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Updated: Jun 9, 2025

Author Spotlight: Exploring Self-Assembled MOF-Polymer Composites
Published on: June 14, 2024
Prediction of mechanical and flame-retardant properties of MOF-loaded polymer composites
Junchen Xiao1,2, Maciej Haranczyk1, De-Yi Wang1
1IMDEA Materials Institute, C/Eric Kandel, 2, 28906 Getafe, Madrid, Spain. deyi.wang@imdea.org.
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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