Daily Archives: February 26, 2024

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New MOX Report on “Discovering Artificial Viscosity Models for Discontinuous Galerkin Approximation of Conservation Laws using Physics-Informed Machine Learning”

A new MOX Report entitled “Discovering Artificial Viscosity Models for Discontinuous Galerkin Approximation of Conservation Laws using Physics-Informed Machine Learning” by Caldana, M.; Antonietti P. F.; Dede’ L. has appeared in the MOX Report Collection. Check it out here: https://www.mate.polimi.it/biblioteca/add/qmox/21-2024.pdf Abstract: Finite element-based high-order solvers of conservation laws offer large […]