超材料
多稳态
软机器人
双稳态
机器人
计算机科学
材料科学
纳米技术
软质材料
物理
光电子学
人工智能
非线性系统
量子力学
作者
Taylor E. Greenwood,Brian Elder,Md Nahid Hasan,Jared Anklam,Saebom Lee,Jian Teng,Pai Wang,Yong Lin Kong
出处
期刊:Science Advances
[American Association for the Advancement of Science]
日期:2025-07-16
卷期号:11 (29)
标识
DOI:10.1126/sciadv.adu3749
摘要
The wireless actuation of magnetic soft architectures can enable complex functionalities important in biomedicine and soft robotics. However, transforming and maintaining a device’s desired geometry without a sustained energy input remains challenging, especially where environmental stresses can be unpredictable. Here, we create a soft multistable magnetic-responsive metamaterial with programmable energy barriers enabled by a bistable geometry made entirely from soft material. The multistability and magnetic programming enable the soft metamaterials to reversibly transform between stable states, even under mechanical and thermal stresses that far exceed physiological conditions. In addition, the metamaterials can sustain compressive loads more than 10 times their mass, achieve shape reconfiguration in remote and confined spaces, and wirelessly deliver fluids against pressure, suggesting a broad range of future biomedical and soft robot applications.
科研通智能强力驱动
Strongly Powered by AbleSci AI