伪装
可穿戴计算机
软机器人
计算机科学
可穿戴技术
软质材料
背景(考古学)
合并(版本控制)
可解释性
皱纹
人工智能
纳米技术
人机交互
材料科学
生物
机器人
嵌入式系统
古生物学
复合材料
情报检索
作者
Panyiming Liu,Erica M. Leung,Mohsin Ali Badshah,Christopher S. Moore,Alon A. Gorodetsky
摘要
Wearable thermoregulatory technologies have attracted widespread attention because of their potential for impacting individual physiological comfort and for reducing building energy consumption. Within this context, the study of materials and systems that can merge the advantageous characteristics of both active and passive operating modes has proven particularly attractive. Accordingly, our laboratory has drawn inspiration from the appearance-changing skin of Loliginidae (inshore squids) for the introduction of a unique class of dynamic thermoregulatory composite materials with outstanding figures of merit. Herein, we demonstrate a straightforward approach for experimentally controlling and computationally predicting the adaptive infrared properties of such bioinspired composites, thereby enabling the development and validation of robust structure-function relationships for the composites. Our findings may help unlock the potential of not only the described materials but also comparable systems for applications as varied as thermoregulatory wearables, food packaging, infrared camouflage, soft robotics, and biomedical sensing.
科研通智能强力驱动
Strongly Powered by AbleSci AI