Michael Schlottke-Lakemper

Michael Schlottke-Lakemper

Interim Professor

RWTH Aachen University, Germany

I am an interim professor (Vertretungsprofessor) for Computational Mathematics and research software engineer at the Applied and Computational Mathematics Research Lab at RWTH Aachen University, Germany. My research focus is on numerical methods for adaptive multi-physics simulations, research software engineering for high-performance computing, and scientific machine learning.

  • Adaptive multi-physics simulations
  • Scientific machine learning
  • Research software engineering for high-performance computing with Julia
  • Applications in fluid mechanics, aeroacoustics, and astrophysics
  • Dr.-Ing. in Computational Engineering Science, 2017

    RWTH Aachen University, Germany

  • Dipl.-Ing. in Aerospace Engineering, 2011

    University of Stuttgart, Germany

  • MS in Aerospace Engineering, 2010

    Georgia Institute of Technology, US

Recent Publications

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Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing
A purely hyperbolic discontinuous Galerkin approach for self-gravitating gas dynamics
Adaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing


Courses and supervised students


Mathematical Principles I

Winter 2022/2023, website

Numerical Methods for Computational Fluid Dynamics

Summer 2021, website

Machine Learning in Theory and Practice

Winter 2020/2021, website

Numerical Methods for Computational Fluid Dynamics

Summer 2020, website

Machine Learning with Artificial Neural Networks

Winter 2019/2020, website

Supervised Students

PhD theses

  • N. Neher, Particle-based parallel multiphysics simulations (tbd.) (expected 2027)

Master’s Theses

  • H. Zunker, Robust and self-learning shock capturing with artificial neural networks (2022)
  • D. Sklema, Perturbation kinetic equations for turbulence simulations (2022)
  • E. Faulhaber, Octree-Based AMR on Cubed Sphere Grids with Discontinuous Galerkin Methods (2022)
  • K. Scislak, Deep learning-based boundary conditions for computational aeroacoustics (2021)
  • J. Odenthal, Shock capturing with articial neural networks (2021)
  • M. Matysiak, Turbulence modeling with artificial neural networks for the viscous Burgers’ equation (2020)
  • J. Vorspohl, A comparison between SBP-SAT and DG operators for computational aeroacoustics on non-conforming meshes (2019)
  • B. Peeters, Combustion noise prediction with the direct-hybrid method for computational aeroa- coustics (2017)
  • A. Niemöller, Dynamic load balancing for direct-hybrid computational aeroacoustics, 2017
  • A. Mengel, Investigation of the sound generated by the flow behind a rectangular cylinder with the direct-hybrid method for computational aeroacoustics (2016)
  • J. Miller, Software Cost Estimation for the Development Effort applied to Multi-node GPU Aeroa- coustics Simulations (2016)
  • L. Liberson, Implementation and validation of boundary conditions for a discontinuous Galerkin- based solver for the acoustic perturbation equations (2014)
  • S. Berger, Implementation and validation of an adaptive hp-refinement method for the discontinuous Galerkin spectral element method (2014)

Bachelor’s Theses

  • L. Christmann, Non-reflecting boundary conditions for computational aeroacoustics based on arti- cifial neural networks (2022)
  • L. Hristozova, Comparison of the discontinuous Galerkin method with SBP-SAT finite difference operators for aeroacoustics problems (2018)
  • P. Antony, Development of a coupled discontinuous Galerkin–finite volume scheme, 2018
  • F. Zechel, Dissipations- und Dispersionseigenschaften der unstetigen Galerkin Spektrale Elemente Methode (2016)
  • A. Niemöller, Comparison of different methods for solving the acoustic perturbation equations (2015)
  • M. Nicolini, Software Cost Estimation of GPU-accelerated Aeroacoustic Simulations with OpenACC (2015)
  • J. Stratmann, Simulating advection-diffusion problems with the discontinuous Galerkin method (2015)
  • A. Marwege, Conservative interpolation methods for nodal discontinuous Galerkin schemes (2015)