Felix Bott


Research interests

Mesh free discretisation schemes for solid mechanics problems

  • Moving Kriging Collocation
  • Peridynamics
  • Probabilistic Numerics (probabilistic meshless methods)

Probabilistic methods for uncertainty quantification and inverse analyses

Publications and conference contributions

  • Bott, F.S., Gee, M.W.: A strong form based moving Kriging collocation method for the numerical solution of partial differential equations with mixed boundary conditions. Int J Numer Methods Eng. 2020; 1–27. https://doi.org/10.1002/nme.6553
  • Bott, F.S., Gee, M.W.: Investigating the Potential of a Mesh-Free, Moving Kriging Based Collocation Scheme for Solid Mechanics Problems, VIII International Conference on Coupled Problems in Science and Engineering, Sitges, Spain, June 03-05, 2019


  • Engineering Mechanics 2 (MSE) (main assistant: SS ’18, SS ’19)
  • Engineering Mechanics 1 (MSE) (main assistant: WS ’18/19)

Supervised student projects/ theses

  • Peridynamics-Based Continuum Models and Their Numerical Solution, Master's Thesis, WS ’18/19
  • Visualization of Eigenmodes in Linear(ized) Dynamical Systems,  MSE Research Internship, SS ’19
  • Realisation of Video Visualisations of Impact Phenomena in Matlab, MSE Researchinternship SS ’19
  • Experimental Determination and Mathematical Modelling of Guidewire- and Sheath Bending Stiffnesses for Endovascular Interventions, Bachelor's Thesis, WS ’19/20
  • Supervision of Student assistant projects concerned with the realisation of novel teaching materials in Engineering Mechanics


since 09.2020 Research associate, PainLabMunich, Rechts der Isar Hospital, Technische Universität München
04.2018 - 03.2020          Research associate and teaching assistant, Mechanics & High Performance Computing Group, Technische Universität München
02.2019 Master de Sciences, Technologies, Santé, Mention Mechanique: Modélisation Mulitphysique Mulitéchelle des Matériaux et des Structures
04.2018 Master of Science (M.Sc.): Mechanical Engineering, Technische Universität München