Evidence map›Paper›PMID 33299189›Full record

ArticleNature2020

Capillary condensation under atomic-scale confinement.

Qian Yang, P Z Sun, L Fumagalli, Y V Stebunov, S J Haigh, Z W Zhou, I V Grigorieva, F C Wang, A K Geim

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 62 papers.

0numbers the graph read from it
0cells of the map it votes in
62citing 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

62 citing papers in PubMed.

  1. Article
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  6. A unified machine-learning framework for ab initio multiscale modeling of liquids.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  7. Review
  8. Article
  9. Article
  10. Article
  11. Review
  12. Review
  13. Article
  14. Article
  15. Article
  16. Aluminum speciation identification reveals water interactions in silicoaluminophosphate zeolites.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  17. Article
  18. Article
  19. Article
  20. Article

2 more citing papers are in PubMed but not listed here.

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.

Qian YangNational Graphene Institute, University of Manchester, Manchester, UK. qian.yang-2@manchester.ac.uk.ORCID http://orcid.org/0000-0002-6203-7867
P Z SunNational Graphene Institute, University of Manchester, Manchester, UK.
L FumagalliDepartment of Physics and Astronomy, University of Manchester, Manchester, UK.
Y V StebunovDepartment of Physics and Astronomy, University of Manchester, Manchester, UK.
S J HaighSchool of Materials, University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0001-5509-6706
Z W ZhouKey Laboratory of Advanced Technologies of Materials, School of Materials Science and Engineering, Southwest Jiaotong University, Chengdu, China.
I V GrigorievaNational Graphene Institute, University of Manchester, Manchester, UK.ORCID http://orcid.org/0000-0001-5991-7778
F C WangNational Graphene Institute, University of Manchester, Manchester, UK. wangfc@ustc.edu.cn.ORCID http://orcid.org/0000-0002-5954-3881
A K GeimNational Graphene Institute, University of Manchester, Manchester, UK. geim@manchester.ac.uk.ORCID http://orcid.org/0000-0003-2861-8331

Funding

European Research Council
6 · The paper itself

Abstract

Capillary condensation of water is ubiquitous in nature and technology. It routinely occurs in granular and porous media, can strongly alter such properties as adhesion, lubrication, friction and corrosion, and is important in many processes used by microelectronics, pharmaceutical, food and other industries

Identifiers

What OpenQuestion holds

Textmetadata
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.