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cond-mat.mtrl-sci2022★ 1 cited
Graph Neural Network Modeling of Grain-scale Anisotropic Elastic Behavior using Simulated and Measured Microscale Data
Darren C. Pagan, Calvin R. Pash, Austin R. Benson +1
Here we assess the applicability of graph neural networks (GNNs) for predicting the grain-scale elastic response of polycrystalline metallic alloys. Using GNN surrogate models, gra…
cond-mat.mtrl-sci2022★ 4 cited
Machine-learning convex and texture-dependent macroscopic yield from crystal plasticity simulations
Jan N. Fuhg, Lloyd van Wees, Mark Obstalecki +3
The influence of the microstructure of a polycrystalline material on its macroscopic deformation response is still one of the major problems in materials engineering. For materials…