{"title":"基于结构性能关系驱动的按需可编程机械超材料(9/2025)","authors":"Yuling Wei, Fei Pan, Xin Lin, Lei Zhang, Jinwu Xiang, Yuli Chen","doi":"10.1002/adma.202570073","DOIUrl":null,"url":null,"abstract":"<p><b>Mechanical Metamaterial</b></p><p>In article number 2410865, Fei Pan, Yuli Chen, and co-workers propose an automatically on-demand reprogrammable mechanical metamaterial. Driven by the pre-established structure-performance relations, the metamaterial can automatically tune its building blocks' states using built-in actuators to match different target stress-strain curves in real time. This offers a new solution for the physical properties reprogramming of artificial systems.\n\n <figure>\n <div><picture>\n <source></source></picture><p></p>\n </div>\n </figure></p>","PeriodicalId":114,"journal":{"name":"Advanced Materials","volume":"37 9","pages":""},"PeriodicalIF":26.8000,"publicationDate":"2025-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adma.202570073","citationCount":"0","resultStr":"{\"title\":\"On-demand Reprogrammable Mechanical Metamaterial Driven by Structure Performance Relations (Adv. Mater. 9/2025)\",\"authors\":\"Yuling Wei, Fei Pan, Xin Lin, Lei Zhang, Jinwu Xiang, Yuli Chen\",\"doi\":\"10.1002/adma.202570073\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><b>Mechanical Metamaterial</b></p><p>In article number 2410865, Fei Pan, Yuli Chen, and co-workers propose an automatically on-demand reprogrammable mechanical metamaterial. Driven by the pre-established structure-performance relations, the metamaterial can automatically tune its building blocks' states using built-in actuators to match different target stress-strain curves in real time. This offers a new solution for the physical properties reprogramming of artificial systems.\\n\\n <figure>\\n <div><picture>\\n <source></source></picture><p></p>\\n </div>\\n </figure></p>\",\"PeriodicalId\":114,\"journal\":{\"name\":\"Advanced Materials\",\"volume\":\"37 9\",\"pages\":\"\"},\"PeriodicalIF\":26.8000,\"publicationDate\":\"2025-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1002/adma.202570073\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Advanced Materials\",\"FirstCategoryId\":\"88\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/10.1002/adma.202570073\",\"RegionNum\":1,\"RegionCategory\":\"材料科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Advanced Materials","FirstCategoryId":"88","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/adma.202570073","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
In article number 2410865, Fei Pan, Yuli Chen, and co-workers propose an automatically on-demand reprogrammable mechanical metamaterial. Driven by the pre-established structure-performance relations, the metamaterial can automatically tune its building blocks' states using built-in actuators to match different target stress-strain curves in real time. This offers a new solution for the physical properties reprogramming of artificial systems.
期刊介绍:
Advanced Materials, one of the world's most prestigious journals and the foundation of the Advanced portfolio, is the home of choice for best-in-class materials science for more than 30 years. Following this fast-growing and interdisciplinary field, we are considering and publishing the most important discoveries on any and all materials from materials scientists, chemists, physicists, engineers as well as health and life scientists and bringing you the latest results and trends in modern materials-related research every week.