自愈材料
软机器人
软质材料
自愈
机械强度
纳米技术
材料科学
计算机科学
执行机构
纳米结构
智能材料
机器人学
生物医学工程
机械工程
机器人
复合材料
人工智能
工程类
医学
病理
替代医学
作者
Abdon Pena‐Francesch,Haejoon Jung,Melik C. Demirel,Metin Sitti
出处
期刊:Nature Materials
[Springer Nature]
日期:2020-07-27
卷期号:19 (11): 1230-1235
被引量:202
标识
DOI:10.1038/s41563-020-0736-2
摘要
Self-healing materials are indispensable for soft actuators and robots that operate in dynamic and real-world environments, as these machines are vulnerable to mechanical damage. However, current self-healing materials have shortcomings that limit their practical application, such as low healing strength (below a megapascal) and long healing times (hours). Here, we introduce high-strength synthetic proteins that self-heal micro- and macro-scale mechanical damage within a second by local heating. These materials are optimized systematically to improve their hydrogen-bonded nanostructure and network morphology, with programmable healing properties (2–23 MPa strength after 1 s of healing) that surpass by several orders of magnitude those of other natural and synthetic soft materials. Such healing performance creates new opportunities for bioinspired materials design, and addresses current limitations in self-healing materials for soft robotics and personal protective equipment. Protein-based materials for soft robotics that self-heal within a second while maintaining the high strength of the damaged area are reported.
科研通智能强力驱动
Strongly Powered by AbleSci AI