2 papers
math.NA2025
Data-Driven Adaptive Gradient Recovery for Unstructured Finite Volume Computations
G. de Romémont, F. Renac, F. Chinesta +2
We present a novel data-driven approach for enhancing gradient reconstruction in unstructured finite volume methods for hyperbolic conservation laws, specifically for the 2D Euler…
math.NA2024
A data-driven learned discretization approach in finite volume schemes for hyperbolic conservation laws and varying boundary conditions
Guillaume de Romémont, Florent Renac, Jorge Nunez +1
This paper presents a data-driven finite volume method for solving 1D and 2D hyperbolic partial differential equations. This work builds upon the prior research incorporating a dat…