Prediction of mechanical and flame-retardant properties of MOF-loaded polymer composites

被引：0
|
作者：
Xiao, Junchen [1 ,2 ]
Haranczyk, Maciej [1 ]
Wang, De-Yi [1 ]
机构：
[1] IMDEA Mat Inst, C Er Kandel 2, Madrid 28906, Spain
[2] Univ Politecn Madrid, ETS Ingn Caminos, Madrid 28040, Spain
来源：
CHEMICAL COMMUNICATIONS | 2024年 / 60卷 / 90期
关键词：
D O I：
10.1039/d4cc04130e
中图分类号：
O6 [化学];
学科分类号：
0703 ;
摘要：
We have successfully constructed a machine learning framework to predict the important properties of MOF-loaded (metal-organic framework) polymer composites. Our classification models have obtained promising predictive performance. The analysis of feature importance has revealed the relationship between MOFs and the properties of polymer composites, guiding the research focus for MOF's application in the fire safety field.
引用
收藏
页码：13215 / 13218
页数：4
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