Evidence map›Paper›PMID 31311927›Full record

ArticleNature communications2019

Programmable graphene nanobubbles with three-fold symmetric pseudo-magnetic fields.

Pengfei Jia, Wenjing Chen, Jiabin Qiao, Miao Zhang, Xiaohu Zheng, Zhongying Xue, Rongda Liang, Chuanshan Tian, Lin He, Zengfeng Di and 1 more

Abstract read
In one paragraph

Article in Nature communications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

10 citing papers in PubMed.

  1. Review
  2. Developments in Nanopatterning of Graphene; Toward Direct Writing.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  3. Article
  4. Article
  5. Curvature geometry in 2D materials.National science review · 2023
    Review
  6. Article
  7. Article
  8. Article
  9. Review
  10. 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

11 authors.

Pengfei JiaState Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, China.ORCID http://orcid.org/0000-0002-2326-3431
Wenjing ChenThe Center for Advanced Quantum Studies, Department of Physics, Beijing Normal University, 100875, Beijing, China.
Jiabin QiaoThe Center for Advanced Quantum Studies, Department of Physics, Beijing Normal University, 100875, Beijing, China.
Miao ZhangState Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, China.
Xiaohu ZhengInternational Center for Quantum Materials, Peking University, 100871, Beijing, China.
Zhongying XueState Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, China.
Rongda LiangDepartment of Physics, State Key Laboratory of Surface Physics and Key Laboratory of Micro- and Nano-Photonic Structure (MOE), Fudan University, 200433, Shanghai, China.
Chuanshan TianDepartment of Physics, State Key Laboratory of Surface Physics and Key Laboratory of Micro- and Nano-Photonic Structure (MOE), Fudan University, 200433, Shanghai, China.
Lin HeThe Center for Advanced Quantum Studies, Department of Physics, Beijing Normal University, 100875, Beijing, China. helin@bnu.edu.cn.ORCID http://orcid.org/0000-0001-5251-1687
Zengfeng DiState Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, China. zfdi@mail.sim.ac.cn.
Xi WangState Key Laboratory of Functional Materials for Informatics, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, 200050, Shanghai, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Graphene nanobubbles (GNBs) have attracted much attention due to the ability to generate large pseudo-magnetic fields unattainable by ordinary laboratory magnets. However, GNBs are always randomly produced by the reported protocols, therefore, their size and location are difficult to manipulate, which restricts their potential applications. Here, using the functional atomic force microscopy (AFM), we demonstrate the ability to form programmable GNBs. The precision of AFM facilitates the location definition of GNBs, and their size and shape are tuned by the stimulus bias of AFM tip. With tuning the tip voltage, the bubble contour can gradually transit from parabolic to Gaussian profile. Moreover, the unique three-fold symmetric pseudo-magnetic field pattern with monotonous regularity, which is only theoretically predicted previously, is directly observed in the GNB with an approximately parabolic profile. Our study may provide an opportunity to study high magnetic field regimes with the designed periodicity in two dimensional materials.

Identifiers

PMID31311927
PMCPMC6635427

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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.