Peter Ohm

According to our database, Peter Ohm authored at least 9 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Scalable Multiphysics Block Preconditioning for Low Mach Number Compressible Resistive MHD with Application to Magnetic Confinement Fusion.

Peter Ohm, Jesús Bonilla, Edward G. Phillips, John N. Shadid, Michael M. Crockatt, Ray S. Tuminaro, Jonathan J. Hu, Xian-Zhu Tang

SIAM J. Sci. Comput., 2024

2023

Monolithic Multigrid for a Reduced-Quadrature Discretization of Poroelasticity.

James H. Adler, Yunhui He, Xiaozhe Hu, Scott P. MacLachlan, Peter Ohm

SIAM J. Sci. Comput., June, 2023

Graph Neural Networks and Applied Linear Algebra.

Nicholas S. Moore, Eric C. Cyr, Peter Ohm, Christopher M. Siefert, Raymond S. Tuminaro

CoRR, 2023

2022

NonInvasive Multigrid For SemiStructured Grids.

Matthias Mayr, Luc Berger-Vergiat, Peter Ohm, Ray S. Tuminaro

SIAM J. Sci. Comput., August, 2022

2021

Non-invasive multigrid for semi-structured grids.

Matthias Mayr, Luc Berger-Vergiat, Peter Ohm, Raymond S. Tuminaro

CoRR, 2021

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

Peter Ohm, Tobias A. Wiesner, Eric C. Cyr, Jonathan J. Hu, John N. Shadid, Raymond S. Tuminaro

CoRR, 2021

2020

Robust Preconditioners for a New Stabilized Discretization of the Poroelastic Equations.

J. H. Adler, Francisco José Gaspar, Xiaozhe Hu, Peter Ohm, Carmen Rodrigo, Ludmil T. Zikatanov

SIAM J. Sci. Comput., 2020

2018

New Stabilized Discretizations for Poroelasticity Equations.

Francisco José Gaspar, Carmen Rodrigo, Xiaozhe Hu, Peter Ohm, James H. Adler, Ludmil T. Zikatanov

Proceedings of the Numerical Methods and Applications - 9th International Conference, 2018

1997

Evolutionary Induction of Sparse Neural Trees.

Byoung-Tak Zhang, Peter Ohm, Heinz Mühlenbein

Evol. Comput., 1997