fig5

A mechanics-informed deep learning constitutive model for sequential prediction of strain rate-dependent behavior and microstructural evolution

Figure 5. Experimental results of hyperparameter sensitivity. (A-E) MSE variations across key hyperparameters: GRU hidden dimensions, GRU layers, embedding dimensions, MHA heads, and FFN hidden dimensions; (F) Normalized importance scores of investigated hyperparameters. MSE: Mean squared error; GRU: gated recurrent unit; MHA: multi-head attention; FFN: feed-forward network.

Microstructures
ISSN 2770-2995 (Online)

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