most citedImproving Direct Physical Properties Prediction of Heterogeneous Materials from Imaging Data via Convolutional Neural Network and a Morphology-Aware Generative Model

5 citations · 5 across the 1 of their papers we have counts for

collaborators

1 paper

physics.comp-ph2017★ 5 cited

Improving Direct Physical Properties Prediction of Heterogeneous Materials from Imaging Data via Convolutional Neural Network and a Morphology-Aware Generative Model

Ruijin Cang, Hechao Li, Hope Yao +2

Direct prediction of material properties from microstructures through statistical models has shown to be a potential approach to accelerating computational material design with lar…