Dr. Stephan Simonis Stephan Simonis

Dr. Stephan Simonis

  • Englerstr. 2
    76131 Karlsruhe

I work at the intersection of applied mathematics, scientific computing, and engineering, focusing on the development of efficient numerical methods for complex multi-physics problems described by PDEs. I combine high-performance computing, uncertainty quantification, and machine learning to enable large-scale simulations and data-driven exploration of high-dimensional parameter spaces. Currently, I hold a DAAD PRIME postdoc fellowship within the CAMLab at ETH Zürich. At KIT, I lead the LBRG Mathematical Modeling and Numerics Lab.

Funding, prizes, etc.: ERASMUS+ EQF7 (2016 to 2017), Contributor of OpenLB (since 2018), DAAD PPP mobility (2019), KIT Faculty Teaching Award (2021), Summa Cum Laude for dissertation at KIT (2023), Oberwolfach Leibniz Graduate Student (2024), ZEISS Collaboration Catalyst (2024), FALCON (deputy member steering committee since 2024), Examples and Counterexamples (associate editor since 2024), NHR Normal compute grant (2025 to 2026), DAAD PRIME (2025).

Lectures

Titel Links Typ
Wintersemester 2025/26
Seminar (Modelling, Algorithms, Simulation) Seminar (S)
Sommersemester 2025
Computational Fluid Dynamics and Simulation Lab Praktikum (P)
Wintersemester 2024/25
Parallel Computing Vorlesung (V)
Tutorial for 0100055 (Parallel Computing) Übung (Ü)
Sommersemester 2024
Computational Fluid Dynamics and Simulation Lab Praktikum (P)

