Online adaptive model reduction efficiently reduces numerical models of
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Data-driven modeling has become a key building block in computational sc...
Efficiently reducing models of chemically reacting flows is often challe...
Noise poses a challenge for learning dynamical-system models because alr...
This work introduces a non-intrusive model reduction approach for learni...
This work derives a residual-based a posteriori error estimator for redu...
We investigate the use of physics-informed neural networks-based solutio...