Non-intrusive Nonlinear Model Reduction via Machine Learning Approximations to Low-dimensional Operators

no code implementations • 17 Jun 2021 • Zhe Bai, Liqian Peng

Although projection-based reduced-order models (ROMs) for parameterized nonlinear dynamical systems have demonstrated exciting results across a range of applications, their broad adoption has been limited by their intrusivity: implementing such a reduced-order model typically requires significant modifications to the underlying simulation code.

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