Fig. 1: Learning rates of LSHR grain-scale elastic response using various numbers of CEFEM simulations for training and testing. | npj Computational Materials

Fig. 1: Learning rates of LSHR grain-scale elastic response using various numbers of CEFEM simulations for training and testing.

From: Graph neural network modeling of grain-scale anisotropic elastic behavior using simulated and measured microscale data

Fig. 1

Insets show a magnified view of the learning rate at larger epochs. a Learning rates using the directional modulus E(r) as a nodal feature. b Learning rates using the lattice orientation (components of the Rodrigues vector r) as nodal features.

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