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physics.comp-ph2021★ 19 cited
Quantifying Microstructural Evolution via Time-Dependent Reduced-Dimension Metrics Based on Hierarchical -Point Polytope Functions
Pei-En Chen, Rahul Raghavan, Yu Zheng +2
We devise reduced-dimension metrics for effectively measuring the distance between two points (i.e., microstructures) in the microstructure space and quantifying the pathway associ…
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…