Evidence map›Paper›PMID 42580699›Full record

ReviewChemPlusChem2026

From Cages to Sheets: Computational Elucidation of Methylaluminoxane Structure and Reactivity.

Mikko Linnolahti, Perttu Hanhisalo, Aleksi Vähäkangas

Abstract readReview
In one paragraph

Review in ChemPlusChem, 2026. 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. Structure-Reactivity Relationships in Methylaluminoxane: Ionization Potentials Across Compositions and Morphologies.Chemphyschem : a European journal of chemical physics and physical chemistry · 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

3 authors.

Mikko LinnolahtiDepartment of Chemistry and Sustainable Technology, University of Eastern Finland, Joensuu, Finland.ORCID https://orcid.org/0000-0003-0056-2698
Perttu HanhisaloDepartment of Chemistry and Sustainable Technology, University of Eastern Finland, Joensuu, Finland.ORCID https://orcid.org/0009-0004-5955-3686
Aleksi VähäkangasDepartment of Chemistry and Sustainable Technology, University of Eastern Finland, Joensuu, Finland.ORCID https://orcid.org/0009-0004-4548-8385

Funding

Finnish Ministry of Education and Culture OKM/7/523/2024Research Council of Finland 357509
6 · The paper itself

Abstract

Methylaluminoxane (MAO) is the most widely used cocatalyst in single-site olefin polymerization, yet its molecular structures have decisively resisted characterization. Computational chemistry has played an indispensable role throughout the characterization efforts, from the earliest cage-based structural proposals inspired by tert-butylaluminoxane analogs through systematic hydrolysis-based modeling to the identification of two-dimensional sheet structures as the thermodynamically preferred motif. This review traces that computational journey, with particular attention to the methodological advances and failures that shaped it. The discovery that widely used density functional theory methods for MAO carry systematic errors for four-coordinate aluminum-oxygen environments, and that vibrational entropy rather than electronic energy is the decisive thermodynamic quantity in the experimentally relevant size domain, fundamentally redirected the field. The resulting ovalene-based sheet model for the dominant [(AlOMe)

Indexed as

cocatalyst activationcomputational chemistrydensity functional theorymethylaluminoxaneolefin polymerization

Identifiers

PMID42580699
PMCPMC13461273

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.