Evidence map›Paper›PMID 37870201›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2023

Cellular Automata Inspired Multistable Origami Metamaterials for Mechanical Learning.

Zuolin Liu, Hongbin Fang, Jian Xu, Kon-Well Wang

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
5.0field-weighted citation impact, top 4% of its field
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

10 citing papers in PubMed, 38 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Curved Bistable Origami-Inspired Flexible Transcatheter Mitral Valve Clamping.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  5. 3D-MOF-Lattice Inspired Programmable Metamaterials Based on Reconfigurable Polyhedral Origami.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. Review
  7. Article
  8. Article
  9. Bistable Soft Shells for Programmable Mechanical Logic.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  10. Cellular Automata Inspired Multistable Origami Metamaterials for Mechanical Learning.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    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 at 2 institutions in 2 countries.

Zuolin LiuInstitute of AI and Robotics, State Key Laboratory of Medical Neurobiology, MOE Engineering Research Center of AI & Robotics, Fudan University, Shanghai, 200433, China.
Hongbin FangInstitute of AI and Robotics, State Key Laboratory of Medical Neurobiology, MOE Engineering Research Center of AI & Robotics, Fudan University, Shanghai, 200433, China.ORCID https://orcid.org/0000-0001-6691-0531
Jian XuInstitute of AI and Robotics, State Key Laboratory of Medical Neurobiology, MOE Engineering Research Center of AI & Robotics, Fudan University, Shanghai, 200433, China.
Kon-Well WangDepartment of Mechanical Engineering, University of Michigan, Ann Arbor, MI, 48109, USA.ORCID https://orcid.org/0000-0002-9163-2614
Fudan University · CNUniversity of Michigan · US

Funding

China Postdoctoral Science Foundation 2021M700819China Postdoctoral Science Foundation 2021TQ0071National Key Research and Development Program of China 2020YFB1312900National Natural Science Foundation of China 11932015National Natural Science Foundation of China 12202104National Natural Science Foundation of China 12272096Shanghai Pilot Program for Basic Research - Fudan University 21TQ1400100-22TQ009University of Michigan Collegiate Professorship
6 · The paper itself

Abstract

Recent advances in multistable metamaterials reveal a link between structural configuration transition and Boolean logic, heralding a new generation of computationally capable intelligent materials. To enable higher-level computation, existing computational frameworks require the integration of large-scale networked logic gates, which places demanding requirements on the fabrication of materials counterparts and the propagation of signals. Inspired by cellular automata, a novel computational framework based on multistable origami metamaterials by incorporating reservoir computing is proposed, which can accomplish high-level computation tasks without the need to construct a logic gate network. This approach thus eliminates the demanding requirements for the fabrication of materials and signal propagation when constructing large-scale networks for high-level computation in conventional mechanical logic. Using the multistable stacked Miura-origami metamaterial as a validation platform, digit recognition is experimentally implemented by a single actuator. Moreover, complex tasks, such as handwriting recognition and 5-bit memory tasks, are also shown to be feasible with the new computation framework. The research represents a significant advancement in developing a new generation of intelligent materials with advanced computational capabilities. With continued research and development, these materials can have a transformative impact on a wide range of fields, from computational science to material mechano-intelligence technology and beyond.

Indexed as

image recognitionmechanical intelligencemechanical memorymechanical metamaterialsphysical computing

Identifiers

PMID37870201
PMCPMC10700163
OpenAlexW4387866487

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.