Multi-compartment head modeling in EEG: Unstructured boundary-fitted tetra meshing with subcortical structures
This paper introduces an automated approach for generating a finite element (FE)
discretization of a multi-compartment human head model for electroencephalographic (EEG) …
discretization of a multi-compartment human head model for electroencephalographic (EEG) …
[HTML][HTML] An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD
The magnetohydrodynamics (MHD) equations are continuum models used in the study of a
wide range of plasma physics systems, including the evolution of complex plasma dynamics …
wide range of plasma physics systems, including the evolution of complex plasma dynamics …
Universal AMG accelerated embedded boundary method without small cell stiffness
We develop a universally applicable embedded boundary finite difference method, which
results in a symmetric positive definite linear system and does not suffer from small cell …
results in a symmetric positive definite linear system and does not suffer from small cell …
[HTML][HTML] A discontinuous Petrov-Galerkin method for compressible Navier-Stokes equations in three dimensions
W Rachowicz, A Zdunek, W Cecot - Computers & Mathematics with …, 2021 - Elsevier
Abstract Application of a Discontinuous Petrov-Galerkin (DPG) method for simulation of
compressible viscous flows in three dimensions is presented. The approach enables …
compressible viscous flows in three dimensions is presented. The approach enables …
An adaptive Newton-based free-boundary Grad-Shafranov solver
Equilibriums in magnetic confinement devices result from force balancing between the
Lorentz force and the plasma pressure gradient. In an axisymmetric configuration like a …
Lorentz force and the plasma pressure gradient. In an axisymmetric configuration like a …
A Parallel Cut-Cell Algorithm for the Free-Boundary Grad--Shafranov Problem
A parallel cut-cell algorithm is described to solve the free-boundary problem of the Grad--
Shafranov equation. The algorithm reformulates the free-boundary problem in an irregular …
Shafranov equation. The algorithm reformulates the free-boundary problem in an irregular …
[HTML][HTML] Scalable implicit solvers with dynamic mesh adaptation for a relativistic drift-kinetic Fokker–Planck–Boltzmann model
In this work we consider a relativistic drift-kinetic model for runaway electrons along with a
Fokker–Planck operator for small-angle Coulomb collisions, a radiation damping operator …
Fokker–Planck operator for small-angle Coulomb collisions, a radiation damping operator …
A hands-on introduction to Physics-Informed Neural Networks for solving partial differential equations with benchmark tests taken from astrophysics and plasma …
H Baty - arXiv preprint arXiv:2403.00599, 2024 - arxiv.org
I provide an introduction to the application of deep learning and neural networks for solving
partial differential equations (PDEs). The approach, known as physics-informed neural …
partial differential equations (PDEs). The approach, known as physics-informed neural …
A Highly Accurate Difference Method for Approximating the Solution and Its First Derivatives of the Dirichlet Problem for Laplace's Equation on a Rectangle
AA Dosiyev, H Sarikaya - Mediterranean Journal of Mathematics, 2021 - Springer
A pointwise error estimation of the form O (ρ h^ 8), O (ρ h 8), h is the mesh size, for the
approximate solution of the Dirichlet problem for Laplace's equation on a rectangular …
approximate solution of the Dirichlet problem for Laplace's equation on a rectangular …
Automated GPU acceleration of stabilized shallow water solvers with FEniCSx
BA Pachev - 2024 - repositories.lib.utexas.edu
The shallow-water equations are a set of nonlinear partial differential equations with many
applications including storm surge, oceanic circulation, dam failures, and landslides. The …
applications including storm surge, oceanic circulation, dam failures, and landslides. The …