在同质催化中多任务学习:预测乙烯聚合物的催化性能的案例研究

Zubair Sadiq1,2, Wenhong Yang3, Weisheng Yang3

  • 1Key Laboratory of Engineering Plastics and Beijing National Laboratory for Molecular Science, Institute of Chemistry, Chinese Academy of Sciences, Beijing, China.

概括

一个多任务学习 (MTL) 机器学习 (ML) 模型准确地预测了乙烯聚合物的催化性能. CatBoost MTL模型确定了用于增强聚合物特性的关键复杂特征.

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