AI optimization
Process Optimizer
Deterministic screening: rules → DOE → self-built physics surrogate → multi-objective scoring → Pareto. Explainable candidates, no LLM-authored parameters.
Optimization intent
Hard constraints are never traded away
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Objectives (weighted, stored with run)
Hardness ↑Toughness ↑Robustness ↑Crack risk ↓Distortion ↓Cycle ↓Energy ↓
Run summary
No run yet
Run an optimization to see the Pareto front and candidate set.