Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics

Knowledge-integrated machine learning for materials: lessons from gameplaying and robotics

As materials researchers increasingly embrace machine-learning (ML) methods, it is natural to wonder what lessons can be learned from other fields undergoing similar developments. In this Review, we comparatively assess the evolution of applied ML in materials research, gameplaying and robotics. We...

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Bibliographic Details
Main Authors: Hippalgaonkar, Kedar, Li, Qianxiao, Wang, Xiaonan, Fisher, John W., Kirkpatrick, James, Buonassisi, Tonio
Other Authors: School of Materials Science and Engineering
Format: Journal Article
Language:English
Published: 2023
Subjects:
Engineering::Materials
Applied Machine Learning
Hardware Tools
Online Access:https://hdl.handle.net/10356/169079

Internet

https://hdl.handle.net/10356/169079

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