{"title":"平衡自主合成实验室的自主性和专业知识。","authors":"Xiaozhao Liu, Bin Ouyang, Yan Zeng","doi":"10.1038/s43588-025-00769-x","DOIUrl":null,"url":null,"abstract":"Autonomous synthesis laboratories promise to streamline the plan–make–measure–analyze iteration loop. Here, we comment on the barriers in the field, the promise of a human on-the-loop approach, and strategies for optimizing accessibility, accuracy, and efficiency of autonomous laboratories.","PeriodicalId":74246,"journal":{"name":"Nature computational science","volume":"5 2","pages":"92-94"},"PeriodicalIF":18.3000,"publicationDate":"2025-02-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Balancing autonomy and expertise in autonomous synthesis laboratories\",\"authors\":\"Xiaozhao Liu, Bin Ouyang, Yan Zeng\",\"doi\":\"10.1038/s43588-025-00769-x\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Autonomous synthesis laboratories promise to streamline the plan–make–measure–analyze iteration loop. Here, we comment on the barriers in the field, the promise of a human on-the-loop approach, and strategies for optimizing accessibility, accuracy, and efficiency of autonomous laboratories.\",\"PeriodicalId\":74246,\"journal\":{\"name\":\"Nature computational science\",\"volume\":\"5 2\",\"pages\":\"92-94\"},\"PeriodicalIF\":18.3000,\"publicationDate\":\"2025-02-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Nature computational science\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.nature.com/articles/s43588-025-00769-x\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature computational science","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s43588-025-00769-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS","Score":null,"Total":0}
Balancing autonomy and expertise in autonomous synthesis laboratories
Autonomous synthesis laboratories promise to streamline the plan–make–measure–analyze iteration loop. Here, we comment on the barriers in the field, the promise of a human on-the-loop approach, and strategies for optimizing accessibility, accuracy, and efficiency of autonomous laboratories.
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