On‐demand Reprogrammable Mechanical Metamaterial Driven by Structure Performance Relations (Adv. Mater. 9/2025)
Mechanical Metamaterial In article number 2410865, Fei Pan, Yuli Chen, and co-workers propose an automatically on-demand reprogrammable mechanical metamaterial. Driven by the pre-established structure-performance relations, the metamaterial can automatically tune its building blocks' states using built-in actuators to match different target stress-strain curves in real time. This offers a new solution for the physical properties reprogramming of artificial systems.
Authors
- Fei Pan (ORCID: https://orcid.org/0000-0002-0080-9411)
- Lei Zhang (ORCID: https://orcid.org/0000-0002-7722-565X)
- Yu‐Ling Wei (ORCID: https://orcid.org/0000-0003-4464-2796)
- Yuli Chen (ORCID: https://orcid.org/0000-0003-1880-3103)
- Xin Lin (ORCID: https://orcid.org/0009-0008-9963-3284)
- Jinwu Xiang (ORCID: https://orcid.org/0000-0002-4490-9457)
Institutions
- Beihang University (CN)
Publication Details
- Journal
- Advanced Materials
- Published
- 2025-03-01
- DOI
- https://doi.org/10.1002/adma.202570073
- Primary Topic
- Modular Robots and Swarm Intelligence
- Type
- article
- Field-Weighted Citation Impact
- 0.00