ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING IN MATERIALS SCIENCE

被引：0
|
作者：
Stuckner, Joshua [1 ]
Taheri-Mousavi, S. Mohadeseh [2 ]
Saal, James E. [3 ]
机构：
[1] Departments of Materials Science and Engineering and Mechanical Engineering Carnegie Mellon University, Pittsburgh
[2] Citrine Informatics, Redwood City, CA
来源：
Advanced Materials and Processes | 2024年 / 182卷 / 04期
关键词：
additive manufacturing; artificial intelligence; automation; data-driven models; machine learning; materials design;
D O I：
10.31399/asm.amp.2024-04.p014
中图分类号：
学科分类号：
摘要：
This article provides a brief overview of the many ways that artificial intelligence and machine learning are being used for materials and manufacturing research. Several case studies show how the discovery, development, and deployment of novel materials are being dramatically accelerated through automation and data-driven models. © 2024, ASM International. All rights reserved.
引用
收藏
页码：14 / 20
页数：6
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