Figure 4 | Scientific Reports

Figure 4

From: Machine learning unifies flexibility and efficiency of spinodal structure generation for stochastic biomaterial design

Figure 4

Spatial extrapolation of the as-trained CNN to generating large spinodal structures. (A) spinodal structures of three sizes are generated for different porosity fractions and mean pore size; (B) 2-point correlation statistics of the generated spinodal structures; (C) A comparison of computation time of different models in generating spinodal structures of different size. Note that both physics model and CNN model generate spinodal structure through dynamic spinodal decomposition simulation. A full simulation with 100 steps is carried out for both of them. The computation time is measured in the same computational environment for the three models: 36-core Intel Xeon Gold 6154 CPU, 2 × NVIDIA Tesla V100 GPU, 180 GB RAM.

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