activity
20192026
most citedReconstructing Haemodynamics Quantities of Interest from Doppler Ultrasound Imaging

15 citations · 34 across the 15 of their papers we have counts for

collaborators
Showing 2025Show all

5 papers · 1 filter

math.NA2025

Improving performance estimation of a PCM-integrated solar chimney through reduced-order based data assimilation

Diego R. Rivera, Ernesto Castillo, Felipe Galarce +1

This study evaluates a data assimilation framework based on reduced-order modeling (ROM-DA), complemented by a hybrid data-filling strategy, to reconstruct dynamic temperature fiel…

math.NA2025

Accelerated implicitization: Robust fixed-point iterations arising from an explicit scheme

Nicolas A. Barnafi, Felipe Galarce, Pablo Brubeck

This work proposes a general strategy for solving possibly nonlinear problems arising from implicit time discretizations as a sequence of explicit solutions. The resulting sequence…

math.NA2025

Estimation of Hemodynamic Parameters via Physics Informed Neural Networks including Hematocrit Dependent Rheology

Moises Sierpe, Ernesto Castillo, Hernan Mella +1

Physics-Informed Neural Networks (PINNs) show significant potential for solving inverse problems, especially when observations are limited and sparse, provided that the relevant ph…

math.NA2025★ 1 cited

Data assimilation performed with robust shape registration and graph neural networks: application to aortic coarctation

Francesco Romor, Felipe Galarce, Jan Brüning +2

Image-based, patient-specific modelling of hemodynamics can improve diagnostic capabilities and provide complementary insights to better understand the hemodynamic treatment outcom…

physics.flu-dyn2025

A parametric study of the pipeline hammer phenomenon in plastic Bingham slurry flows using the finite element method

Felipe Galarce, Francisco Martinez

We conduct a numerical study of the transient phenomenon in pipelines transporting plastic Bingham slurry flows, using a lowest-order finite element method (FEM). While most pipeli…