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04/28/2023
Parametric model order reduction for a wildland fire model via the shifted POD based deep learning method
Parametric model order reduction techniques often struggle to accurately...
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02/02/2023
Macro-micro decomposition for consistent and conservative model order reduction of hyperbolic shallow water moment equations: A study using POD-Galerkin and dynamical low rank
Geophysical flow simulations using hyperbolic shallow water moment equat...
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02/16/2022
Front Transport Reduction for Complex Moving Fronts
This work addresses model order reduction for complex moving fronts, whi...
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12/14/2021
Supervised Learning for Multi Zone Sound Field Reproduction under Harsh Environmental Conditions
This manuscript presents an approach for multi zone sound field reproduc...
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11/10/2020
Wavelet Adaptive Proper Orthogonal Decomposition for Large Scale Flow Data
The proper orthogonal decomposition (POD) is a powerful classical tool i...
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12/06/2019