Evidence map›Paper›PMID 28928147›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2017

Disconnecting structure and dynamics in glassy thin films.

Daniel M Sussman, Samuel S Schoenholz, Ekin D Cubuk, Andrea J Liu

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Information decomposition in complex systems via machine learning.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  4. Intermediate-range order governs dynamics in dense colloidal liquids.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  5. Article
  6. Correlation of plastic events with local structure in jammed packings across spatial dimensions.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
  7. Article
  8. Nature of dynamic gradients, glass formation, and collective effects in ultrathin freestanding films.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  9. Article
  10. Article
  11. Machine learning determination of atomic dynamics at grain boundaries.Proceedings of the National Academy of Sciences of the United States of America · 2018
    Article
  12. 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

4 authors.

Daniel M SussmanDepartment of Physics, Syracuse University, Syracuse, NY 13244; dmsussma@syr.edu.
Samuel S SchoenholzGoogle Brain, Google, Mountain View, CA 94043.ORCID 0000-0003-1909-9226
Ekin D CubukDepartment of Materials Science and Engineering, Stanford University, Stanford, CA 94304.
Andrea J LiuDepartment of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nanometrically thin glassy films depart strikingly from the behavior of their bulk counterparts. We investigate whether the dynamical differences between a bulk and thin film polymeric glass former can be understood by differences in local microscopic structure. Machine learning methods have shown that local structure can serve as the foundation for successful, predictive models of particle rearrangement dynamics in bulk systems. By contrast, in thin glassy films, we find that particles at the center of the film and those near the surface are structurally indistinguishable despite exhibiting very different dynamics. Next, we show that structure-independent processes, already present in bulk systems and demonstrably different from simple facilitated dynamics, are crucial for understanding glassy dynamics in thin films. Our analysis suggests a picture of glassy dynamics in which two dynamical processes coexist, with relative strengths that depend on the distance from an interface. One of these processes depends on local structure and is unchanged throughout most of the film, while the other is purely Arrhenius, does not depend on local structure, and is strongly enhanced near the free surface of a film.

Indexed as

glassmachine learningthin film

Identifiers

PMID28928147
PMCPMC5635874

What OpenQuestion holds

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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.