AUTHOR=Giudicelli Guillaume L. , Kong Fande , Stogner Roy , Harbour Logan , Gaston Derek , Lindsay Alexander , Prince Zachary , Charlot Lise , Terlizzi Stefano , Eltawila Mahmoud , Novak April 

TITLE=Data transfers for nuclear reactor multiphysics studies using the MOOSE framework

JOURNAL=Frontiers in Nuclear Engineering

VOLUME=Volume 4 - 2025

YEAR=2025

URL=https://www.frontiersin.org/journals/nuclear-engineering/articles/10.3389/fnuen.2025.1611173

DOI=10.3389/fnuen.2025.1611173

ISSN=2813-3412

ABSTRACT=High fidelity simulations of nuclear systems generally require a multi-dimensional representation of the system. Advanced nuclear reactor cores are governed by multiple physical phenomena which should be all be resolved, and the coupling of these physics would also need to be resolved spatially in a high-fidelity approach, while lower fidelity may leverage integrated quantities for the coupling instead. Performing a spatially resolved multiphysics simulation can be done on a single mesh with a single coupled numerical system, but this requires catering to each equations’ time and spatial discretization needs. Instead, each physics, usually neutronics, thermal hydraulics and fuel performance, are solved individually with the discretization they require, and the equations are coupled by transferring fields between each solver. In our experience coupling applications within the MOOSE framework, mostly for advanced nuclear reactor analysis, there are several challenges to this approach, from non-conservation problems with dissimilar meshes, to losses in order of spatial accuracy. This paper presents the field transfer capabilities implemented in MOOSE, and numerous technical details such as mapping heuristics, conservation techniques and parallel algorithms. Examples are drawn from nuclear systems analysis cases to illustrate the techniques.