activity
20142025
most citedEmbedded error estimation and adaptive step-size control for optimal explicit strong stability preserving Runge--Kutta methods

26 citations · 99 across the 14 of their papers we have counts for

collaborators

16 papers

math.NA2025

Structure-preserving finite-element approximations of the magnetic Euler-Poisson equations

Jordan Hoffart, Matthias Maier, John N. Shadid +1

We develop a structure-preserving numerical discretization for the electrostatic Euler-Poisson equations with a given magnetic field. Our focus is on the efficient solution of prob…

math.NA2023★ 2 cited

Unified -HDG Frameworks for Friedrichs' PDE systems

Jau-Uei Chen, Shinhoo Kang, Tan Bui-Thanh +1

This work proposes a unified -adaptivity framework for hybridized discontinuous Galerkin (HDG) method for a large class of partial differential equations (PDEs) of Friedrichs'…

math.NA2022★ 8 cited

Structure-preserving finite-element schemes for the Euler-Poisson equations

Matthias Maier, John N. Shadid, Ignacio Tomas

We discuss structure-preserving numerical discretizations for repulsive and attractive Euler-Poisson equations that find applications in fluid-plasma and self-gravitation modeling.…

physics.comp-ph2021★ 12 cited

An adaptive scalable fully implicit algorithm based on stabilized finite element for reduced visco-resistive MHD

Qi Tang, Luis Chacon, Tzanio V. Kolev +2

The magnetohydrodynamics (MHD) equations are continuum models used in the study of a wide range of plasma physics systems, including the evolution of complex plasma dynamics in tok…

math.NA2021

A Monolithic Algebraic Multigrid Framework for Multiphysics Applications with Examples from Resistive MHD

Peter Ohm, Tobias Wiesner, Eric C. Cyr +3

A multigrid framework is described for multiphysics applications. The framework allows one to construct, adapt, and tailor a monolithic multigrid methodology to different linear sy…

math.NA2020

A Multilevel Block Preconditioner for the HDG Trace System Applied to Incompressible Resistive MHD

Sriramkrishnan Muralikrishnan, Stephen Shannon, Tan Bui-Thanh +1

We present a scalable block preconditioning strategy for the trace system coming from the high-order hybridized discontinuous Galerkin (HDG) discretization of incompressible resist…

physics.comp-ph2020★ 1 cited

High Rayleigh number variational multiscale large eddy simulations of Rayleigh-Bénard Convection

David Sondak, Thomas M. Smith, Roger P. Pawlowski +2

The variational multiscale (VMS) formulation is used to develop residual-based VMS large eddy simulation (LES) models for Rayleigh-Bénard convection. The resulting model is a mixed…

math.NA2020

An a posteriori error analysis for the equations of stationary incompressible magnetohydrodynamics

J. H. Chaudhry, A. E. Rappaport, J. N. Shadid

Magnetohydrodynamics (MHD) is a continuum level model for conducting fluids subject to external magnetic fields, e.g. plasmas and liquid metals. The efficient and robust solution o…

math.NA2019★ 4 cited

On differentiable local bounds preserving stabilization for Euler equations

Santiago Badia, Jesús Bonilla, Sibusiso Mabuza +1

This work presents the design of nonlinear stabilization techniques for the finite element discretization of Euler equations in both steady and transient form. Implicit time integr…

math.NA2019★ 22 cited

A Multilevel Approach for Trace System in HDG Discretizations

Sriramkrishnan Muralikrishnan, Tan Bui-Thanh, John N. Shadid

We propose a multilevel approach for trace systems resulting from hybridized discontinuous Galerkin (HDG) methods. The key is to blend ideas from nested dissection, domain decompos…

math.NA2018★ 26 cited

Embedded error estimation and adaptive step-size control for optimal explicit strong stability preserving Runge--Kutta methods

Sidafa Conde, Imre Fekete, John N. Shadid

We construct a family of embedded pairs for optimal strong stability preserving explicit Runge-Kutta methods of order to be used to obtain numerical solution of s…

math.NA2017★ 1 cited

Implicit and Implicit-Explicit Strong Stability Preserving Runge-Kutta Methods with High Linear Order

Sidafa Conde, Sigal Gottlieb, Zachary J. Grant +1

When evolving in time the solution of a hyperbolic partial differential equation, it is often desirable to use high order strong stability preserving (SSP) time discretizations. Th…

math.NA2017

Analysis of an HDG Method for Linearized Incompressible Resistive MHD Equations

Jeonghun J. Lee, Stephen Shannon, Tan Bui-Thanh +1

We present a hybridized discontinuous Galerkin (HDG) method for stationary linearized incompressible magnetohydrodynamics (MHD) equations. At the heart of the paper is the introduc…

math.NA2016★ 3 cited

Dimension reduction in MHD power generation models: dimensional analysis and active subspaces

Andrew Glaws, Paul G. Constantine, John Shadid +1

Magnetohydrodynamics (MHD)---the study of electrically conducting fluids---can be harnessed to produce efficient, low-emissions power generation. Today, computational modeling assi…

math.NA2015

Error Estimation for Multi-Stage Runge-Kutta IMEX Schemes

Jehanzeb H. Chaudhry, J. B. Collins, John N. Shadid

Implicit-Explicit (IMEX) schemes are widely used for time integration methods for approximating solutions to a large class of problems. In this work, we develop accurate a posterio…

physics.comp-ph2014★ 20 cited

A new class of finite element variational multiscale turbulence models for incompressible magnetohydrodynamics

David Sondak, John N. Shadid, Assad A. Oberai +3

New large eddy simulation (LES) turbulence models for incompressible magnetohydrodynamics (MHD) derived from the variational multiscale (VMS) formulation for finite element simulat…