Evidence map›Paper›PMID 41196430›Full record

ArticleJournal of molecular modeling2025

Sustainable nanocomposite coatings for the protection of historic building surfaces: molecular simulation.

Jianjing Li

Abstract read
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In one paragraph

Article in Journal of molecular modeling, 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. Penetration resistance of g-CJournal of molecular modeling · 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

1 author.

Jianjing LiSchool of Architecture, Xiamen University Tan Kah Kee College, Zhangzhou, 363123, China. li6677882025@126.com.

Funding

Fujian Province Young and Middle-aged Teachers Education and Research Project JAT191082Zhangzhou City Philosophy and Social Sciences Research Planning Project LX24303004
6 · The paper itself

Abstract

contextThe advancement of novel anti-corrosion coatings is essential for the preservation and maintenance of stone materials in heritage structures. This research investigates the synergistic effects of graphene and polytetrafluoroethylene (PTFE) in enhancing the corrosion resistance of epoxy coatings. Molecular dynamics simulations were utilized to construct models of pure epoxy resin (PR), graphene-reinforced epoxy resin (G/PR), and epoxy resin co-modified with graphene and PTFE (G/PTFE/PR), with the aim of assessing their corrosion resistance and mechanical performance. Findings indicate that the incorporation of graphene and PTFE markedly reduced the porosity within the epoxy resin matrix. Furthermore, the diffusion coefficients of water molecules and epoxy resin molecules in the G/PTFE/PR system decreased by 47% and 52%, respectively. The formation of hydrogen bonds between oxygen atoms in water molecules and hydrogen atoms in epoxy resin molecules was found to impede water molecule diffusion. Mechanical analysis via stress-strain curves revealed that the modified epoxy resin exhibited superior tensile strength. These results offer valuable insights for the development of advanced anti-corrosion coatings applicable to the conservation of historic buildings.

methodsThe molecular dynamics simulation software LAMMPS was employed to investigate the penetration process of a corrosive solution. To ensure the accuracy of the results, the appropriate empirical force field for polymers, known as PCFF, was utilized.

Indexed as

Anticorrosive coatingDiffusion coefficientGrapheneHydrogen bondsPTFE

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.