Nikolaj Mücke

Full Name: N.T. Mücke
Function(s): PhD student

Email: Nikolaj.Mucke@cwi.nl
Telephone: +31 20 592 4247
Room: L141
Department(s): Scientific Computing
Homepage: https://www.nikolajmucke.com/

Biography

Nikolaj Mücke works a PhD student in the Scientific Computing Group at CWI. His work centers around combining methods and approaches from the areas of numerical analysis and machine learning in order to solve complicated partial differential equation problems. Currently, the focus is on effective and robust reduced order modelling for time-dependent fluid problems. Prior to working as a PhD student he received his B.Sc. and M.Sc. from the Technical University of Denmark (DTU).

Publications

Mücke, N.T, Bohte, S.M, & Oosterlee, C.W. (2021). Reduced order modeling for parameterized time-dependent PDEs using spatially and memory aware deep learning. Journal of Computational Science, 53. doi:10.1016/j.jocs.2021.101408

Current projects with external funding

Physics based ICT: The digital twin in pipelines (DP-Trans)