Modelling of Neuroblast Chemotaxis Migration towards the Olfactory Bulb. - Daniel Acosta-Soba; Francisco Guillén-González; N. Ortega-Román; José Rafael Rodríguez-Galván (CoRR, 2022)

Property-preserving numerical approximations of a Cahn-Hilliard-Navier-Stokes model with variable densities and degenerate mobility. - Daniel Acosta-Soba; Francisco Guillén-González; José Rafael Rodríguez-Galván; Jin Wang (CoRR, 2023)

An upwind DG scheme preserving the maximum principle for the convective Cahn-Hilliard model. - Daniel Acosta-Soba; Francisco Guillén-González; José Rafael Rodríguez-Galván (Numer. Algorithms, 2023)

An Unconditionally Energy Stable and Positive Upwind DG Scheme for the Keller-Segel Model. - Daniel Acosta-Soba; Francisco Guillén-González; José Rafael Rodríguez-Galván (J. Sci. Comput., 2023)

A structure-preserving upwind DG scheme for a degenerate phase-field tumor model. - Daniel Acosta-Soba; Francisco Guillén-González; José Rafael Rodríguez-Galván (Comput. Math. Appl., 2023)

A Novel Methodology for Modelling First and Second Order Phase Transformations - Thermodynamic Aspects, Variational Methods and Applications. - Wolfgang Flachberger; Thomas Antretter; Daniel Acosta-Soba; Swaroop Gaddikere-Nagaraja; Silvia Leitner; Manuel Petersmann; Jiri Svoboda (CoRR, 2024)

On a linear DG approximation of chemotaxis models with damping gradient nonlinearities. - Daniel Acosta-Soba; Alessandro Columbu; José Rafael Rodríguez-Galván (CoRR, 2025)