Mining structure–property relationships in polymer nanocomposites using data driven finite element analysis and multi-task convolutional neural networks

In this paper, a data driven and deep learning approach for modeling structure–property relationship of polymer nanocomposites is demonstrated. This method is applicable to understand other material mechanisms and guide the design of material with targeted performance.