most citedLearning from 2D: machine learning of 3D effective properties of heterogeneous materials based on 2D microstructure sections

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

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1 paper

cond-mat.mtrl-sci2023★ 5 cited

Learning from 2D: machine learning of 3D effective properties of heterogeneous materials based on 2D microstructure sections

Guangyu Hu, Marat I. Latypov

Microstructure--property relationships are key to effective design of structural materials for advanced applications. Advances in computational methods enabled modeling microstruct…