Prediction of mechanical and flame-retardant properties of MOF-loaded polymer composites†
Maciej
Haranczyk 
*a
and
De-Yi
Wang
*a
*a
and
De-Yi
Wang
*a
Abstract
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.
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