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20212026
most citedAn upwind DG scheme preserving the maximum principle for the convective Cahn-Hilliard model

20 citations · 50 across the 8 of their papers we have counts for

collaborators

8 papers

math.NA2026

Structure-preserving upwind DG scheme for a Cahn-Hilliard-Darcy model of tumor growth

Daniel Acosta-Soba, Francisco Guillén-González, J. Rafael Rodríguez-Galván

In this work, we develop a structure-preserving numerical scheme for a Cahn-Hilliard-Darcy model that describes tumor growth in a fluid-saturated porous medium. First, we derive a…

math.NA2025

On a linear DG approximation of chemotaxis models with damping gradient nonlinearities

Daniel Acosta-Soba, Alessandro Columbu, J. Rafael Rodríguez-Galván

In this work we present a novel linear and positivity preserving upwind discontinuous Galerkin (DG) approximation of a class of chemotaxis models with damping gradient nonlineariti…

math.AP2024

Dissipative gradient nonlinearities prevent -formations in local and nonlocal attraction-repulsion chemotaxis models

Tongxing Li, Daniel Acosta Soba, Alessandro Columbu +1

We study some attraction repulsion chemotaxis models, characterized by nonlinearities laws for the diffusion of the cell density, and for the chemosensitivities and the production…

math.NA2023★ 8 cited

Property-preserving numerical approximation of a Cahn-Hilliard-Navier-Stokes model with variable density and degenerate mobility

Daniel Acosta-Soba, Francisco Guillén-González, J. Rafael Rodríguez-Galván +1

In this paper, we present a new computational framework to approximate a Cahn-Hilliard-Navier-Stokes model with variable density and degenerate mobility that preserves the mass of…

math.NA2023★ 5 cited

A structure-preserving upwind DG scheme for a degenerate phase-field tumor model

Daniel Acosta-Soba, Francisco Guillén-González, J. Rafael Rodríguez Galván

In this work, we present a modification of the phase-field tumor growth model given in [26] that leads to bounded, more physically meaningful, volume fraction variables. In additio…

math.NA2022★ 2 cited

Mathematical Modelling of Neuroblast Chemotaxis Migration towards the Olfactory Bulb

Daniel Acosta-Soba, Carmen Castro-González, Noelia Geribaldi-Doldán +5

This article is devoted to the mathematical modeling of migration of neuroblasts, precursor cells of neurons, along the pathway they usually follow before maturing. This pathway is…

math.NA2022★ 15 cited

An unconditionally energy stable and positive upwind DG scheme for the Keller-Segel model

Daniel Acosta-Soba, Francisco Guillén-González, J. Rafael Rodríguez-Galván

The well-suited discretization of the Keller-Segel equations for chemotaxis has become a very challenging problem due to the convective nature inherent to them. This paper aims to…

math.NA2021★ 20 cited

An upwind DG scheme preserving the maximum principle for the convective Cahn-Hilliard model

Daniel Acosta-Soba, Francisco Guillén-González, J. Rafael Rodríguez-Galván

The design of numerical approximations of the Cahn-Hilliard model preserving the maximum principle is a challenging problem, even more if considering additional transport terms. In…