Home page of Jad Dabaghi

Publications

J. Dabaghi and V. Ehrlacher, Structure-preserving reduced order model for parametric cross-diffusion systems. Accepted for publications in ESAIM: Mathematical Modelling and Numerical Analysis (2024). preprint .

J. Dabaghi, V. Ehrlacher, and C. Strossner Tensor approximation of the self-diffusion matrix of tagged particle processes. Journal of Computational Physics (2023). Journal version . preprint .

J. Dabaghi, Y. Maday, and A. Zoia, A hybrid parareal Monte-Carlo algorithm for parabolic problems. J. Comput. Appl. Math. 420 (2023), 114800. Journal version . preprint .

J. Dabaghi, V. Ehrlacher, and C. Strossner, Computation of the self-diffusion coefficient with low-rank tensor methods: application to the simulation of a cross-diffusion system. Esaim: Proceedings and Surveys, (2022).

J. Dabaghi, and G. Delay, A unified framework for high-order numerical discretizations of variational inequalities. Comput. Math. Appl. 92, (2021), 62-75. Journal version , preprint .

J. Dabaghi, V. Martin, and M. Vohralik, Adaptive inexact semismooth Newton methods for the contact problem between two membranes. J. Sci. Comput. 84 (2020), 28. Journal version , preprint .

J. Dabaghi, V. Martin, and M. Vohralik, A posteriori estimates distinguishing the error components and adaptive stopping criteria for numerical approximations of parabolic variational inequalities. Comput. Methods Appl. Mech. Engrg. 367 (2020), 113105. Journal version , preprint .

I. Ben Gharbia, J. Dabaghi, V. Martin, and M. Vohralik, A posteriori error estimates and adaptive stopping criteria for a compositional two-phase flow with nonlinear complementarity constraints. Comput. Geosci. 24 (2020), 1031-1055. Journal version , preprint .

Papers in preparation

J. Dabaghi, Y. Maday, and A. Zoia, A hybrid parareal algorithm for the Boltzmann equation in neutronics, in preparation (2023).

J. Dabaghi, V. Ehrlacher, and C. Strossner, A finite volume scheme for the resolution of hydrodynamic limits of multi-species exclusion processes, in preparation (2022).