activity
20202026
most citedAdaptive numerical simulations with Trixi.jl: A case study of Julia for scientific computing

56 citations · 184 across the 17 of their papers we have counts for

collaborators
Showing math.NAShow all

14 papers · 1 filter

math.NA2026

Multi-Solver Coupling for Parallel Adaptive Multi-Physics Simulations with Trixijl and dealII

Vivienne Ehlert, Gregor Gassner, Martin Kronbichler +2

Many standalone frameworks for numerical solvers have been developed to tackle the simulation of specific single- or multi-physics problems. For solving coupled problems, common ap…

math.NA2026

Massively parallel numerical simulations with Julia

Simon Candelaresi, Benedict Geihe, Marco Artiano +6

The Julia programming language aims to provide a modern approach to develop high-performance computing (HPC) applications. It tries to achieve this by combining a high-level, dynam…

math.NA2026

Adaptive Multiphysics Coupling for Hyperbolic Systems

Simon Candelaresi, Erik Faulhaber, Michael Schlottke-Lakemper

For the discontinuous Galerkin code Trixijl we implement capabilities for adaptively coupling arbitrarily many domains with different physics. The coupling of the systems is rea…

math.NA2026

Volume Term Adaptivity for Discontinuous Galerkin Schemes

Daniel Doehring, Jesse Chan, Hendrik Ranocha +3

We introduce the concept of volume term adaptivity for high-order discontinuous Galerkin (DG) schemes solving time-dependent partial differential equations. Termed v-adaptivity, we…

math.NA2026

Jin-Xin relaxation as a shock-capturing method for high-order DG/FR schemes

Marco Artiano, Arpit Babbar, Michael Schlottke-Lakemper +2

Jin-Xin relaxation is a method for approximating non-linear hyperbolic conservation laws by a linear system of hyperbolic equations with an dependent stiff source ter…

math.NA2025

Robust and efficient pre-processing techniques for particle-based methods including dynamic boundary generation

Niklas S. Neher, Erik Faulhaber, Sven Berger +3

Obtaining high-quality particle distributions for stable and accurate particle-based simulations poses significant challenges, especially for complex geometries. We introduce a pre…

math.NA2025

Automatic differentiation for performing the Cauchy-Kovalevskaya procedure in Lax-Wendroff type discretizations

Arpit Babbar, Valentin Churavy, Michael Schlottke-Lakemper +1

Lax-Wendroff methods combined with discontinuous Galerkin/flux reconstruction spatial discretization provide a high-order, single-stage, quadrature-free method for solving hyperbol…

math.NA2024★ 6 cited

Secure numerical simulations using fully homomorphic encryption

Arseniy Kholod, Yuriy Polyakov, Michael Schlottke-Lakemper

Data privacy is a significant concern when using numerical simulations for sensitive information such as medical, financial, or engineering data -- especially in untrusted environm…

math.NA2024★ 1 cited

Fourth-Order Paired-Explicit Runge-Kutta Methods

Daniel Doehring, Lars Christmann, Michael Schlottke-Lakemper +2

In this paper, we extend the Paired-Explicit Runge-Kutta schemes by Vermeire et. al. to fourth-order of consistency. Based on the order conditions for partitioned Runge-Kutta metho…

math.NA2024★ 5 cited

Generalized upwind summation-by-parts operators and their application to nodal discontinuous Galerkin methods

Jan Glaubitz, Hendrik Ranocha, Andrew R. Winters +3

High-order numerical methods for conservation laws are highly sought after due to their potential efficiency. However, it is challenging to ensure their robustness, particularly fo…

math.NA2024★ 4 cited

Multirate Time-Integration based on Dynamic ODE Partitioning through Adaptively Refined Meshes for Compressible Fluid Dynamics

Daniel Doehring, Michael Schlottke-Lakemper, Gregor J. Gassner +1

In this paper, we apply the Paired-Explicit Runge-Kutta (P-ERK) schemes by Vermeire et. al. (2019, 2022) to dynamically partitioned systems arising from adaptive mesh refinement. T…

math.NA2023★ 8 cited

On the robustness of high-order upwind summation-by-parts methods for nonlinear conservation laws

Hendrik Ranocha, Andrew R. Winters, Michael Schlottke-Lakemper +3

We use the framework of upwind summation-by-parts (SBP) operators developed by Mattsson (2017, doi:10.1016/j.jcp.2017.01.042) and study different flux vector splittings in this con…

math.NA2022★ 13 cited

On error-based step size control for discontinuous Galerkin methods for compressible fluid dynamics

Hendrik Ranocha, Andrew R. Winters, Hugo Guillermo Castro +4

We study temporal step size control of explicit Runge-Kutta methods for compressible computational fluid dynamics (CFD), including the Navier-Stokes equations and hyperbolic system…

math.NA2020★ 54 cited

A purely hyperbolic discontinuous Galerkin approach for self-gravitating gas dynamics

Michael Schlottke-Lakemper, Andrew R. Winters, Hendrik Ranocha +1

One of the challenges when simulating astrophysical flows with self-gravity is to compute the gravitational forces. In contrast to the hyperbolic hydrodynamic equations, the gravit…