Adaptive Model Hierarchies for Multi-Query Scenarios

Kleikamp, Hendrik; Ohlberger, Mario (2025)

In: Körner, Andreas; Kugi, Andreas; Kemmetmüller, Wolfgang; Deutschmann-Olek, Andreas; Steinböck, Andreas; Hartl-Nesic, Christian; Jadachowski, Lukasz Piotr (eds.), MATHMOD 2025 - Discussion Contribution Volume, 15-16. Wien: .

Research article in edited proceedings (conference) | Peer reviewed | Published

Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling

Wenzel, Tizian; Haasdonk, Bernard; Kleikamp, Hendrik; Ohlberger, Mario; Schindler, Felix (2024)

In: Lirkov, I.; Margenov, S. (eds.), Large-Scale Scientific Computations, 117-125. Cham: .

Research article in edited proceedings (conference) | Peer reviewed | Published

A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs

Haasdonk B, Kleikamp H, Ohlberger M, Schindler F, Wenzel T (2023)

In: SIAM Journal on Scientific Computing, 45(3), A1039-1065. doi:10.1137/22M1493318

Research article (journal) | Peer reviewed | Published

Adaptive machine learning based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery

In: , .

| Peer reviewed

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Adaptive Model Hierarchies for Multi-Query Scenarios Kleikamp, Hendrik; Ohlberger, Mario (2025) In: Körner, Andreas; Kugi, Andreas; Kemmetmüller, Wolfgang; Deutschmann-Olek, Andreas; Steinböck, Andreas; Hartl-Nesic, Christian; Jadachowski, Lukasz Piotr (eds.), MATHMOD 2025 - Discussion Contribution Volume, 15-16. Wien: . Research article in edited proceedings (conference) \| Peer reviewed \| Published
Two-stage model reduction approaches for the efficient and certified solution of parametrized optimal control problems Kleikamp, Hendrik; Renelt, Lukas (2025) In: Journal of Scientific Computing, 104(78). doi:10.1007/s10915-025-02988-w Research article (journal) \| Published
Application of Deep Kernel Models for Certified and Adaptive RB-ML-ROM Surrogate Modeling Wenzel, Tizian; Haasdonk, Bernard; Kleikamp, Hendrik; Ohlberger, Mario; Schindler, Felix (2024) In: Lirkov, I.; Margenov, S. (eds.), Large-Scale Scientific Computations, 117-125. Cham: . Research article in edited proceedings (conference) \| Peer reviewed \| Published
Model Reduction and Learning for PDE Constrained Optimization Ohlberger, M.; Banholzer, S.; Haasdonk, B.; Keil, T., Kleikamp, H.; Mechelli, L.; Oguntola, M;, Schindler,F.; Volkwein, S.; Wenzel, T. (2023) In: Oberwolfach Reports, 13/2023. doi:10.4171/OWR/2023/13 Abstract in journal (conference) \| Peer reviewed \| Published
A new certified hierarchical and adaptive RB-ML-ROM surrogate model for parametrized PDEs Haasdonk B, Kleikamp H, Ohlberger M, Schindler F, Wenzel T (2023) In: SIAM Journal on Scientific Computing, 45(3), A1039-1065. doi:10.1137/22M1493318 Research article (journal) \| Peer reviewed \| Published
Nonlinear Model Order Reduction using Diffeomorphic Transformations of a Space-Time Domain Kleikamp Hendrik, Ohlberger Mario, Rave Stephan (2022) In: (eds.), , -. \| Peer reviewed
Adaptive machine learning based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery In: , . \| Peer reviewed