Zobrazeno 1 - 10
of 1 148
pro vyhledávání: '"P., Wohlmuth"'
We address the numerical challenge of solving the Hookean-type time-fractional Navier--Stokes--Fokker--Planck equation, a history-dependent system of PDEs defined on the Cartesian product of two $d$-dimensional spaces in the turbulent regime. Due to
Externí odkaz:
http://arxiv.org/abs/2411.17294
Consensus-based optimization (CBO) is a versatile multi-particle optimization method for performing nonconvex and nonsmooth global optimizations in high dimensions. Proofs of global convergence in probability have been achieved for a broad class of o
Externí odkaz:
http://arxiv.org/abs/2410.10361
Autor:
Rieff, Melanie, Holzberger, Fabian, Lapina, Oksana, Ringstad, Geir, Valnes, Lars Magnus, Warsza, Bogna, Mardal, Kent-Andre, Eide, Per Kristian, Wohlmuth, Barbara
Previous work shows evidence that cerebrospinal fluid (CSF) plays a crucial role in brain waste clearance processes, and that altered flow patterns are associated with various diseases of the central nervous system. In this study, we investigate the
Externí odkaz:
http://arxiv.org/abs/2410.04460
Autor:
Lunowa, Stephan B., Wohlmuth, Barbara
Biot's consolidation model is a classical model for the evolution of deformable porous media saturated by a fluid and has various interdisciplinary applications. While numerical solution methods to solve poroelasticity by typical schemes such as fini
Externí odkaz:
http://arxiv.org/abs/2409.11382
A velocity field characterized by chaotic advection induces stretching and folding processes that increase the solute-solvent interface available for diffusion. Identifying chaotic flow fields with optimized mixing enhancement is relevant for applica
Externí odkaz:
http://arxiv.org/abs/2408.05055
In this work, we investigate a quasilinear subdiffusion model which involves a fractional derivative of order $\alpha \in (0,1)$ in time and a nonlinear diffusion coefficient. First, using smoothing properties of solution operators for linear subdiff
Externí odkaz:
http://arxiv.org/abs/2407.19146
Understanding how genetically encoded rules drive and guide complex neuronal growth processes is essential to comprehending the brain's architecture, and agent-based models (ABMs) offer a powerful simulation approach to further develop this understan
Externí odkaz:
http://arxiv.org/abs/2405.13905
Autor:
Schwarting, Julian, Holzberger, Fabian, Muhr, Markus, Renz, Martin, Boeckh-Behrens, Tobias, Wohlmuth, Barbara, Kirschke, Jan
Rupture of intracranial aneurysms results in severe subarachnoidal hemorrhage, which is associated with high morbidity and mortality. Neurointerventional occlusion of the aneurysm through coiling has evolved to a therapeutical standard. The choice of
Externí odkaz:
http://arxiv.org/abs/2403.06889
This work highlights an approach for incorporating realistic uncertainties into scientific computing workflows based on finite elements, focusing on applications in computational mechanics and design optimization. We leverage Mat\'ern-type Gaussian r
Externí odkaz:
http://arxiv.org/abs/2403.03658
Intracranial aneurysms are the leading cause of hemorrhagic stroke. One of the established treatment approaches is the embolization induced by coil insertion. However, the prediction of treatment and subsequent changed flow characteristics in the ane
Externí odkaz:
http://arxiv.org/abs/2402.10809