透视图(图形)
领域(数学)
计算机科学
人工智能
数据科学
光学(聚焦)
工程伦理学
管理科学
纳米技术
工程类
材料科学
数学
光学
物理
纯数学
作者
Tyler B. Martin,Debra J. Audus
出处
期刊:ACS Polymers Au
[American Chemical Society]
日期:2023-01-18
卷期号:3 (3): 239-258
被引量:44
标识
DOI:10.1021/acspolymersau.2c00053
摘要
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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