Evidence map›Paper›PMID 42090496›Full record

ArticleScience advances2026

Elastic rod origami (RodOri) for programming static and dynamic mechanical properties.

Sophie Leanza, Jeseung Lee, Lu Lu, Ruike Renee Zhao

Abstract read
In one paragraph

Article in Science advances, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Physics-Informed Neural Network-Enabled Forward Prediction and Inverse Design of Ring Origami.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  2. 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.

Sophie LeanzaDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-5066-7757
Jeseung LeeDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-3931-1274
Lu LuDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0001-6167-9158
Ruike Renee ZhaoDepartment of Mechanical Engineering, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-9292-5267

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Reconfigurable mechanical systems enable precise programmable control over structural properties, expanding opportunities in architected materials, adaptive devices, and multifunctional structures. Here, we introduce elastic rod origami (RodOri), a platform that exploits remarkably simple elements-prestressed, naturally curved rods-into a system with an extraordinary degree of multistability and configurational richness. For example, a single six-rod RodOri unit can easily access 11 distinct configurations, far exceeding the reconfigurability of conventional origami or general mechanical reconfigurable systems. Individual rods, constrained under clamped boundary conditions, undergo transitions between discrete morphologies whose strain energy and stiffness are precisely prescribed by their natural curvature. Assembling these rods into modular multirod architectures yields metamaterials with numerous stable configurations that can be selectively and reversibly programmed. This configurational diversity enables tunable static stiffness and nonlinear force response, thus enabling tunable dynamic behaviors such as vibration filtering, wave propagation switching, and mode conversion within a single, easily manufactured platform. By leveraging curvature-induced mechanical instability, RodOri unlocks highly programmable static and dynamic mechanical behavior, offering tailorable design strategies for reconfigurable structures, soft robotics, medical devices, and adaptive materials.

Identifiers

PMID42090496
PMCPMC13148307

What OpenQuestion holds

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LicenceCC BY-NC
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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.