Evidence map›Paper›PMID 42161930›Full record

ArticleNature communications2026

Vibration-assisted fabrication of thin shells with spatially distributed imperfections.

Ilyes Krida, Jacob Tang, Leo Mangalath, Daniel Floryan, Tian Chen

Abstract read
In one paragraph

Article in Nature communications, 2026. 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
–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

1 citing paper in PubMed.

  1. 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

5 authors.

Ilyes KridaDepartment of Mechanical & Aerospace Engineering, University of Houston, Houston, TX, USA.
Jacob TangDepartment of Aerospace & Mechanical Engineering, University of Southern California, Los Angeles, CA, USA.
Leo MangalathDepartment of Mechanical & Aerospace Engineering, University of Houston, Houston, TX, USA.ORCID http://orcid.org/0009-0007-4669-9901
Daniel FloryanDepartment of Mechanical & Aerospace Engineering, University of Houston, Houston, TX, USA.ORCID http://orcid.org/0000-0002-6353-5075
Tian ChenDepartment of Mechanical & Aerospace Engineering, University of Houston, Houston, TX, USA. tian.chen@imperial.ac.uk.ORCID http://orcid.org/0000-0002-9100-7202

Funding

National Aeronautics and Space Administration (NASA) 80NSSC24M0178United States Department of Defense | United States Air Force | AFMC | Air Force Office of Scientific Research (AF Office of Scientific Research) FA9550-25-1-0173University of Houston (UH) 000187457
6 · The paper itself

Abstract

Thin-shell structures, found in biological systems such as beetle carapaces and widely used in aerospace and civil engineering, achieve remarkable strength-to-mass ratios given their slenderness and curved geometries. However, their load-bearing capacity is highly sensitive to geometric imperfections, which are often unavoidable during fabrication and can trigger subcritical buckling. Silicone-based hemispherical domes have served as an experimental surrogate to study this phenomenon, yet prior work has largely focused on localized imperfections, failing to capture the spatially distributed nature of real-world imperfection patterns. Here, we introduce a vibration-assisted method for fabricating thin shells with spatially distributed, mode-shaped imperfections. Silicone is cast onto a thick elastic mold excited by a speaker, and vibration-induced flow during curing creates thickness variations. High-speed imaging and destructive measurements reveal material accumulation at the antinodes of the mold's vibrational modes. The engineered imperfections can be tuned by excitation frequency and mold shape, while their amplitude increases with speaker volume. Buckling experiments demonstrate significant reductions in critical pressure, offering a scalable platform to study and tune imperfection-sensitivity. Beyond shell mechanics, this method enables patterning of soft materials for applications ranging from morphable surfaces to bioinspired design.

Identifiers

PMID42161930
PMCPMC13402623

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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.