Evidence map›Paper›PMID 33257582›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Periodic training of creeping solids.

Daniel Hexner, Andrea J Liu, Sidney R Nagel

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Learning Epithelial Elasticity via Local Tension Remodeling.bioRxiv : the preprint server for biology · 2025
    Article
  2. Training and retraining liquid crystal elastomer metamaterials for pluripotent functionality.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  3. Article
  4. Article
  5. Transient learning degrees of freedom for introducing function in materials.Proceedings of the National Academy of Sciences of the United States of America · 2022
    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

3 authors.

Daniel HexnerDepartment of Physics, University of Chicago, Chicago, IL 60637; danielhe@me.technion.ac.il.ORCID 0000-0002-7241-0741
Andrea J LiuDepartment of Physics and Astronomy, University of Pennsylvania, Philadelphia, PA 19104.ORCID 0000-0002-2295-2729
Sidney R NagelDepartment of Physics, University of Chicago, Chicago, IL 60637.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We consider disordered solids in which the microscopic elements can deform plastically in response to stresses on them. We show that by driving the system periodically, this plasticity can be exploited to train in desired elastic properties, both in the global moduli and in local "allosteric" interactions. Periodic driving can couple an applied "source" strain to a "target" strain over a path in the energy landscape. This coupling allows control of the system's response, even at large strains well into the nonlinear regime, where it can be difficult to achieve control simply by design.

Indexed as

agingallosteryplasticityPoisson’s ratio

Identifiers

PMID33257582
PMCPMC7749283

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.