AuthorsA. Budisa, X. Hu, M. Kuchta, K. Mardal and L. T. Zikatanov
TitleHAZniCS – Software Components for Multiphysics Problems
AfilliationScientific Computing
Project(s)SciML - Scientific Machine Learning, Department of Numerical Analysis and Scientific Computing, DataSim: Data-driven Algorithms for Physical Simulations
StatusSubmitted
Publication TypeJournal Article
Year of Publication2022
JournalACM Transactions on Mathematical Software
PublisherACM
Abstract

We introduce the software toolbox HAZniCS for solving interface-coupled multiphysics problems. HAZniCS is a suite of modules that combines the well-known FEniCS framework for finite element discretization with solver and graph library HAZmath. The focus of the paper is on the design and implementation of a pool of robust and efficient solver algorithms which tackle issues related to the complex interfacial coupling of the physical problems often encountered in applications in brain biomechanics. The robustness and efficiency of the numerical algorithms and methods is shown in several numerical examples, namely the Darcy-Stokes equations that model flow of cerebrospinal fluid in the human brain and the mixed-dimensional model of electrodiffusion in the brain tissue.

Citation Key42936