Project description
Improved kinetic models for real-world applications
Kinetic models drive forward our understanding of the macroscopic properties of particles in a wide range of scientific and engineering applications. Real-world applications require highly accurate kinetic models that span a wide range of length and temporal scales. The EU-funded FASTKiT project plans to develop numerical methods that are fully adaptive in both space and time to challenging multiscale kinetic models and design software to compute solutions. Improved kinetic models generated by FASTKiT will set the stage for the development of next-generation reactors and space exploration technologies.
Objective
Kinetic models are omnipresent in a wide range of scientific and engineering applications. They are derived from the evolution of a particle distribution in position-velocity phase space, and appear, for instance, in the modeling of fusion energy reactors and atmospheric reentry of spacecraft, where classical fluid equations are inaccurate. Further technological progress of these applications requires significant advances in modeling and simulation of kinetic models. The underlying kinetic equations pose severe simulation challenges, due to their inherent high-dimensionality and the presence of a wide range of time scales.
The increased dimensionality in velocity directions can be addressed by an extended set of fluid quantities via moment models or the maximum entropy method. To deal with the stiffness of the equations, asymptotic-preserving time discretization methods need to be used. Since both the stiffness and the accuracy of a kinetic model depend on space and time, the design of numerical methods incorporating fully integrated space-time adaptivity is crucial to allow these methods to be efficiently used in real-world applications.
In this action, the applicant will integrate his expertise on moment models with the experience on projective integration schemes available at the host institution, and extend their applicability towards a wide range of kinetic models hereby achieving the following objectives:
- Develop fully space-time adaptive numerical scheme for kinetic models
- Implement software for space-time adaptive solution of kinetic models
- Compute numerical solutions for real-world applications
The results of FASTKiT will constitute a major step forward in the adaptive simulation of kinetic models. FASTKiT will contribute to the development of technologies for next generation reactors and space exploration efforts, in line with Horizon 2020, while the applicant will benefit from an innovative environment to receive training and transferable skills.
Fields of science (EuroSciVoc)
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
CORDIS classifies projects with EuroSciVoc, a multilingual taxonomy of fields of science, through a semi-automatic process based on NLP techniques. See: https://op.europa.eu/en/web/eu-vocabularies/euroscivoc.
- natural sciencesphysical sciencesastronomyspace exploration
- engineering and technologymechanical engineeringvehicle engineeringaerospace engineeringastronautical engineeringspacecraft
- natural sciencesmathematicsapplied mathematicsnumerical analysis
- natural sciencescomputer and information sciencessoftwaresoftware applicationssimulation software
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Programme(s)
Funding Scheme
MSCA-IF-EF-ST - Standard EFCoordinator
3000 Leuven
Belgium