EconPapers    
Economics at your fingertips  
 

Bioinspired hydrophobic pseudo-hydrogel for programmable shape-morphing

Zhigang Wang, Haotian Hu, Zefan Chai, Yuhang Hu, Siyuan Wang, Cheng Zhang, Chunjie Yan, Jun Wang, Wesley Coll, Tony Jun Huang, Xianchen Xu () and Heng Deng ()
Additional contact information
Zhigang Wang: China University of Geosciences
Haotian Hu: Northwestern Polytechnical University
Zefan Chai: China University of Geosciences
Yuhang Hu: China University of Geosciences
Siyuan Wang: Nanjing Agricultural University
Cheng Zhang: Nanjing Agricultural University
Chunjie Yan: China University of Geosciences
Jun Wang: Northwestern Polytechnical University
Wesley Coll: Duke University
Tony Jun Huang: Duke University
Xianchen Xu: Duke University
Heng Deng: China University of Geosciences

Nature Communications, 2025, vol. 16, issue 1, 1-11

Abstract: Abstract Inspired by counterintuitive water “swelling” ability of the hydrophobic moss of the genus Sphagnum (Peat moss), we prepared a hydrophobic pseudo-hydrogel (HPH), composed of a pure hydrophobic silicone elastomer with a tailored porous structure. In contrast to conventional hydrogels, HPH achieves absorption-induced volume expansion through surface tension induced elastocapillarity, presenting an unexpected absorption-induced volume expansion capability in hydrophobic matrices. We adopt a theoretical framework elucidating the interplay of surface tension induced elastocapillarity, providing insights into the absorption-induced volume expansion behavior. By systematically programming the pore structure, we demonstrate tunable, anisotropic, and programmable absorption-induced expansion. This leads to dedicated self-shaping transformations. Incorporating magnetic particles, we engineer HPH-based soft robots capable of swimming, rolling, and walking. This study demonstrates a unusual approach to achieve water-responsive behavior in hydrophobic materials, expanding the possibilities for programmable shape-morphing in soft materials and soft robotic applications.

Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-025-56291-1 Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56291-1

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-025-56291-1

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-03-19
Handle: RePEc:nat:natcom:v:16:y:2025:i:1:d:10.1038_s41467-025-56291-1