Evidence map›Paper›PMID 19749765›Full record

ArticleNature materials2009

The effect of nanometre-scale structure on interfacial energy.

Jeffrey J Kuna, Kislon Voïtchovsky, Chetana Singh, Hao Jiang, Steve Mwenifumbo, Pradip K Ghorai, Molly M Stevens, Sharon C Glotzer, Francesco Stellacci

Abstract read
PubMed Publisher
In one paragraph

Article in Nature materials, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
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  5. Article
  6. Peptide-Enabled Targeted Delivery Systems for Therapeutic Applications.Frontiers in bioengineering and biotechnology · 2021
    Review
  7. Article
  8. Article
  9. Determination and evaluation of the nonadditivity in wetting of molecularly heterogeneous surfaces.Proceedings of the National Academy of Sciences of the United States of America · 2019
    Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Review
  18. Article
  19. Article
  20. 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

9 authors.

Jeffrey J KunaDepartment of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts, 02139-4307, USA.
Kislon Voïtchovsky
Chetana Singh
Hao Jiang
Steve Mwenifumbo
Pradip K Ghorai
Molly M Stevens
Sharon C Glotzer
Francesco Stellacci

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Natural surfaces are often structured with nanometre-scale domains, yet a framework providing a quantitative understanding of how nanostructure affects interfacial energy, gamma(SL), is lacking. Conventional continuum thermodynamics treats gamma(SL) solely as a function of average composition, ignoring structure. Here we show that, when a surface has domains commensurate in size with solvent molecules, gamma(SL) is determined not only by its average composition but also by a structural component that causes gamma(SL) to deviate from the continuum prediction by a substantial amount, as much as 20% in our system. By contrasting surfaces coated with either molecular- (<2 nm) or larger-scale domains (>5 nm), we find that whereas the latter surfaces have the expected linear dependence of gamma(SL) on surface composition, the former show a markedly different non-monotonic trend. Molecular dynamics simulations show how the organization of the solvent molecules at the interface is controlled by the nanostructured surface, which in turn appreciably modifies gamma(SL).

Indexed as

NanotechnologyNanoparticlesSurface PropertiesThermodynamics

Identifiers

PMID19749765

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.