54 citations · 169 across the 10 of their papers we have counts for
10 papers
Shape of my heart: Cardiac models through learned signed distance functions
Jan Verhülsdonk, Thomas Grandits, Francisco Sahli Costabal +6
The efficient construction of anatomical models is one of the major challenges of patient-specific in-silico models of the human heart. Current methods frequently rely on linear st…
Digital twinning of cardiac electrophysiology models from the surface ECG: a geodesic backpropagation approach
Thomas Grandits, Jan Verhülsdonk, Gundolf Haase +2
The eikonal equation has become an indispensable tool for modeling cardiac electrical activation accurately and efficiently. In principle, by matching clinically recorded and eikon…
Global Sensitivity Analysis of Four Chamber Heart Hemodynamics Using Surrogate Models
Elias Karabelas, Stefano Longobardi, Jana Fuchsberger +7
Computational Fluid Dynamics (CFD) is used to assist in designing artificial valves and planning procedures, focusing on local flow features. However, assessing the impact on overa…
An accurate, robust, and efficient finite element framework for anisotropic, nearly and fully incompressible elasticity
Elias Karabelas, Matthias A. F. Gsell, Gundolf Haase +2
Fiber-reinforced soft biological tissues are typically modeled as hyperelastic, anisotropic, and nearly incompressible materials. To enforce incompressibility a multiplicative spli…
On the Incorporation of Obstacles in a Fluid Flow Problem Using a Navier-Stokes-Brinkman Penalization Approach
Jana Fuchsberger, Elias Karabelas, Philipp Aigner +4
Simulating the interaction of fluids with immersed moving solids is playing an important role for gaining a better quantitative understanding of how fluid dynamics is altered by th…
Versatile stabilized finite element formulations for nearly and fully incompressible solid mechanics
Elias Karabelas, Gundolf Haase, Gernot Plank +1
Computational formulations for large strain, polyconvex, nearly incompressible elasticity have been extensively studied, but research on enhancing solution schemes that offer bette…
Solving the Ghost-Gluon System of Yang-Mills Theory on GPUs
Markus Hopfer, Reinhard Alkofer, Gundolf Haase
We solve the ghost-gluon system of Yang-Mills theory using Graphics Processing Units (GPUs). Working in Landau gauge, we use the Dyson-Schwinger formalism for the mathematical desc…
Examining the Analytic Structure of Green's Functions: Massive Parallel Complex Integration using GPUs
Andreas Windisch, Reinhard Alkofer, Gundolf Haase +1
Graphics Processing Units (GPUs) are employed for a numerical determination of the analytic structure of two-point correlation functions of Quantum Field Theories. These functions…
A numerical projection technique for large-scale eigenvalue problems
Ralf Gamillscheg, Gundolf Haase, Wolfgang von der Linden
We present a new numerical technique to solve large-scale eigenvalue problems. It is based on the projection technique, used in strongly correlated quantum many-body systems, where…
Computation of ground-state properties of strongly correlated many-body systems by a two-subsystem ground-state approximation
Ralf Gamillscheg, Gundolf Haase, Wolfgang von der Linden
We present a new approach to compute low lying eigenvalues and corresponding eigenvectors for strongly correlated many-body systems. The method was inspired by the so-called Automa…