indexed as

Density functional theoryInterfacesMachine learning interatomic potentialsReducible metal oxidesStrong metal−support interactions

Identifiers

PMID41909142
PMCPMC13022790

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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.