27 citations · 35 across the 3 of their papers we have counts for
3 papers
q-bio.QM2026
A Physics-Informed Neural Network Approach to Multiphysics Continuum Modeling of Cancer Growth via Chemo-fluid Coupling
Celia Taboada, Pedro Navas, Miguel Molinos
Tumor progression is an inherently multiphysical phenomenon in which interstitial fluid dynamics, biochemical transport, and cellular mechanics interact across multiple spatiotempo…
math.NA2026★ 27 cited
An implicit locking-free B-spline Material Point Method for large strain geotechnical modelling
Mian Xie, Pedro Navas, Susana López-Querol
The Material Point Method (MPM) has drawn great attention in the numerical modelling of large deformation, geotechnical problems. The popularity of MPM is mainly because its formul…
math.NA2024★ 8 cited
A Stabilised Semi-Implicit Double-Point Material Point Method for Soil-Water Coupled Problems
Mian Xie, Pedro Navas, Susana Lopez-Querol
A semi-implicit two-phase double-point Material Point Method (MPM) formulation, based on the incremental fractional-step method to model large deformation geotechnical problems has…