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

TitleMining structure–property relationships in polymer nanocomposites using data driven finite element analysis and multi-task convolutional neural networks
Publication TypeJournal Article
Year of Publication2020
AuthorsY Wang, M Zhang, A Lin, A Iyer, AS Prasad, X Li, Y Zhang, LS Schadler, W Chen, and LC Brinson
JournalMolecular Systems Design & Engineering
Volume5
Start Page962
Issue5
Pagination962 - 975
Date Published/
Abstract

<p>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.</p>

DOI10.1039/d0me00020e
Short TitleMolecular Systems Design & Engineering