Evidence map›Paper›PMID 39548117›Full record

ArticleNature communications2024

Reversible and controllable reduction in friction of atomically thin two-dimensional materials through high-stress pre-rubbing.

Haoyang Su, Honglin Zhang, Junhui Sun, Haojie Lang, Kun Zou, Yitian Peng

Abstract read
In one paragraph

Article in Nature communications, 2024. 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
–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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. Multiscale Simulation of Nanowear-Resistant Coatings.Materials (Basel, Switzerland) · 2025
    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.

Haoyang Su *College of Mechanical Engineering, Donghua University, Shanghai, 201620, China.ORCID http://orcid.org/0009-0001-3755-5494
Honglin Zhang *Tribology Research Institute, State Key Laboratory of Traction Power, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China.
Junhui Sun *Tribology Research Institute, State Key Laboratory of Traction Power, School of Mechanical Engineering, Southwest Jiaotong University, Chengdu, 610031, China.ORCID http://orcid.org/0000-0002-9701-1691
Haojie LangCollege of Mechanical Engineering, Donghua University, Shanghai, 201620, China.ORCID http://orcid.org/0000-0002-3836-1456
Kun ZouCollege of Mechanical Engineering, Donghua University, Shanghai, 201620, China.
Yitian PengCollege of Mechanical Engineering, Donghua University, Shanghai, 201620, China. yitianpeng@dhu.edu.cn.ORCID http://orcid.org/0000-0002-4951-4657

Funding

National Natural Science Foundation of China (National Science Foundation of China) 52075093National Natural Science Foundation of China (National Science Foundation of China) 52375172
6 · The paper itself

Abstract

Great efforts have been made to further reduce friction of atomically thin two-dimensional (2D) materials as solid lubricants due to their exceptional tribological properties and mechanical strength. In this work, the friction of atomically thin graphene is extensively and controllably reduced through pre-rubbing under high stress, resulting in a reduction of the friction coefficient by up to a factor of six compared to the pristine graphene. Also, this reduction can be reversed by reciprocating friction under moderate stress. Furthermore, high-stress pre-rubbing allows for patterning intentionally lubricating features on atomically thin graphene, such as nanometer-sized letters. This reduction in friction is attributed to the decreased sliding potential barrier yet increased contact stiffness, induced by the enhanced strength of graphene adhesion to the substrate due to interfacial charge transfer, as revealed by density functional theory (DFT) calculations. These findings present a practical methodology for optimizing and controlling the performance of 2D materials.

Identifiers

PMID39548117
PMCPMC11568223

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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.