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Materials Genome Prediction in Polymer Nanocomposites

The Material Genome Initiative launched in 2011 created a new era for top-down material design and discovery that aims at faster material deployment from research to commercialization. Using polymer nanocomposites as an exemplary case, this project focuses on developing the infrastructure and methodology in representation, evaluation, and prediction of optimal polymer nanocomposite material properties. This synergy combines material structure characterization, processing-structure correlation, physics-based finite element modeling, and a living data resource for polymer nanocomposite material data. Our research targets at the quantitative statistical correlation among the p-s-p domains and examines the underlying principles behind the influences such as interphase and surface chemistry.  Click on the links below to learn more.

Processing-Structure Correlation

Coupling Physics-based Modeling with Material Genome Prediction

NanoMine: an Online Platform of Material Genome Prediction for Polymer Nanocomposites