计算机科学
财产(哲学)
代表(政治)
概率逻辑
集合(抽象数据类型)
图形
生物系统
微观结构
材料性能
拓扑(电路)
分布式计算
理论计算机科学
材料科学
数学
人工智能
生物
认识论
组合数学
政治学
哲学
复合材料
政治
冶金
程序设计语言
法学
作者
Ke Liu,Rachel Sun,Chiara Daraio
出处
期刊:Science
[American Association for the Advancement of Science (AAAS)]
日期:2022-08-25
卷期号:377 (6609): 975-981
被引量:48
标识
DOI:10.1126/science.abn1459
摘要
Biomaterials display microstructures that are geometrically irregular and functionally efficient. Understanding the role of irregularity in determining material properties offers a new path to engineer materials with superior functionalities, such as imperfection insensitivity, enhanced impact absorption, and stress redirection. We uncover fundamental, probabilistic structure-property relationships using a growth-inspired program that evokes the formation of stochastic architectures in natural systems. This virtual growth program imposes a set of local rules on a limited number of basic elements. It generates materials that exhibit a large variation in functional properties starting from very limited initial resources, which echoes the diversity of biological systems. We identify basic rules to control mechanical properties by independently varying the microstructure's topology and geometry in a general, graph-based representation of irregular materials.
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