Evidence map›Paper›PMID 40911600›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2025

Origami frustration and its influence on energy landscapes of origami assemblies.

Shixi Zang, Tuo Zhao, Diego Misseroni, Glaucio H Paulino

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Shixi ZangDepartment of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544.ORCID 0009-0009-5069-5123
Tuo ZhaoDepartment of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544.ORCID 0000-0001-6004-8602
Diego MisseroniDepartment of Civil, Environmental and Mechanical Engineering, University of Trento, Trento 38122, Italy.ORCID 0000-0002-7375-671X
Glaucio H PaulinoDepartment of Civil and Environmental Engineering, Princeton University, Princeton, NJ 08544.ORCID 0000-0002-3493-6857

Funding

European Union ERC HE GA 101086644 S-FOAMNational Science Foundation (NSF) 2323276
6 · The paper itself

Abstract

Harnessing instabilities of multicomponent multistable structural assemblies can potentially lead to scalable and reversible functionalities, which can be enhanced by exploring frustration. For instance, standard Kresling origami cells exhibit nontunable intrinsic energy landscapes determined by their geometry and material properties, limiting their adaptability after fabrication. To overcome this limitation, we introduce frustration to enable fine-tuning of the energy landscape and resulting deformation states. By prestressing the Kresling cell by means of special springs with individual control, we induce either global or localized (i.e., crease level) frustration, which allows changing the energy barrier (cell or assembly). We investigate the mechanical behavior of frustrated Kresling assemblies, both theoretically and experimentally, under various loading and boundary conditions. Our findings reveal that changing the frustration state leads to precise control of folding sequences, enabling previously inaccessible folding paths. The proposed concept paves the way for applications in mechanical metamaterials and other fields requiring highly programmable and reconfigurable systems - e.g., prosthetic limbs.

Indexed as

energy landscapegeometrical frustrationKreslingorigami

Identifiers

PMID40911600
PMCPMC12435273

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.