Embedding state constraints into Operator Inference yields reduced-order models that remain stable and physically consistent when extrapolating over 200% beyond the training regime for char combustion.
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Physically consistent predictive reduced-order modeling by enhancing Operator Inference with state constraints
Embedding state constraints into Operator Inference yields reduced-order models that remain stable and physically consistent when extrapolating over 200% beyond the training regime for char combustion.