Highlights•Big Data are radically transforming Personalized Medicine.•Multi-omics, images,
device data, and electronic health records represent the main big data types in biomedical …

Artificial intelligence (AI) embedded within digital models of manufacturing processes can be
used to improve process productivity and product quality significantly. The application of …

Abstract The Particle-In-Cell (PIC) method has been developed by Oscar Buneman, Charles
Birdsall, Roger W. Hockney, and John Dawson in the 1950s and, with the advances of …

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

SfePy (simple finite elements in Python) is a software for solving various kinds of problems
described by partial differential equations in one, two, or three spatial dimensions by the …

We discuss scientific features and computational performance of kilometre-scale global
weather and climate simulations, considering the Icosahedral Non-hydrostatic (ICON) model …

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) …

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 …

This review discusses the lattice Boltzmann–particle dynamics (LBPD) multiscale paradigm
for the simulation of complex states of flowing matter at the interface between physics …

На базе анализа мирового опыта и обобщения результатов собственных
исследований авторов определены направления развития проектирования подземных …