机器学习的新趋势:聚合物视角

IF 4.7 Q1 POLYMER SCIENCE ACS polymers Au Pub Date : 2023-01-18 DOI:10.1021/acspolymersau.2c00053
Tyler B. Martin*,  and , Debra J. Audus*, 
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引用次数: 12

摘要

在过去的五年里,机器学习和人工智能在聚合物科学中的应用取得了巨大的发展。在这里,我们强调了聚合物带来的独特挑战,以及该领域如何应对这些挑战。我们关注新兴趋势,重点关注综述文献中关注较少的主题。最后,我们对该领域进行了展望,概述了聚合物科学中机器学习和人工智能的重要增长领域,并讨论了更大的材料科学界的重要进展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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Emerging Trends in Machine Learning: A Polymer Perspective

In the last five years, there has been tremendous growth in machine learning and artificial intelligence as applied to polymer science. Here, we highlight the unique challenges presented by polymers and how the field is addressing them. We focus on emerging trends with an emphasis on topics that have received less attention in the review literature. Finally, we provide an outlook for the field, outline important growth areas in machine learning and artificial intelligence for polymer science and discuss important advances from the greater material science community.

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