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Inconsistency Removal of Reduced Bases in Parametric Model Order Reduction by Matrix Interpolation Using Adaptive Sampling and Clustering

open access: yesInternational Journal for Numerical Methods in Engineering, Volume 127, Issue 1, 15 January 2026.
ABSTRACT Parametric model order reduction by matrix interpolation allows for efficient prediction of the behavior of dynamic systems without requiring knowledge about the underlying parametric dependency. Within this approach, reduced models are first sampled and then made consistent with each other by transforming the underlying reduced bases. Finally,
Sebastian Resch‐Schopper   +2 more
wiley   +1 more source

Prediction of the transient coolant jet released from the nose cone at supersonic flow via machine learning. [PDF]

open access: yesSci Rep
Basem A   +9 more
europepmc   +1 more source

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