Evidence map›Paper›PMID 31862936›Full record

ArticleScientific reports2019

Encoding kirigami bi-materials to morph on target in response to temperature.

Lu Liu, Chuan Qiao, Haichao An, Damiano Pasini

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. FromMaterials today. Bio · 2025
    Review
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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.

Lu LiuDepartment of Mechanical Engineering, McGill University, Macdonald Engineering Building, Room 372, 817 Sherbrooke Street West Montreal, Quebec, H3A 0C3, Canada.
Chuan QiaoDepartment of Mechanical Engineering, McGill University, Macdonald Engineering Building, Room 372, 817 Sherbrooke Street West Montreal, Quebec, H3A 0C3, Canada.
Haichao AnDepartment of Mechanical Engineering, McGill University, Macdonald Engineering Building, Room 372, 817 Sherbrooke Street West Montreal, Quebec, H3A 0C3, Canada.
Damiano PasiniDepartment of Mechanical Engineering, McGill University, Macdonald Engineering Building, Room 372, 817 Sherbrooke Street West Montreal, Quebec, H3A 0C3, Canada. damiano.pasini@mcgill.ca.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Shape morphing in response to an environmental stimulus, such as temperature, light, and chemical cues, is currently pursued in synthetic analogs for manifold applications in engineering, architecture, and beyond. Existing strategies mostly resort to active, namely smart or field responsive, materials, which undergo a change of their physical properties when subjected to an external stimulus. Their ability for shape morphing is intrinsic to the atomic/molecular structure as well as the mechanochemical interactions of their constituents. Programming shape changes with active materials require manipulation of their composition through chemical synthesis. Here, we demonstrate that a pair of off-the-shelf passive solids, such as wood and silicone rubber, can be topologically arranged in a kirigami bi-material to shape-morph on target in response to a temperature stimulus. A coherent framework is introduced to enable the optimal orchestration of bi-material units that can engage temperature to collectively deploy into a geometrically rich set of periodic and aperiodic shapes that can shape-match a predefined target. The results highlight reversible morphing by mechanics and geometry, thus contributing to relax the dependence of current strategies on material chemistry and fabrication.

Identifiers

PMID31862936
PMCPMC6925198

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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.