Evidence map›Paper›PMID 36534795›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2022

Topological transformability and reprogrammability of multistable mechanical metamaterials.

Haning Xiu, Harry Liu, Andrea Poli, Guangchao Wan, Kai Sun, Ellen M Arruda, Xiaoming Mao, Zi Chen

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

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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

5 citing papers in PubMed.

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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

8 authors.

Haning XiuDivision of Thoracic and Cardiac Surgery, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115.ORCID 0000-0001-5570-5778
Harry LiuDepartment of Physics, University of Michigan, Ann Arbor, MI 48109.ORCID 0000-0002-3358-7931
Andrea PoliDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109.
Guangchao WanDepartment of Mechanical and Aerospace Engineering, Syracuse University, Syracuse, NY 13210.
Kai SunDepartment of Physics, University of Michigan, Ann Arbor, MI 48109.ORCID 0000-0001-9595-7646
Ellen M ArrudaDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI 48109.
Xiaoming MaoDepartment of Physics, University of Michigan, Ann Arbor, MI 48109.
Zi ChenDivision of Thoracic and Cardiac Surgery, Brigham and Women's Hospital and Harvard Medical School, Boston, MA 02115.ORCID 0000-0001-5927-0249

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Concepts from quantum topological states of matter have been extensively utilized in the past decade to create mechanical metamaterials with topologically protected features, such as one-way edge states and topologically polarized elasticity. Maxwell lattices represent a class of topological mechanical metamaterials that exhibit distinct robust mechanical properties at edges/interfaces when they are topologically polarized. Realizing topological phase transitions in these materials would enable on-and-off switching of these edge states, opening opportunities to program mechanical response and wave propagation. However, such transitions are extremely challenging to experimentally control in Maxwell topological metamaterials due to mechanical and geometric constraints. Here we create a Maxwell lattice with bistable units to implement synchronized transitions between topological states and demonstrate dramatically different stiffnesses as the lattice transforms between topological phases both theoretically and experimentally. By combining multistability with topological phase transitions, this metamaterial not only exhibits topologically protected mechanical properties that swiftly and reversibly change, but also offers a rich design space for innovating mechanical computing architectures and reprogrammable neuromorphic metamaterials. Moreover, we design and fabricate a topological Maxwell lattice using multimaterial 3D printing and demonstrate the potential for miniaturization via additive manufacturing. These design principles are applicable to transformable topological metamaterials for a variety of tasks such as switchable energy absorption, impact mitigation, wave tailoring, neuromorphic metamaterials, and controlled morphing systems.

Indexed as

CommercePrinting, Three-DimensionalElasticityMiniaturizationPhase Transition3D printingbistabilitymaxwell latticestiffness tuningtopological transformation

Identifiers

PMID36534795
PMCPMC9907076

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.