{"title":"Autonomous chemistry: Navigating self-driving labs in chemical and material sciences","authors":"Oliver Bayley , Elia Savino , Aidan Slattery , Timothy Noël","doi":"10.1016/j.matt.2024.06.003","DOIUrl":null,"url":null,"abstract":"<div><p>Self-driving labs (SDLs) have recently emerged as one of the most significant technological developments in the chemical and materials sciences and hold the potential to revolutionize the research process. Herein, we discuss the structure of an SDL in terms of the hardware, the coordinator software, and the AI agent and examine how the selection of these elements affects the overall research capabilities. We further look to the application and accessibility of these platforms to better understand their future impact on synthetic and materials chemistry. With the rapid rise in the capabilities of these SDLs, and with the increasing democratization of the space, it is crucial to be aware of both the promises and pitfalls this technology holds.</p></div>","PeriodicalId":388,"journal":{"name":"Matter","volume":null,"pages":null},"PeriodicalIF":17.3000,"publicationDate":"2024-07-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Matter","FirstCategoryId":"88","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590238524003229","RegionNum":1,"RegionCategory":"材料科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
Abstract
Self-driving labs (SDLs) have recently emerged as one of the most significant technological developments in the chemical and materials sciences and hold the potential to revolutionize the research process. Herein, we discuss the structure of an SDL in terms of the hardware, the coordinator software, and the AI agent and examine how the selection of these elements affects the overall research capabilities. We further look to the application and accessibility of these platforms to better understand their future impact on synthetic and materials chemistry. With the rapid rise in the capabilities of these SDLs, and with the increasing democratization of the space, it is crucial to be aware of both the promises and pitfalls this technology holds.
期刊介绍：
Matter, a monthly journal affiliated with Cell, spans the broad field of materials science from nano to macro levels,covering fundamentals to applications. Embracing groundbreaking technologies,it includes full-length research articles,reviews, perspectives,previews, opinions, personnel stories, and general editorial content.
Matter aims to be the primary resource for researchers in academia and industry, inspiring the next generation of materials scientists.
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