Evidence map›Paper›PMID 36739283›Full record

ArticleNature communications2023

Self-spinning filaments for autonomously linked microfibers.

Dylan M Barber, Todd Emrick, Gregory M Grason, Alfred J Crosby

Open access · goldAbstract read
In one paragraph

Article in Nature communications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
1.4field-weighted citation impact, top 22% of its field
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

1 citing paper in PubMed, 11 citations in OpenAlex.

  1. Sensing the shape of a surface by tightly surface-bound filaments.Proceedings of the National Academy of Sciences of the United States of America · 2025
    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 at 1 institution in 1 country.

Dylan M BarberPolymer Science and Engineering Department, University of Massachusetts Amherst, Amherst, MA, 01003-9263, USA.
Todd EmrickPolymer Science and Engineering Department, University of Massachusetts Amherst, Amherst, MA, 01003-9263, USA. tsemrick@mail.pse.umass.edu.ORCID http://orcid.org/0000-0003-0460-1797
Gregory M GrasonPolymer Science and Engineering Department, University of Massachusetts Amherst, Amherst, MA, 01003-9263, USA. grason@mail.pse.umass.edu.ORCID http://orcid.org/0000-0001-5479-9370
Alfred J CrosbyPolymer Science and Engineering Department, University of Massachusetts Amherst, Amherst, MA, 01003-9263, USA. acrosby@umass.edu.ORCID http://orcid.org/0000-0001-8850-8869
University of Massachusetts Amherst · US

Funding

National Science Foundation (NSF) NSF DMR 2028885United States Department of Defense | United States Army | U.S. Army Research, Development and Engineering Command | Army Research Laboratory (U.S. Army Research Laboratory) W911NF-15-1-0358
6 · The paper itself

Abstract

Filamentous bundles are ubiquitous in Nature, achieving highly adaptive functions and structural integrity from assembly of diverse mesoscale supramolecular elements. Engineering routes to synthetic, topologically integrated analogs demands precisely coordinated control of multiple filaments' shapes and positions, a major challenge when performed without complex machinery or labor-intensive processing. Here, we demonstrate a photocreasing design that encodes local curvature and twist into mesoscale polymer filaments, enabling their programmed transformation into target 3-dimensional geometries. Importantly, patterned photocreasing of filament arrays drives autonomous spinning to form linked filament bundles that are highly entangled and structurally robust. In individual filaments, photocreases unlock paths to arbitrary, 3-dimensional curves in space. Collectively, photocrease-mediated bundling establishes a transformative paradigm enabling smart, self-assembled mesostructures that mimic performance-differentiating structures in Nature (e.g., tendon and muscle fiber) and the macro-engineered world (e.g., rope).

Identifiers

PMID36739283
PMCPMC9899204
OpenAlexW4319225894

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.