Reprogrammable Phase‐Transition Composites for Adaptive Dynamic Shape Morphing
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.
Authors
- Kecheng Qin (ORCID: https://orcid.org/0009-0007-7277-0417)
- Xinyu Guo (ORCID: https://orcid.org/0009-0005-4147-2578)
- Pingan Zhu (ORCID: https://orcid.org/0000-0003-2645-3924)
- Yi Wang (ORCID: https://orcid.org/0000-0003-2455-2988)
- Qincheng Sheng
- Wei Tang
- Jun Zou
- Yiding Zhong
Institutions
- Zhejiang University (CN)
Publication Details
- Journal
- Advanced Science
- Published
- 2026-01-21
- DOI
- https://doi.org/10.1002/advs.202523219
- Primary Topic
- Advanced Materials and Mechanics
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Natural Science Foundation of China
- China Postdoctoral Science Foundation
- National Postdoctoral Program for Innovative Talents
- Natural Science Foundation of Zhejiang Province