Direkt zum Inhalt

Forschungsthemen

  • Multiscale materials modeling and methods
  • Numerical Homogenization
  • Atomistic-Continuum Coupling
  • Deep learning, Convolutional Neural Networks 
  • Data analysis for digital twins
  • Coupled problems
  • Inelasticity: models and time integration algorithms
  • Error estimation and mesh adaptivity
  • Biomedical engineering: implant design
  • Ultra lightweight materials/structures

Lehre im Sommersemester 2024

  • Machine Learning for Materials Scientists
  • Research Seminar and Journal Club - AI Assisted Programming in Python
  • Personal Programming Project