{"title":"Beyond the fourth paradigm of modeling in chemical engineering","authors":"John R. Kitchin, Victor Alves, Carl D. Laird","doi":"10.1038/s44286-024-00170-x","DOIUrl":null,"url":null,"abstract":"Differentiable programming underpins the foundations of machine learning, and enables new approaches to solving chemical engineering problems. This Comment discusses the opportunities and challenges in education and preparing the workforce to leverage these tools. Integration of these skills with domain knowledge can have a substantial impact on the future of chemical engineering.","PeriodicalId":501699,"journal":{"name":"Nature Chemical Engineering","volume":"2 1","pages":"11-13"},"PeriodicalIF":0.0000,"publicationDate":"2025-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.nature.com/articles/s44286-024-00170-x.pdf","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Nature Chemical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://www.nature.com/articles/s44286-024-00170-x","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Differentiable programming underpins the foundations of machine learning, and enables new approaches to solving chemical engineering problems. This Comment discusses the opportunities and challenges in education and preparing the workforce to leverage these tools. Integration of these skills with domain knowledge can have a substantial impact on the future of chemical engineering.
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