Stress-strain curve prediction on Average of AM Polymers and Metals (Nylon, CF-ABS, AlSi10Mg, Ti6Al4V)
10.46MAPESegmental predictive model with activation-based PIML architecture
Evaluation results
| Method | Links | ||
|---|---|---|---|
| Segmental predictive model with activation-based PIML architecturesegmental=true, architecture=activation-based PIML2026.03 | 10.46 | 0.82 | |
| Segmental predictive model with loss-based PIML architecturesegmental=true, architecture=loss-based PIML2026.03 | 11.38 | 0.8 | |
| Physics-based constitutive model2026.03 | 18.33 | 0.34 | |
| ANN2026.03 | 18.86 | 0.73 | |
| Transformer2026.03 | 22.33 | 0.7 | |
| Ridge polynomial regression model2026.03 | 40.56 | 0.33 |