材料科学
灵活性(工程)
纳米技术
纳米复合材料
软质材料
仿生学
软机器人
智能材料
多稳态
计算机科学
机械工程
执行机构
工程类
人工智能
非线性系统
物理
统计
量子力学
数学
作者
Bumyong Yoon,Taehoon Oh,Yoon Jin Chang,Jonghwan Suhr
出处
期刊:Small
[Wiley]
日期:2024-08-07
标识
DOI:10.1002/smll.202310682
摘要
Polymer nanocomposites exhibiting remarkable mechanical properties are a focus of research for decades in structural applications. However, their practical application faces challenges due to poor interfacial load transfer, nanofiller dispersion, and processing limitations. These issues are critical in achieving stiff, strong, lightweight, and structurally integrated materials. Additionally, they often suffer from predetermined properties, which may not be effective under specific loading conditions. Addressing these challenges, the development of design strategies for mechano-responsive materials has advanced, enabling self-adaptive properties that respond to various mechanical stimuli. Drawing inspiration from natural systems, these approaches have been implemented in synthetic material systems, leveraging the design flexibility of nanocomposites as needed. Key focus areas include exploring mechanoradical reactions for dynamic mechano-responsiveness, as well as utilizing biomimetic mineralization and mechanical training for self-strengthening. This work also examines multistability, enabling on-demand deformation of materials and structures. Recent advancements in viscoelastic damping and nonreciprocal materials are discussed, highlighting their potential for directional energy absorption, transmission, and vibration control. Despite the need for significant improvements for real-world applications, mechano-responsive polymers and nanocomposites are expected to offer enormous opportunities not only in structural applications but also in other fields such as biomedical engineering, energy harvesting, and soft robotics.
科研通智能强力驱动
Strongly Powered by AbleSci AI