Evidence map›Paper›PMID 38527196›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2024

Intelligent electroactive material systems with self-adaptive mechanical memory and sequential logic.

Charles El Helou, Lance P Hyatt, Philip R Buskohl, Ryan L Harne

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Rotary Electromechanical System Integrating Non-Reciprocal Memory and Combinational Logic.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
    Article
  6. Article
  7. Article
  8. A kinematically Bifurcated Metamaterial for Integrated Logic Operation and Computing.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  9. Article
  10. Optomechanical reservoir computing.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. 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.

Charles El Helou *Department of Mechanical Engineering, The Pennsylvania State University, University Park, PA 16802.
Lance P Hyatt *Department of Mechanical Engineering, The Pennsylvania State University, University Park, PA 16802.ORCID 0000-0002-1143-8003
Philip R BuskohlFunctional Materials Division, Materials and Manufacturing Directorate, Air Force Research Laboratory, Wright-Patterson AFB, OH 45433.
Ryan L HarneDepartment of Mechanical Engineering, The Pennsylvania State University, University Park, PA 16802.

Funding

DOD | USA | AFC | CCDC | Army Research Office (ARO) W911NF-23-1-0314DOD | USAF | AMC | Air Force Office of Scientific Research (AFOSR) n/a block grant to AFRLU.S. Air Force Research Lab Summer Faculty Fellowship n/a
6 · The paper itself

Abstract

By synthesizing the requisite functionalities of intelligence in an integrated material system, it may become possible to animate otherwise inanimate matter. A significant challenge in this vision is to continually sense, process, and memorize information in a decentralized way. Here, we introduce an approach that enables all such functionalities in a soft mechanical material system. By integrating nonvolatile memory with continuous processing, we develop a sequential logic-based material design framework. Soft, conductive networks interconnect with embedded electroactive actuators to enable self-adaptive behavior that facilitates autonomous toggling and counting. The design principles are scaled in processing complexity and memory capacity to develop a model 8-bit mechanical material that can solve linear algebraic equations based on analog mechanical inputs. The resulting material system operates continually to monitor the current mechanical configuration and to autonomously search for solutions within a desired error. The methods created in this work are a foundation for future synthetic general intelligence that can empower materials to autonomously react to diverse stimuli in their environment.

Indexed as

intelligent materialsmechanical computingmechanical material systems

Identifiers

PMID38527196
PMCPMC10998560

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.