64 citations · 101 across the 6 of their papers we have counts for
6 papers
Integrating a Python Dynamical core into ICON
Mauro Bianco, Till Ehrengruber, Enrique González Paredes +19
The transition of Earth-system models to exascale is often hindered by rigid, monolithic Fortran codebases and maintenance-heavy compiler directives. While high-level DSLs offer a…
Palabos-npFEM: Software for the Simulation of Cellular Blood Flow (Digital Blood)
Christos Kotsalos, Jonas Latt, Bastien Chopard
Palabos-npFEM is a computational framework for the simulation of blood flow with fully resolved constituents. The software resolves the trajectories and deformed state of blood cel…
Personalized pathology test for Cardio-vascular disease: Approximate Bayesian computation with discriminative summary statistics learning
Ritabrata Dutta, Karim Zouaoui-Boudjeltia, Christos Kotsalos +6
Cardio/cerebrovascular diseases (CVD) have become one of the major health issue in our societies. But recent studies show that the present pathology tests to detect CVD are ineffec…
Anomalous Platelet Transport & Fat-Tailed Distributions
Christos Kotsalos, Karim Zouaoui Boudjeltia, Ritabrata Dutta +2
The transport of platelets in blood is commonly assumed to obey an advection-diffusion equation. Here we propose a disruptive view, by showing that the random part of their velocit…
Digital Blood in Massively Parallel CPU/GPU Systems for the Study of Platelet Transport
Christos Kotsalos, Jonas Latt, Joel Beny +1
We propose a highly versatile computational framework for the simulation of cellular blood flow focusing on extreme performance without compromising accuracy or complexity. The too…
Bridging the computational gap between mesoscopic and continuum modeling of red blood cells for fully resolved blood flow
Christos Kotsalos, Jonas Latt, Bastien Chopard
We present a computational framework for the simulation of blood flow with fully resolved red blood cells (RBCs) using a modular approach that consists of a lattice Boltzmann solve…