Evidence map›Paper›PMID 31840054›Full record

ArticleScience advances2019

Fluorescence microscopy visualization of the roughness-induced transition between lubrication regimes.

Dina Petrova, Bart Weber, Cleménce Allain, Pierre Audebert, Cees H Venner, Albert M Brouwer, Daniel Bonn

Abstract read
In one paragraph

Article in Science advances, 2019. 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. Fluorescent Liquid Tetrazines.Molecules (Basel, Switzerland) · 2021
    Article
  5. Article
  6. 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

7 authors.

Dina PetrovaVan't Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands.ORCID 0000-0002-6682-0760
Bart WeberAdvanced Research Center for Nanolithography, Science Park 110, 1090 BA, Amsterdam, Netherlands.ORCID 0000-0003-4756-4666
Cleménce AllainPPSM, ENS Cachan, CNRS, Université Paris-Saclay, 94235 Cachan, France.ORCID 0000-0002-2908-264X
Pierre AudebertPPSM, ENS Cachan, CNRS, Université Paris-Saclay, 94235 Cachan, France.
Cees H VennerFaculty of Engineering Technology, University of Twente, Drienerlolaan 5, 7522 NB Enschede, Netherlands.
Albert M BrouwerVan't Hoff Institute for Molecular Sciences, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands.ORCID 0000-0002-1731-3869
Daniel BonnVan der Waals-Zeeman Institute, IoP, University of Amsterdam, Science Park 904, 1098 XH Amsterdam, Netherlands.ORCID 0000-0001-8925-1997

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We investigate the transition between different regimes of lubrication and directly observe the thickness of nanometric lubrication films with a sensitivity of a single molecular layer at a multi-asperity interface through fluorescence microscopy. We redefine specific film thickness as the ratio of the lubricant film thickness and the surface roughness measured only at those regions of the interface where the gap is "minimal." This novel definition of specific film thickness successfully captures the transition from full elastohydrodynamic lubrication to mixed and boundary lubrication. The transition can be triggered by increasing the surface roughness and is accurately predicted by using the new film thickness definition. We find that when the liquid carries part of the load, its apparent viscosity is greatly increased by confinement, and show how the transition between different lubrication regimes is well described by the viscosity increase and subsequent glass transition in the film.

Identifiers

PMID31840054
PMCPMC6897541

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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.