{"title":"Agentifying the scientific method","authors":"Jiheon Kim, Edward H. Sargent","doi":"10.1016/j.matt.2026.103045","DOIUrl":null,"url":null,"abstract":"<div><div>Automation in materials research has targeted the making; the scientific method—hypothesizing, designing discriminating experiments, judging what the data mean—has remained human. This preview highlights a study by Ghareeb, Chang, and colleagues in which a multi-agent system takes on those stages and asks what that means for materials discovery.</div></div><div>Automation in materials research has targeted the making; the scientific method—hypothesizing, designing discriminating experiments, judging what the data mean—has remained human. This preview highlights a study by Ghareeb, Chang, and colleagues in which a multi-agent system takes on those stages and asks what that means for materials discovery.</div>","PeriodicalId":388,"journal":{"name":"Matter","volume":"9 10","pages":"Article 103045"},"PeriodicalIF":15.7000,"publicationDate":"2026-10-07","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/S259023852600408X","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
Automation in materials research has targeted the making; the scientific method—hypothesizing, designing discriminating experiments, judging what the data mean—has remained human. This preview highlights a study by Ghareeb, Chang, and colleagues in which a multi-agent system takes on those stages and asks what that means for materials discovery.
Automation in materials research has targeted the making; the scientific method—hypothesizing, designing discriminating experiments, judging what the data mean—has remained human. This preview highlights a study by Ghareeb, Chang, and colleagues in which a multi-agent system takes on those stages and asks what that means for materials discovery.
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.