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A New Certified Hierarchical and Adaptive RB-ML-ROM Surrogate Model for Parametrized PDEs
Bernard Haasdonk, Hendrik Kleikamp, Mario Ohlberger, Felix Schindler and Tizian Wenzel SIAM Journal on Scientific Computing 45(3) A1039 (2023) https://doi.org/10.1137/22M1493318
Parameter identification and state estimation for nuclear reactor operation digital twin
Adaptive machine learning-based surrogate modeling to accelerate PDE-constrained optimization in enhanced oil recovery
Tim Keil, Hendrik Kleikamp, Rolf J. Lorentzen, Micheal B. Oguntola and Mario Ohlberger Advances in Computational Mathematics 48(6) (2022) https://doi.org/10.1007/s10444-022-09981-z
Trust-Region RB Methods for PDE-Constrained Optimization and Optimal Input Design