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Efforts to achieve better accuracy in numerical relativity have so far focused either on implementing second order accurate adaptive mesh refinement or on defining higher order accurate differences and update schemes. Here, we argue for the…

广义相对论与量子宇宙学 · 物理学 2009-11-11 Luis Lehner , Steven L. Liebling , Oscar Reula

The relativistic hydrodynamics (RHD) equations can give rise to solutions which have shocks, contact discontinuities, and other sharp structures, which interact and evolve over time. Capturing these sharp waves effectively requires a mesh…

数值分析 · 数学 2026-04-23 Sujoy Basak , Arpit Babbar , Harish Kumar , Praveen Chandrashekar

We present a new computational method for smoothly matching general relativistic ideal magnetohydrodynamics (MHD) to its force-free limit. The method is based on a flux-conservative formalism for MHD and its force-free limit, and a vector…

高能天体物理现象 · 物理学 2015-06-17 Vasileios Paschalidis , Stuart L. Shapiro

This work introduces an adaptive mesh refinement technique for hierarchical hybrid grids with the goal to reach scalability and maintain excellent performance on massively parallel computer systems. On the block structured hierarchical…

数值分析 · 数学 2025-08-11 Benjamin Mann , Ulrich Rüde

In this paper, the general procedure to solve the General Relativistic Hydrodynamical(GRH) equations with Adaptive-Mesh Refinement (AMR) is presented. In order to achieve, the GRH equations are written in the conservation form to exploit…

广义相对论与量子宇宙学 · 物理学 2009-11-10 Orhan Donmez

We compare two different codes for simulations of cosmological structure formation to investigate the sensitivity of hydrodynamical instabilities to numerics, in particular, the hydro solver and the application of adaptive mesh refinement…

宇宙学与河外天体物理 · 物理学 2014-11-27 W. Schmidt , J. Schulz , L. Iapichino , F. Vazza , A. S. Almgren

This work presents a high-order finite-difference adaptive mesh refinement (AMR) framework for robust simulation of shock-turbulence interaction problems. A staggered-grid arrangement, in which solution points are stored at cell centers…

计算物理 · 物理学 2025-11-12 Yuqi Wang , Yadong Zeng , Ralf Deiterding , Jinhui Yang , Jianhan Liang

In magnetohydrodynamic (MHD) flows, incompressibility is assumed for low Mach numbers. However, even at low Mach numbers, the Mach number influences flow and magnetic fields. Therefore, it is necessary to develop a method that can stably…

流体动力学 · 物理学 2025-12-24 Hideki Yanaoka

Variational inequalities play a pivotal role in a wide array of scientific and engineering applications. This project presents two techniques for adaptive mesh refinement (AMR) in the context of variational inequalities, with a specific…

数值分析 · 数学 2025-02-21 Giuliano Stefano Fochesatto

We prove existence, uniqueness, and higher-order global regularity of strong solutions to a particular Voigt-regularization of the three-dimensional inviscid resistive Magnetohydrodynamic (MHD) equations. Specifically, the coupling of a…

偏微分方程分析 · 数学 2011-04-05 Adam Larios , Edriss S. Titi

We present a novel gradient regularization to completely eliminate the magnetic divergence error in meshless magnetohydrodynamics (MHD), which offers a high spatial resolution and conservative advantage, due to its Lagrangian nature.…

天体物理仪器与方法 · 物理学 2026-03-05 Xiongbiao Tu , Qiao Wang , Liang Gao , Yifa Tang

Numerical evolution of the spherically symmetric, massive Klein-Gordon field is presented using a new adaptive mesh refinement (AMR) code with fourth order discretization in space and time, along with compactification in space. The system…

高能物理 - 理论 · 物理学 2009-11-11 Peter Csizmadia

In this paper, we present a new method to perform numerical simulations of astrophysical MHD flows using the Adaptive Mesh Refinement framework and Constrained Transport. The algorithm is based on a previous work in which the MUSCL--Hancock…

天体物理学 · 物理学 2009-11-11 S. Fromang , P. Hennebelle , R. Teyssier

Recently, we developed a pair of meshless finite-volume Lagrangian methods for hydrodynamics: the 'meshless finite mass' (MFM) and 'meshless finite volume' (MFV) methods. These capture advantages of both smoothed-particle hydrodynamics…

天体物理仪器与方法 · 物理学 2015-12-15 Philip F. Hopkins , Matthias J. Raives

The magnetohydrodynamics (MHD) equations are generally known to be difficult to solve numerically, due to their highly nonlinear structure and the strong coupling between the electromagnetic and hydrodynamic variables, especially for high…

数值分析 · 数学 2022-11-11 Fabian Laakmann , Patrick E. Farrell , Lawrence Mitchell

This paper develops high-order accurate entropy stable (ES) adaptive moving mesh finite difference schemes for the two- and three-dimensional special relativistic hydrodynamic (RHD) and magnetohydrodynamic (RMHD) equations, which is the…

数值分析 · 数学 2022-02-28 Junming Duan , Huazhong Tang

Magnetohydrodynamic (MHD) phenomena play a pivotal role in the design and operation of nuclear fusion systems, where electrically conducting fluids (such as liquid metals or molten salts employed in reactor blankets) interact with magnetic…

机器学习 · 计算机科学 2026-04-03 M. Lo Verso , C. Introini , E. Cervi , L. Savoldi , J. N. Kutz , A. Cammi

A robust second order, shock-capturing numerical scheme for multi-dimensional special relativistic magnetohydrodynamics on computational domains with adaptive mesh refinement is presented. The base solver is a total variation diminishing…

天体物理学 · 物理学 2009-11-13 B. van der Holst , R. Keppens , Z. Meliani

Multiphase flows are an important class of fluid flow and their study facilitates the development of diverse applications in industrial, natural, and biomedical systems. We consider a model that uses a continuum description of both phases…

流体动力学 · 物理学 2025-08-04 Bindi M. Nagda , Aaron Barrett , Boyce E. Griffith , Aaron L. Fogelson , Jian Du

In this paper, we develop a lattice Boltzmann model for relativistic magnetohydrodynamics (MHD). Even though the model is derived for resistive MHD, it is shown that it is numerically robust even in the high conductivity (ideal MHD) limit.…

计算物理 · 物理学 2015-09-30 F. Mohseni , M. Mendoza , S. Succi , H. J. Herrmann