For over three decades, the front-capturing level-set method has demonstrated its prowess
for the simulation, at the mesoscopic scale, of numerous mechanisms in the context of …

The steepest descent method is frequently used for neural network tuning. Mini-batches are
commonly used to get better tuning of the steepest descent in the neural network …

We propose in this work an adaptive Eulerian framework for the simulation of both boiling
and evaporation phenomena occurring at the interface of a heated 3D solid immersed in a …

In this article, a strategy for efficient computational cost reduction of numerical simulations for
complex industrial applications is developed and evaluated on multiphysics problems. The …

In this work, we present a new a posteriori error estimator based on the Variational
Multiscale method for anisotropic adaptive fluid mechanics problems. The general idea is to …

Aerodynamic characteristics of various geometries are predicted using a finite element
formulation coupled with several numerical techniques to ensure stability and accuracy of …

The Radial Basis Function (RBF) technique is an interpolation method that produces high-
quality unstructured adaptive meshes. However, the RBF-based boundary problem …

The finite element discretization of computational physics problems frequently involves the
manual generation of an initial mesh and the application of adaptive mesh refinement …

Computational fluid dynamics (CFD) is the main field of computational mechanics that has
historically benefited from advances in high-performance computing. Highperformance …

In this work, we develop a new mesh adaptation technique to solve the thermal problem of
the impingement jet cooling. To do so, we start by proposing a subscales error estimator …