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03/06/2023
Adaptive Localized Reduced Basis Methods for Large Scale Parameterized Systems
In this contribution, we introduce and numerically evaluate a certified ...
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02/28/2023
Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling
In the framework of reduced basis methods, we recently introduced a new ...
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04/25/2022
On the Performance of Machine Learning Methods for Breakthrough Curve Prediction
Reactive flows are important part of numerous technical and environmenta...
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10/24/2021
An adaptive model hierarchy for data-augmented training of kernel models for reactive flow
We consider machine-learning of time-dependent quantities of interest de...
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04/06/2021
A full order, reduced order and machine learning model pipeline for efficient prediction of reactive flows
We present an integrated approach for the use of simulated data from ful...
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12/21/2020
An adaptive projected Newton non-conforming dual approach for trust-region reduced basis approximation of PDE-constrained parameter optimization
In this contribution we device and analyze improved variants of the non-...
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06/16/2020
A non-conforming dual approach for adaptive Trust-Region Reduced Basis approximation of PDE-constrained optimization
In this contribution we propose and rigorously analyze new variants of a...
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02/25/2016
