Evidence map›Paper›PMID 41406038›Full record

ArticleACS applied materials & interfaces2025

Electrically Tunable Friction through Surface Adsorption Layer Restructuring.

Yun Zhao, Zhaoran Zhu, Jie Zhang, Erik Weiand, Chao Wang, James P Ewen, Daniele Dini, Hugh A Spikes, Janet S S Wong

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in ACS applied materials & interfaces, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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

9 authors.

Yun ZhaoDepartment of Mechanical Engineering, Imperial College London, London SW7 2AZ, U.K.
Zhaoran ZhuDepartment of Mechanical Engineering, Imperial College London, London SW7 2AZ, U.K.ORCID 0000-0001-7749-9995
Jie ZhangDepartment of Mechanical Engineering, Imperial College London, London SW7 2AZ, U.K.
Erik WeiandDepartment of Mechanical Engineering, Imperial College London, London SW7 2AZ, U.K.ORCID 0000-0003-1839-9817
Chao WangState Key Laboratory of Solid Lubrication, Lanzhou Institute of Chemical Physics, Chinese Academy of Sciences, Lanzhou 730000, China.ORCID 0000-0003-4097-3520
James P EwenDepartment of Mechanical Engineering, Imperial College London, London SW7 2AZ, U.K.ORCID 0000-0001-5110-6970
Daniele DiniDepartment of Mechanical Engineering, Imperial College London, London SW7 2AZ, U.K.ORCID 0000-0002-5518-499X
Hugh A SpikesDepartment of Mechanical Engineering, Imperial College London, London SW7 2AZ, U.K.
Janet S S WongDepartment of Mechanical Engineering, Imperial College London, London SW7 2AZ, U.K.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Electric-potential-controlled friction, which manipulates the frictional response of lubricants via an applied potential, offers the possibility of on-demand lubrication. Conventional understanding suggests that the applied potential influences the adsorption of surfactant ions on rubbing surfaces, thereby altering friction. This study investigates the effect of applied potential on the tribological behavior of sodium dodecyl sulfate (SDS) aqueous solutions in steel-steel contacts through experiments and molecular simulations. It is shown that SDS, as an anionic surfactant, readily forms hemicylindrical surface micelles due to electrostatic and hydrophobic interactions, achieving high coverage even at low concentrations. Consequently, the adsorbed Na

Indexed as

active tribologyadsorption layer restructuringaqueous lubricantcation and anion exchangeelectrically tunabletribotronics

Identifiers

PMID41406038
PMCPMC12766684

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Registered trials

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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.