Chemical education in digital chemistry

IF 19.1 1区 化学 Q1 CHEMISTRY, MULTIDISCIPLINARY Chem Pub Date : 2024-12-12 DOI:10.1016/j.chempr.2024.10.010
Fun Man Fung, Magdalena Lederbauer, Yvonne S.L. Choo, Timo Gehring, Kevin Maik Jablonka, Kjell Jorner, Philippe Schwaller, Michael B. Sullivan, Andrea Volkamer, Matthew S. Sigman, Kuangbiao Liao, Charles Windle
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引用次数: 0

Abstract

In this digital age where machine learning has won the Nobel Prizes in both Physics and Chemistry, it is ever more important to give chemistry students an educational advantage that will enable them to use the tools of artificial intelligence and machine learning to enhance both their study experience and their future research. In this Voices article, chemistry education and research experts gather to share their implementation and utilization of these data-driven tools in classes and in labs.
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数字化化学中的化学教育
在这个机器学习获得诺贝尔物理学和化学奖的数字时代,为化学学生提供教育优势变得更加重要,这将使他们能够使用人工智能和机器学习的工具来增强他们的学习体验和未来的研究。在这篇文章中,化学教育和研究专家聚集在一起,分享他们在课堂和实验室中对这些数据驱动工具的实施和利用。
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来源期刊
Chem
Chem Environmental Science-Environmental Chemistry
CiteScore
32.40
自引率
1.30%
发文量
281
期刊介绍: Chem, affiliated with Cell as its sister journal, serves as a platform for groundbreaking research and illustrates how fundamental inquiries in chemistry and its related fields can contribute to addressing future global challenges. It was established in 2016, and is currently edited by Robert Eagling.
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