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A Three-Dimensional Multiscale Finite Element Framework for Nonlinear Composite Materials Based on Deep Learning
Hierarchical multiscale simulations of composite materials face difficulties due to the enormous computational cost they require. Recent research has found that multiscale finite element methods based on homogenization and Recurrent Neural Networks (RNN) have the potential to address this challenge.
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