Identification of state functions by physically-guided neural networks with physically-meaningful internal layers. - Jacobo Ayensa-Jiménez; Mohamed Hamdy Doweidar; José Antonio Sanz-Herrera; Manuel Doblaré (CoRR, 2020)

On the application of Physically-Guided Neural Networks with Internal Variables to Continuum Problems. - Jacobo Ayensa-Jiménez; Mohamed Hamdy Doweidar; José Antonio Sanz-Herrera; Manuel Doblaré (CoRR, 2020)

TFMLAB: A MATLAB toolbox for 4D traction force microscopy. - Jorge Barrasa-Fano; Apeksha Shapeti; Álvaro Jorge-Peñas; Mojtaba Barzegari; José Antonio Sanz-Herrera; Hans Van Oosterwyck (SoftwareX, 2021)

Understanding glioblastoma invasion using physically-guided neural networks with internal variables. - Jacobo Ayensa-Jiménez; Mohamed Hamdy Doweidar; José Antonio Sanz-Herrera; Manuel Doblaré (PLoS Comput. Biol., 2022)

An in silico study on the influence of extracellular matrix mechanics on vasculogenesis. - Ana Carrasco-Mantis; Tomás Alarcón; José Antonio Sanz-Herrera (Comput. Methods Programs Biomed., 2023)

A mechanobiological model for tumor spheroid evolution with application to glioblastoma: A continuum multiphysics approach. - Ana Carrasco-Mantis; Teodora Randelovic; Héctor Alfonso Castro-Abril; Ignacio Ochoa; Manuel Doblaré; José Antonio Sanz-Herrera (Comput. Biol. Medicine, 2023)

A multiphysics hybrid continuum - agent-based model of in vitro vascularized organoids. - Ana Carrasco-Mantis; Esther Reina-Romo; José Antonio Sanz-Herrera (Comput. Biol. Medicine, 2025)

Multiphysics modeling of 3D traction force microscopy with application to cancer cell-induced degradation of the extracellular matrix. - Alejandro Apolinar-Fernández; Jorge Barrasa-Fano; Hans Van Oosterwyck; José Antonio Sanz-Herrera (Eng. Comput., 2025)