pyforce: Python Framework for data-driven model Order Reduction of multi-physiCs problEms

pyforce (Python Framework for data-driven model Order Reduction of multi-physiCs problEms) is a Python library implementing Data-Driven Reduced Order Modelling (DDROM) techniques (Riva et al., 2024) for applications to multi-physics problems, mainly in the nuclear engineering world.These techniques have been implemented upon the dolfinx package (Baratta et al., 2023) (currently v0.6.0),part of the FEniCSx project, to handle mesh generation, integral calculation and functions storage.The package is part of the ROSE (Reduced Order modelling with data-driven techniques for multi-phySics problEms) framework, which is one of the main research topics investigated at the ERMETE-Lab: in particular, the focus of the research activities is on mathematical algorithms aimed at reducing the complexity of multi-physics models with a focus on nuclear reactor applications, searching for optimal sensor positions and integrating experimental data to improve the knowledge on the physical systems.