A data-driven learned discretization approach in finite volume schemes for hyperbolic conservation laws and varying boundary conditions

Computers & Fluids 2026

View at publisher

Authors: Guillaume de Romemont, Florent Renac, J. Nunez, Denis Gueyffier, F. Chinesta

DOI: 10.1016/j.compfluid.2026.106978

Cited by: 2

References: 41

Fields of Study & Subjects

Model Reduction and Neural Networks Advanced Numerical Methods in Computational Mathematics Computational Fluid Dynamics and Aerodynamics

References 41