{"title":"自驾车纳米粒子合成","authors":"Tong Zhao, Yan Zeng","doi":"10.1038/s44286-025-00225-7","DOIUrl":null,"url":null,"abstract":"The multidimensional chemical parameter space for nanoparticle synthesis is too extensive for traditional exploration, but integrating robotic automation, microfluidics and machine learning can accelerate discovery and improve synthesis controllability.","PeriodicalId":501699,"journal":{"name":"Nature Chemical Engineering","volume":"2 5","pages":"290-291"},"PeriodicalIF":0.0000,"publicationDate":"2025-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Self-driving nanoparticle synthesis\",\"authors\":\"Tong Zhao, Yan Zeng\",\"doi\":\"10.1038/s44286-025-00225-7\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The multidimensional chemical parameter space for nanoparticle synthesis is too extensive for traditional exploration, but integrating robotic automation, microfluidics and machine learning can accelerate discovery and improve synthesis controllability.\",\"PeriodicalId\":501699,\"journal\":{\"name\":\"Nature Chemical Engineering\",\"volume\":\"2 5\",\"pages\":\"290-291\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2025-05-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature Chemical Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s44286-025-00225-7\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Chemical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44286-025-00225-7","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The multidimensional chemical parameter space for nanoparticle synthesis is too extensive for traditional exploration, but integrating robotic automation, microfluidics and machine learning can accelerate discovery and improve synthesis controllability.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
