Self-learning locally-optimal hypertuning using maximum entropy, and comparison of machine learning approaches for estimating fatigue life in composite materials. - Ismael Ben-Yelun; Miguel Diaz-Lago; Luis Saucedo-Mora; Miguel Angel Sanz; Ricardo Callado; Francisco Javier Montáns (CoRR, 2022)

A simple agent-based model to simulate 3D tumor-induced angiogenesis considering the evolution of the hypoxic conditions of the cells. - José María Benítez; Luis García-Mozos; Anastasio P. Santos; Francisco Javier Montáns; Luis Saucedo-Mora (Eng. Comput., 2022)

An elastic properties-based topology optimization algorithm for linear orthotropic, functionally graded materials. - Ismael Ben-Yelun; Víctor Riera; Luis Saucedo-Mora; Miguel Angel Sanz; Francisco Javier Montáns (CoRR, 2023)

On the data-driven description of lattice materials mechanics. - Ismael Ben-Yelun; Luis Irastorza-Valera; Luis Saucedo-Mora; Francisco Javier Montáns; Francisco Chinesta (CoRR, 2023)

3DMECMET: A package to fill with metamaterials CAD designs and export them to structural calculation softwares and 3D printable formats. - Ismael Ben-Yelun Insenser; Elemer José San Miguel Niddam; Luis Saucedo-Mora; Miguel Ángel Sanz Gómez; José María Benítez Baena; Francisco Montans Leal (Softw. Impacts, 2023)

A simple agent-based hybrid model to simulate the biophysics of glioblastoma multiforme cells and the concomitant evolution of the oxygen field. - Luis Saucedo-Mora; Miguel Angel Sanz; Francisco Javier Montáns; José María Benítez (Comput. Methods Programs Biomed., 2024)

Multiscale model with relaxed boundary conditions for metamaterial calculations. - Antonio Tabanera Manzanares; Luis Saucedo-Mora; Miguel Ángel Sanz Gómez; Francisco Montans Leal (Softw. Impacts, 2024)

General form of the Gauss-Seidel equation to linearly approximate the Moore-Penrose pseudoinverse in random non-square systems and high order tensors. - Luis Saucedo-Mora; Luis Irastorza-Valera (CoRR, 2025)