Evidence map›Paper›PMID 41560646›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026

Reprogrammable Phase-Transition Composites for Adaptive Dynamic Shape Morphing.

Yiding Zhong, Wei Tang, Xinyu Guo, Kecheng Qin, Pingan Zhu, Qincheng Sheng, Yonghao Wang, Huayong Yang, Jun Zou

Abstract read
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In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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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

9 authors.

Yiding ZhongState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0009-0004-1333-5907
Wei TangState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0002-2018-5474
Xinyu GuoState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Kecheng QinState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Pingan ZhuState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Qincheng ShengState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Yonghao WangState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Huayong YangState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China.
Jun ZouState Key Laboratory of Fluid Power and Mechatronic Systems, School of Mechanical Engineering, Zhejiang University, Hangzhou, China.ORCID https://orcid.org/0000-0003-2443-3516

Funding

China National Postdoctoral Program for Innovative Talents BX20250425China Postdoctoral Science Foundation 2025M781335International Cooperation Program of the Natural Science Foundation of China 52261135542National Natural Science Foundation of China 52305074Zhejiang Provincial Natural Science Foundation of China LZYQ25E050001
6 · The paper itself

Abstract

Adaptive dynamic deformation has attracted growing attention because of its great significance for robots to adapt to the environment. However, designing a flexible smart material with reprogrammable and local programmable regulation for adaptive dynamic deformation in robotic systems is a substantial challenge. In nature, phase transitions are used to shape biological tissues, modulate growth shape through stiffness changes and provide growth momentum through fluid pressure. Inspired by this, we report a reprogrammable phase-transition composites that uses the stiffness change induced by reversible solid-liquid phase transition to program and regulate the material deformation actuated by reversible liquid-vapor phase transition, thereby achieving adaptive dynamic deformation in a controllable manner. By regulating the order of the two phase transitions, phase-transition composites can achieve not only reprogrammable deformation and local programmable deformation, but also rapid deformation and shape locking. We have developed a series of functional enhancements and applications using phase-transition composites, demonstrating the effectiveness of the composite phase-transition programmed deformation modulation mechanism. This mechanism enables robots to achieve reversible active deformation modulation and reprogrammable deformation modulation, opening a door for robotic systems with adaptive dynamic deformation.

Indexed as

adaptive soft roboticsenergy storagephase‐transition compositesreprogrammable deformationshape locking

Identifiers

PMID41560646
PMCPMC13042661

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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.