File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)

Article: Investment micro-casting 3D-printed multi-metamaterial for programmable multimodal biomimetic electronics

TitleInvestment micro-casting 3D-printed multi-metamaterial for programmable multimodal biomimetic electronics
Authors
Keywords3D printing
biomimetic electronics
DTI-2: Explore
metamaterial
multimodal sensing
photopolymerization
piezoelectric material
Issue Date9-Jan-2025
PublisherElsevier
Citation
Device, 2025 How to Cite?
Abstract

Biometric electronics have gained considerable attention in self-sensing, three-dimensional (3D) designs, mechanical drive, and multi-function integration. By leveraging these anisotropic capabilities into devices, metamaterial offers a promising pathway to exciting performance-oriented units. However, such distinctive mismatches in forming processes and inherent material properties are severely restricted in achieving cross-scaled microstructures, causing compatibility issues among well-defined bio-functions and fabrication. Herein, we propose an investment micro-casting 3D printing strategy for custom-molding multi-metamaterials without process barriers. This approach handles the bottlenecks of the hierarchical template replacement in ultra-hydrophobicity microchannels for the free assembly of more than 20 types of challenging-to-form materials. A series of piezoelectric metamaterials are programmed with broadband ranges, imitating nerve distribution that has human-feel touch, bending, and recognition. Our work benefits the stiffness self-perception in dynamic grabbing manipulation, broadening the application of multimodal electronics in bio-embodied robots.


Persistent Identifierhttp://hdl.handle.net/10722/355116

 

DC FieldValueLanguage
dc.contributor.authorWang, Chunjiang-
dc.contributor.authorChen, Xiaoming-
dc.contributor.authorSong, Qihang-
dc.contributor.authorShi, Jianxu-
dc.contributor.authorLei, Mengyong-
dc.contributor.authorMa, Duo-
dc.contributor.authorLi, Xiangming-
dc.contributor.authorChen, Xiaoliang-
dc.contributor.authorTian, Hongmiao-
dc.contributor.authorWang, Chunhui-
dc.contributor.authorZhang, Jie-
dc.contributor.authorLu, Yang-
dc.contributor.authorShao, Jinyou-
dc.date.accessioned2025-03-27T00:35:32Z-
dc.date.available2025-03-27T00:35:32Z-
dc.date.issued2025-01-09-
dc.identifier.citationDevice, 2025-
dc.identifier.urihttp://hdl.handle.net/10722/355116-
dc.description.abstract<p>Biometric electronics have gained considerable attention in self-sensing, three-dimensional (3D) designs, mechanical drive, and multi-function integration. By leveraging these anisotropic capabilities into devices, metamaterial offers a promising pathway to exciting performance-oriented units. However, such distinctive mismatches in forming processes and inherent material properties are severely restricted in achieving cross-scaled microstructures, causing compatibility issues among well-defined bio-functions and fabrication. Herein, we propose an investment micro-casting 3D printing strategy for custom-molding multi-metamaterials without process barriers. This approach handles the bottlenecks of the hierarchical template replacement in ultra-hydrophobicity microchannels for the free assembly of more than 20 types of challenging-to-form materials. A series of piezoelectric metamaterials are programmed with broadband ranges, imitating nerve distribution that has human-feel touch, bending, and recognition. Our work benefits the stiffness self-perception in dynamic grabbing manipulation, broadening the application of multimodal electronics in bio-embodied robots.</p>-
dc.languageeng-
dc.publisherElsevier-
dc.relation.ispartofDevice-
dc.subject3D printing-
dc.subjectbiomimetic electronics-
dc.subjectDTI-2: Explore-
dc.subjectmetamaterial-
dc.subjectmultimodal sensing-
dc.subjectphotopolymerization-
dc.subjectpiezoelectric material-
dc.titleInvestment micro-casting 3D-printed multi-metamaterial for programmable multimodal biomimetic electronics-
dc.typeArticle-
dc.identifier.doi10.1016/j.device.2024.100658-
dc.identifier.scopuseid_2-s2.0-85217117145-
dc.identifier.eissn2666-9986-
dc.identifier.issnl2666-9986-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats