Evidence map›Paper›PMID 38959303›Full record

ArticleScience advances2024

Economical routes to size-specific assembly of self-closing structures.

Thomas E Videbæk, Daichi Hayakawa, Gregory M Grason, Michael F Hagan, Seth Fraden, W Benjamin Rogers

Abstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. From toroids to helical tubules: Kirigami-inspired programmable assembly of two-periodic curved crystals from DNA origami.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  4. Article
  5. Article
  6. Measuring multisubunit mechanics of geometrically programmed colloidal assemblies via cryo-EM multi-body refinement.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. Designing the Self-Assembly of Disordered Materials Via Color Frustration.Advanced materials (Deerfield Beach, Fla.) · 2025
    Article
  10. Article
  11. 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

6 authors.

Thomas E VidebækMartin A. Fisher School of Physics, Brandeis University, Waltham, MA 02453, USA.ORCID 0000-0001-9158-2824
Daichi HayakawaMartin A. Fisher School of Physics, Brandeis University, Waltham, MA 02453, USA.ORCID 0000-0002-2783-5943
Gregory M GrasonDepartment of Polymer Science and Engineering, University of Massachusetts, Amherst, MA 01003, USA.ORCID 0000-0001-5479-9370
Michael F HaganMartin A. Fisher School of Physics, Brandeis University, Waltham, MA 02453, USA.ORCID 0000-0002-9211-2434
Seth FradenMartin A. Fisher School of Physics, Brandeis University, Waltham, MA 02453, USA.ORCID 0000-0002-2420-9939
W Benjamin RogersMartin A. Fisher School of Physics, Brandeis University, Waltham, MA 02453, USA.ORCID 0000-0001-8587-8215

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Programmable self-assembly has seen an explosion in the diversity of synthetic crystalline materials, but developing strategies that target "self-limiting" assemblies has remained a challenge. Among these, self-closing structures, in which the local curvature defines the finite global size, are prone to polymorphism due to thermal bending fluctuations, a problem that worsens with increasing target size. Here, we show that assembly complexity can be used to eliminate this source of polymorphism in the assembly of tubules. Using many distinct components, we prune the local density of off-target geometries, increasing the selectivity of the tubule width and helicity to nearly 100%. We further show that by reducing the design constraints to target either the pitch or the width alone, fewer components are needed to reach complete selectivity. Combining experiments with theory, we reveal an economical limit, which determines the minimum number of components required to create arbitrary assembly sizes with full selectivity.

Identifiers

PMID38959303
PMCPMC11221488

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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.