Publications


2025
  1. A digital urban twin enabling interactive pollution predictions and enhanced planning
    Teutscher, D.; Bukreev, F.; Kummerländer, A.; Simonis, S.; Bächler, P.; Rezaee, A.; Hermansdorfer, M.; Krause, M. J.
    2025. Building and Environment, 281, 113093. doi:10.1016/j.buildenv.2025.113093 Full textFull text of the publication as PDF document 
  2. Limit consistency of lattice Boltzmann equations
    Simonis, S.; Krause, M. J.
    2025. ESAIM: Mathematical Modelling and Numerical Analysis, 59 (3), 1271–1299. doi:10.1051/m2an/2025026 Full textFull text of the publication as PDF document 
  3. Benchmark Simulation of Laminar Reactive Micromixing Using Lattice Boltzmann Methods
    Bukreev, F.; Kummerländer, A.; Jeßberger, J.; Teutscher, D.; Simonis, S.; Bothe, D.; Krause, M. J.
    2025. AIAA Journal, 63 (4), 1295–1304. doi:10.2514/1.J064234 
  4. Homogenized lattice Boltzmann methods for fluid flow through porous media – Part I: Kinetic model derivation
    Simonis, S.; Hafen, N.; Jeßberger, J.; Dapelo, D.; Thäter, G.; Krause, M. J.
    2025. ESAIM: Mathematical Modelling and Numerical Analysis, 59 (2), 789–813. doi:10.1051/m2an/2025005 Full textFull text of the publication as PDF document 
  5. A hybrid Lattice-Boltzmann model for hydro-electrochemical modeling and sensitivity analysis of crystallization potential in nanoporous media. Part I: simulation model
    Bukreev, F.; Kummerländer, A.; Jeßberger, J.; Teutscher, D.; Ito, S.; Simonis, S.; Dapelo, D.; Nezhad, M. M.; Nirschl, H.; Krause, M. J.
    2025. Engineering with Computers. doi:10.1007/s00366-025-02216-x Full textFull text of the publication as PDF document 
  6. A hybrid Lattice-Boltzmann model for hydro-electrochemical modeling and sensitivity analysis of crystallization potential in nanoporous media. Part II: application to the identification and quantification of influencing factors of phosphate saturation
    Bukreev, F.; Kummerländer, A.; Jeßberger, J.; Teutscher, D.; Ito, S.; Simonis, S.; Dapelo, D.; Nezhad, M. M.; Nirschl, H.; Krause, M. J.
    2025. Engineering with Computers, 1. doi:10.1007/s00366-025-02217-w Full textFull text of the publication as PDF document 
  7. Predicting Filter Medium Performances in Chamber Filter Presses with Digital Twins Using Neural Network Technologies
    Teutscher, D.; Weber-Carstanjen, T.; Simonis, S.; Krause, M. J.
    2025. Applied Sciences (Switzerland), 15 (9), 4933. doi:10.3390/app15094933 Full textFull text of the publication as PDF document 
2024
  1. A stochastic Galerkin lattice Boltzmann method for incompressible fluid flows with uncertainties
    Zhong, M.; Xiao, T.; Krause, M. J.; Frank, M.; Simonis, S.
    2024. Journal of Computational Physics, 517, 113344. doi:10.1016/j.jcp.2024.113344 Full textFull text of the publication as PDF document 
  2. Identification of reaction rate parameters from uncertain spatially distributed concentration data using gradient-based PDE constrained optimization
    Ito, S.; Jeßberger, J.; Simonis, S.; Bukreev, F.; Kummerländer, A.; Zimmermann, A.; Thäter, G.; Pesch, G. R.; Thöming, J.; Krause, M. J.
    2024. Computers and Mathematics with Applications, 167, 249 – 263. doi:10.1016/j.camwa.2024.05.026 Full textFull text of the publication as PDF document 
  3. Binary fluid flow simulations with free energy lattice Boltzmann methods
    Simonis, S.; Nguyen, J.; Avis, S. J.; Dörfler, W.; Krause, M. J.
    2024. Discrete and Continuous Dynamical Systems - S, 17 (11), 3278–3294. doi:10.3934/dcdss.2023069 Full textFull text of the publication as PDF document 
2023
  1. Consistent lattice Boltzmann methods for the volume averaged Navier–Stokes equations
    Bukreev, F.; Simonis, S.; Kummerländer, A.; Jeßberger, J.; Krause, M. J.
    2023. Journal of Computational Physics, 490, Art.-Nr.: 112301. doi:10.1016/j.jcp.2023.112301 
  2. Lattice Boltzmann Methods for Partial Differential Equations. PhD dissertation
    Simonis, S.
    2023, September 13. Karlsruher Institut für Technologie (KIT). doi:10.5445/IR/1000161726 Full textFull text of the publication as PDF document 
  3. Constructing relaxation systems for lattice Boltzmann methods
    Simonis, S.; Frank, M.; Krause, M. J.
    2023. Applied Mathematics Letters, 137, Art.-Nr.: 108484. doi:10.1016/j.aml.2022.108484 
  4. Homogenized lattice Boltzmann methods for fluid flow through porous media – part I: kinetic model derivation
    Simonis, S.; Hafen, N.; Jessberger, J.; Dapelo, D.; Thäter, G.; Krause, M. J.
    2023. doi:10.48550/arXiv.2310.14746 
2021
  1. Linear and brute force stability of orthogonal moment multiple-relaxation-time lattice Boltzmann methods applied to homogeneous isotropic turbulence
    Simonis, S.; Haussmann, M.; Kronberg, L.; Dörfler, W.; Krause, M. J.
    2021. Philosophical transactions. Series A, Mathematical, physical, and engineering sciences, 379 (2208), Art.-Nr.: 20200405. doi:10.1098/rsta.2020.0405 
  2. Fluid–structure interaction simulation of a coriolis mass flowmeter using a lattice boltzmann method
    Haussmann, M.; Reinshaus, P.; Simonis, S.; Nirschl, H.; Krause, M. J.
    2021. Fluids, 6 (4), 167. doi:10.3390/FLUIDS6040167 Full textFull text of the publication as PDF document 
  3. Lattice-Boltzmann coupled models for advection–diffusion flow on a wide range of Péclet numbers
    Dapelo, D.; Simonis, S.; Krause, M. J.; Bridgeman, J.
    2021. Journal of Computational Science, 51, Art.-Nr.: 101363. doi:10.1016/j.jocs.2021.101363 Full textFull text of the publication as PDF document 
  4. Numerical evaluation of thermal comfort using a large eddy lattice Boltzmann method
    Siodlaczek, M.; Gaedtke, M.; Simonis, S.; Schweiker, M.; Homma, N.; Krause, M. J.
    2021. Building and Environment, 192, Art.-Nr.: 107618. doi:10.1016/j.buildenv.2021.107618 
  5. OpenLB—Open source lattice Boltzmann code
    Krause, M. J.; Kummerländer, A.; Avis, S. J.; Kusumaatmaja, H.; Dapelo, D.; Klemens, F.; Gaedtke, M.; Hafen, N.; Mink, A.; Trunk, R.; Marquardt, J. E.; Maier, M.-L.; Haussmann, M.; Simonis, S.
    2021. Computers and mathematics with applications, 81, 258–288. doi:10.1016/j.camwa.2020.04.033 Full textFull text of the publication as PDF document