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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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02/16/2022
Front Transport Reduction for Complex Moving Fronts
This work addresses model order reduction for complex moving fronts, whi...
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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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10/25/2020
A "DIY" data acquisition system for acoustic field measurements under harsh conditions
Monitoring active volcanos is an ongoing and important task helping to u...
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10/16/2020
Finite-difference-based simulation and adjoint optimization of gas networks
The stable operation of gas networks is an important optimization target...
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02/26/2020
Optimization-based modal decomposition for systems with multiple transports
Mode-based model-reduction is used to reduce the degrees of freedom of h...
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12/11/2019
A 3D wavelet-based incompressible Navier-Stokes solver for fully adaptive computations in time-varying geometries
We present a wavelet-based adaptive method for computing 3D flows in com...
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12/06/2019