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ReLMM:强化学习优化了建模材料中的特征选择

Maitreyee Sharma Priyadarshini1,2, Nikhil Kumar Thota1, Rigoberto Hernandez1,2,3

  • 1Department of Chemical and Biomolecular Engineering, Johns Hopkins University, Baltimore, Maryland 21218, United States.

Journal of chemical information and modeling
|December 17, 2024
PubMed
概括

本研究介绍了一种基于强化学习的材料模型 (ReLMM),用于识别材料属性预测的最小特征子集. ReLMM有效地选择关键的物理特征,提高准确性和减少材料发现的冗余性.

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