Evidence map›Paper›PMID 36634141›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2023

A single parameter can predict surfactant impairment of superhydrophobic drag reduction.

Fernando Temprano-Coleto, Scott M Smith, François J Peaudecerf, Julien R Landel, Frédéric Gibou, Paolo Luzzatto-Fegiz

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.7field-weighted citation impact, top 11% of its field
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

3 citing papers in PubMed, 24 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
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 at 3 institutions in 3 countries.

Fernando Temprano-ColetoDepartment of Mechanical Engineering, University of California, Santa Barbara, CA 93106.ORCID 0000-0002-2179-3148
Scott M SmithDepartment of Mechanical Engineering, University of California, Santa Barbara, CA 93106.
François J PeaudecerfInstitute of Environmental Engineering, Department of Civil, Environmental and Geomatic Engineering, Eidgenössische Technische Hochschule (ETH) Zürich 8093, Zürich, Switzerland.ORCID 0000-0003-0295-4556
Julien R LandelDepartment of Mathematics, Alan Turing Building, University of Manchester, Manchester M13 9PL, United Kingdom.ORCID 0000-0003-3159-8749
Frédéric GibouDepartment of Mechanical Engineering, University of California, Santa Barbara, CA 93106.ORCID 0000-0001-7022-5262
Paolo Luzzatto-FegizDepartment of Mechanical Engineering, University of California, Santa Barbara, CA 93106.ORCID 0000-0003-3614-552X
University of California, Santa Barbara · USETH Zurich · CHUniversity of Manchester · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent experimental and computational investigations have shown that trace amounts of surfactants, unavoidable in practice, can critically impair the drag reduction of superhydrophobic surfaces (SHSs), by inducing Marangoni stresses at the air-liquid interface. However, predictive models for realistic SHS geometries do not yet exist, which has limited the understanding and mitigation of these adverse surfactant effects. To address this issue, we derive a model for laminar, three-dimensional flow over SHS gratings as a function of geometry and soluble surfactant properties, which together encompass 10 dimensionless groups. We establish that the grating length

Indexed as

Pulmonary SurfactantsSurface-Active AgentsHydrophobic and Hydrophilic InteractionsLipoproteinsMicrofluidicsLipoproteinsPulmonary SurfactantsSurface-Active Agentsdrag reductionMarangoni stressplastronsuperhydrophobic surfacesurfactant

Identifiers

PMID36634141
PMCPMC9934013
OpenAlexW4315709063

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.