Evidence map›Paper›PMID 41805832›Full record

ArticleNanoscale2026

Tunable icephobicity of surface-grown metal-organic frameworks with nanohierarchical texture.

Simrandeep Bahal, Jianhui Zhang, Vikramjeet Singh, Prasenjit Kabi, Abbas Heydari, Manish K Tiwari

Abstract read
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Article in Nanoscale, 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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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

6 authors.

Simrandeep BahalNanoengineered Systems Laboratory, UCL Mechanical Engineering, University College London, London, WC1E 7JE, UK. m.tiwari@ucl.ac.uk.ORCID http://orcid.org/0009-0005-3086-3127
Jianhui ZhangNanoengineered Systems Laboratory, UCL Mechanical Engineering, University College London, London, WC1E 7JE, UK. m.tiwari@ucl.ac.uk.ORCID http://orcid.org/0009-0002-1931-7836
Vikramjeet SinghManufacturing Futures Lab, UCL Mechanical Engineering, University College London, London, E20 2AE, UK.
Prasenjit KabiNanoengineered Systems Laboratory, UCL Mechanical Engineering, University College London, London, WC1E 7JE, UK. m.tiwari@ucl.ac.uk.
Abbas HeydariNanoengineered Systems Laboratory, UCL Mechanical Engineering, University College London, London, WC1E 7JE, UK. m.tiwari@ucl.ac.uk.ORCID http://orcid.org/0009-0007-7187-1064
Manish K TiwariNanoengineered Systems Laboratory, UCL Mechanical Engineering, University College London, London, WC1E 7JE, UK. m.tiwari@ucl.ac.uk.ORCID http://orcid.org/0000-0001-5143-6881

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Metal-organic frameworks (MOFs) have emerged as promising candidates for advanced surface treatments due to their inherent porosity, structural tunability, and functional versatility. Herein, we utilize these unique attributes of MOFs to systematically investigate their potential as passive icephobic surfaces, which is a critical requirement to mitigate ice accretion, which significantly impacts safety and performance across numerous technologies. Specifically, we elucidate how MOFs' pore size, surface morphology, and chemical functionality synergistically influence ice nucleation temperature and ice adhesion strength. Employing surface-grown MOFs (UiO-66, UiO-67 and MOF-5), we demonstrate that these coatings consistently lowered the median ice nucleation temperature by approximately 4-5 °C and reduced ice adhesion strength by up to two-thirds compared to bare glass. Through a combined approach involving classical heterogeneous nucleation theory and density functional theory simulations, we uncover that the key mechanism driving this icephobic performance is the nanoconfinement effect arising from sub-nanometre pores, which significantly elevates the energy barrier to ice nucleation and minimizes solid-ice contact through the void effect. Furthermore, we identify hydrophobic alkyl silane functionalisation as the most effective chemical strategy to enhance these icephobic properties. These findings provide critical insights into the structure-property relationships that govern icephobic performance, paving the way for the rational design of MOF-based anti-icing coatings for diverse technological applications.

Identifiers

PMID41805832
PMCPMC12974753

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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.