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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Main Authors: | , , , , , |
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格式: | Article |
語言: | English |
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2023
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在線閱讀: | https://hdl.handle.net/10356/169079 |
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