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Nikolaj Takata Mücke
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Reduced order modeling for parameterized time-dependent PDEs using spatially and memory aware deep learning
NT Mücke, SM Bohté, CW Oosterlee
Journal of Computational Science 53, 101408, 2021
392021
Reduced Order Modeling for Nonlinear PDE-constrained Optimization using Neural Networks
NT Mücke, LH Christiansen, AP Karup-Engsig, JB Jørgensen
2019 IEEE 58th Conference on Decision and Control (CDC), 2019
52019
Markov chain generative adversarial neural networks for solving Bayesian inverse problems in physics applications
NT Mücke, B Sanderse, SM Bohté, CW Oosterlee
Computers & Mathematics with Applications 147, 278-299, 2023
32023
A Probabilistic Digital Twin for Leak Localization in Water Distribution Networks Using Generative Deep Learning
NT Mücke, P Pandey, S Jain, SM Bohté, CW Oosterlee
Sensors 23 (13), 6179, 2023
22023
Reduced Order Modelling for Dispersive and Nonlinear Water Wave Modelling
FG Eroglu, NT Mücke, AP Engsig-Karup
37th International Workshop on Water Waves and Floating Bodies, 2022
22022
AI enhanced data assimilation and uncertainty quantification applied to Geological Carbon Storage
GS Seabra, NT Mücke, VLS Silva, D Voskov, F Vossepoel
arXiv preprint arXiv:2402.06110, 2024
2024
Reduced Order Modelling for Wave-Structure Modelling
FG Eroglu, NT Mücke, J Visbech, AP Engsig-Karup
22nd IACM Computational Fluids Conference, 2022
2022
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