The FaReX project aims at developing new numerical methods for the efficient simulation of complex multi-scale and multiphysics problems, such as fluid-structure interaction or phase transition, using non-matching modeling techniques, immersed methods and model reduction techniques, also through machine learning. The involved units (SISSA, PoliTO, UniBS) work jointly on numerical analysis, complexity reduction and open source software development.

The aim of the FaReX project is to reduce computational complexity and enable efficient simulations of complex problems, with applications in cardiovascular medicine, manufacturing process optimization, environmental remediation and geothermal energy production.

The main expected results are the development of new numerical methods for complex geometric domains, the reduction of computational complexity through reduced models and machine learning techniques, and the development of open source software (e.g., through the extension of libraries such as ITHACA-FV, RBniCS, PyGeM). A dissemination of the results within the scientific community is also planned.

PROJECT DURATION: 24 months

BUDGET: 297.000 euros