Mining structure–property relationships in polymer nanocomposites using data driven finite element analysis and multi-task convolutional neural networks
Yixing Wang, Min Zhang, Anqi Lin, Akshay Iyer, Aditya Prasad, Xiaolin Li, Yichi Zhang, Linda S. Schadler, Wei Chen, L. Catherine Brinson
Abstract
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.
Topics & Concepts
Convolutional neural networkProperty (philosophy)Finite element methodNanocompositeTask (project management)Computer scienceDeep learningMaterials scienceElement (criminal law)Artificial intelligenceNanotechnologyEngineeringStructural engineeringSystems engineeringLawEpistemologyPolitical sciencePhilosophyPolymer Nanocomposites and PropertiesAsphalt Pavement Performance EvaluationPolymer crystallization and properties