Skip to main content
To KTH's start page

Numerical Methods

The research in numerical methods combines fundamental research in mathematics and computer science with applied research in interdisciplinary projects across different research fields, and in collaboration with industry and society.

The research in numerical methods combines fundamental research in mathematics and computer science with applied research in interdisciplinary projects across different research fields, and in collaboration with industry and society. Particular focus is on partial differential equations (PDE), adaptive finite element methods (AFEM), and high performance computing (HPC). Modelling and high fidelity simulations based on PDE/AFEM/HPC are used e.g. for digital twins and virtual prototyping of vehicles, aeroplanes, and renewable energy technology, forecasting of wind and air pollution in the built environment for sustainable urban planning, and new computational tools for diagnosis and treatment in clinical medicine. High fidelity simulations are also used as training data for machine learning algorithms and reduced order models.

Researchers

Johan Hoffman
Johan Hoffman professor
Johan Jansson
Johan Jansson associate professor