Nuo Xu

Neural-Embedded Graphical Model for Self-Consistent Hierarchical Upscaling of Complex Composites

This work introduces a fully scalable neural-embedded graphical model (NEGM) that provides a unified framework for the progressive upscaling of highly heterogeneous composite materials and suggests that artificial neural networks not only enhance the efficiency of direct single-scale simulations, but also provide a cle...