Evidence map›Paper›PMID 36253119›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2022

Programming Multistable Metamaterials to Discover Latent Functionalities.

Hossein Mofatteh, Benyamin Shahryari, Armin Mirabolghasemi, Alireza Seyedkanani, Razieh Shirzadkhani, Gilles Desharnais, Abdolhamid Akbarzadeh

Abstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Exotic mechanical properties enabled by countersnapping instabilities.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  5. Bistable Soft Shells for Programmable Mechanical Logic.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  6. Review
  7. Article
  8. Article
  9. Article
  10. Dragonfly-Inspired Wing Design Enabled by Machine Learning and Maxwell's Reciprocal Diagrams.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  11. Programming Multistable Metamaterials to Discover Latent Functionalities.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2022
    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

7 authors.

Hossein MofattehDepartment of Bioresource Engineering, McGill University, Montreal, QC, H9X 3V9, Canada.ORCID 0000-0002-7619-736X
Benyamin ShahryariDepartment of Bioresource Engineering, McGill University, Montreal, QC, H9X 3V9, Canada.
Armin MirabolghasemiDepartment of Bioresource Engineering, McGill University, Montreal, QC, H9X 3V9, Canada.
Alireza SeyedkananiDepartment of Bioresource Engineering, McGill University, Montreal, QC, H9X 3V9, Canada.ORCID 0000-0003-0524-5309
Razieh ShirzadkhaniDepartment of Bioresource Engineering, McGill University, Montreal, QC, H9X 3V9, Canada.
Gilles DesharnaisAxis Prototypes, Montreal, QC, H1P 3C1, Canada.
Abdolhamid AkbarzadehDepartment of Bioresource Engineering, McGill University, Montreal, QC, H9X 3V9, Canada.ORCID 0000-0003-0097-0341

Funding

Canada Research ChairsNatural Sciences and Engineering Research Council of Canada CRDPJ 543334-19
6 · The paper itself

Abstract

Using multistable mechanical metamaterials to develop deployable structures, electrical devices, and mechanical memories raises two unanswered questions. First, can mechanical instability be programmed to design sensors and memory devices? Second, how can mechanical properties be tuned at the post-fabrication stage via external stimuli? Answering these questions requires a thorough understanding of the snapping sequences and variations of the elastic energy in multistable metamaterials. The mechanics of deformation sequences and continuous force/energy-displacement curves are comprehensively unveiled here. A 1D array, that is chain, of bistable cells is studied to explore instability-induced energy release and snapping sequences under one external mechanical stimulus. This method offers an insight into the programmability of multistable chains, which is exploited to fabricate a mechanical sensor/memory with sampling (analog to digital-A/D) and data reconstruction (digital to analog-D/A) functionalities operating based on the correlation between the deformation sequence and the mechanical input. The findings offer a new paradigm for developing programmable high-capacity read-write mechanical memories regardless of thei size scale. Furthermore, exotic mechanical properties can be tuned by harnessing the attained programmability of multistable chains. In this respect, a transversely multistable mechanical metamaterial with tensegrity-like bistable cells is designed to showcase the tunability of chirality.

Indexed as

continuous pathmechanical memory/sensormultistable chainprogrammable metamaterialtunable chiral metamaterial

Identifiers

PMID36253119
PMCPMC9685460

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.