Martin Tyler B, Audus Debra J
National Institute of Standards and Technology, Gaithersburg, Maryland20899, United States.
ACS Polym Au. 2023 Jan 18;3(3):239-258. doi: 10.1021/acspolymersau.2c00053. eCollection 2023 Jun 14.
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.
在过去五年中，应用于聚合物科学的机器学习和人工智能有了巨大的发展。在此，我们强调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，重点关注在综述文献中较少受到关注的主题。最后，我们对该领域进行展望，概述聚合物科学中机器学习和人工智能的重要增长领域，并讨论整个材料科学界的重要进展。
