Evidence map›Paper›PMID 40938998›Full record

ArticleScience advances2025

Autonomous codesign and fabrication of multistimuli-responsive material systems.

Liwei Wang, Alexander L Evenchik, Jared M Yang, Ryan L Truby, Wei Chen

Abstract read
In one paragraph

Article in Science advances, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. GELATO: multi-material topology optimization of programmable gel-elastomer structures.Structural and multidisciplinary optimization : journal of the International Society for Structural and Multidisciplinary Optimization · 2026
    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

5 authors.

Liwei WangDepartment of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.ORCID 0000-0002-2777-9718
Alexander L EvenchikDepartment of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0003-1364-1002
Jared M YangDepartment of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA.ORCID 0009-0002-7964-5364
Ryan L TrubyDepartment of Materials Science and Engineering, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0002-1313-6463
Wei ChenDepartment of Mechanical Engineering, Northwestern University, Evanston, IL 60208, USA.ORCID 0000-0002-4653-7124

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Responsive materials offer solutions to complex engineering challenges by enabling systems to adapt their shapes or properties in response to external stimuli. To fully harness the potential of responsive materials, inverse design methods that integrate multiple types of stimuli and manufacturing processes are necessary. We present a unified, autonomous codesign framework that simultaneously optimizes structure, manufacturing, materials, and stimuli for responsive material systems, achieving target shape morphing under multiple stimuli without relying on human heuristics or expertise. It integrates generalized topology optimization with hybrid data-physics differentiable simulations to achieve flexible, manufacturing-aware designs for network-like responsive material systems. We showcase our framework with a multimaterial three-dimensional printing process with high material tunability, which we use to fabricate liquid crystal elastomer systems that morph into different forms in response to heat and light. The exceptional flexibility and efficiency of our method will advance shape-morphing applications spanning soft robotics to drug delivery.

Identifiers

PMID40938998
PMCPMC12429022

What Socratic holds

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LicenceCC BY-NC
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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 Socratic graph.