Evidence map›Paper›PMID 34997692›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Exploiting Molecular Dynamics in Composite Coatings to Design Robust Super-Repellent Surfaces.

Rui Guo, Eirini Goudeli, Wanjun Xu, Joseph J Richardson, Weijian Xu, Shuaijun Pan

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Exploiting Molecular Dynamics in Composite Coatings to Design Robust Super-Repellent Surfaces.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    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

6 authors.

Rui GuoState Key Laboratory of Chemo/Biosensing and Chemometrics, and College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China.ORCID 0000-0002-8627-5405
Eirini GoudeliDepartment of Chemical Engineering, The University of Melbourne, Parkville, Victoria, 3010, Australia.
Wanjun XuState Key Laboratory of Chemo/Biosensing and Chemometrics, and College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China.
Joseph J RichardsonDepartment of Materials Engineering, The University of Tokyo, 7-3-1 Hongo, Bunkyo, Tokyo, 113-8656, Japan.ORCID 0000-0001-8618-4127
Weijian XuDepartment of Chemical Engineering, The University of Melbourne, Parkville, Victoria, 3010, Australia.
Shuaijun PanState Key Laboratory of Chemo/Biosensing and Chemometrics, and College of Chemistry and Chemical Engineering, Hunan University, Changsha, 410082, China.ORCID 0000-0001-6370-2470

Funding

China Scholarship Council 201606130022Hunan Provincial Science and Technology Department 2018JJ3028Japan Society for the Promotion of Science 20F20373Japan Society for the Promotion of Science P20373National Natural Science Foundation of China 51703056
6 · The paper itself

Abstract

Fluorinated motifs are promising for the engineering of repellent coatings, however, a fundamental understanding of how to effectively bind these motifs to various substrates is required to improve their stability in different use scenarios. Herein, the binding of fluorinated polyhedral oligomeric silsesquioxanes (POSS) using a cyanoacrylate glue (binder) is computationally and experimentally evaluated. The composite POSS-binder coatings display ultralow surface energy (≈10 mJ m

Indexed as

droplet bouncingmolecular dynamics simulationspolymeric bindingrepellent coatingssurface engineering

Identifiers

PMID34997692
PMCPMC8867138

What OpenQuestion holds

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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.