Evidence map›Paper›PMID 41925167›Full record

ArticleJournal of computational chemistry2026

Tackling Orientational Isomerism in Metal-Organic Frameworks Comprising Low-Symmetry Linker Molecules via Simulated Annealing Featuring a Neural Network Potential.

Benedikt E Hörfarter, Stefan Seiwald, Clemens Hofstötter, Armin Penz, Josef M Gallmetzer, Thomas S Hofer

Abstract read
In one paragraph

Article in Journal of computational chemistry, 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.

Benedikt E HörfarterInstitute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0009-0009-4783-2078
Stefan SeiwaldInstitute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0009-0009-4287-2839
Clemens HofstötterInstitute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0009-0001-6615-1149
Armin PenzInstitute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0009-0003-9702-1907
Josef M GallmetzerInstitute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0000-0002-4185-7831
Thomas S HoferInstitute of General, Inorganic and Theoretical Chemistry, University of Innsbruck, Innsbruck, Austria.ORCID https://orcid.org/0000-0002-6559-1513

Funding

Austrian Science Fund P35427
6 · The paper itself

Abstract

The perplexing structural diversity of metal-organic frameworks (MOFs) leads to astonishing unique properties and versatile potential technological applications of this porous materials class. However, whenever the organic linker molecules in a specific MOF compound may adopt multiple spatial orientations in-between the inorganic nodes they coordinate to, a near infinite number of possible MOF configurations arises through orientational isomerism. The latter is particularly challenging to account for in computational studies. In this work, we present a novel simulated annealing (SA) approach via Monte Carlo (MC) runs to gain insights into linker molecule orientations within such compounds, at the example of the three increasingly complex MOF systems MOF-5-OH, SNU-70 and UiO-66(Zr)-NH

Indexed as

linker‐related orientational isomerismmetal–organic frameworksMonte Carloneural network potentialsimulated annealing

Identifiers

PMID41925167
PMCPMC13045335

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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.