Mechanics-related tasks often present unique challenges in achieving accurate geometric
and physical representations, particularly for non-uniform structures. Graph neural networks …

Numerical simulations are ubiquitous in mathematics and computational science. Several
industrial and clinical applications entail modeling complex multiphysics systems that evolve …

In the last few decades, multiscale modelling has emerged as one of the dominant
modelling paradigms in many areas of science and engineering. Its rise to dominance is …

The study of complex multiscale flows (Groen et al., 2014), like for example the motion of
small-scale turbulent eddies over large aerodynamic structures (Jofre & Doostan, 2022) …

We expect that multiscale simulations will be one of the main high performance computing
workloads in the exascale era. We propose multiscale computing patterns as a generic …

Today's multi-physics simulations suffer from a lack of either flexibility or scalability. Only
reconciling both will allow for translating the higher compute power of the forthcoming exa …

Abstract We present the Multiscale Coupling Library and Environment: MUSCLE 2. This
multiscale component-based execution environment has a simple to use Java, C++, C …

An essential ingredient for the discretization and numerical solution of coupled multiphysics
or multiscale problems is stable and efficient techniques for the transfer of discrete fields …

Porous materials are breeding beds of multiphysical processes due to their porous,
multiphase, and multicomponent nature. This chapter is intended to explain the strong …

One of the greatest challenges in biomedicine is to get a unified view of observations made
from the molecular up to the organism scale. Towards this goal, multiscale models have …