72 citations · 73 across the 4 of their papers we have counts for
5 papers
A Multiscale Method for Two-Component, Two-Phase Flow with a Neural Network Surrogate
Jim Magiera, Christian Rohde
Understanding the dynamics of phase boundaries in fluids requires quantitative knowledge about the microscale processes at the interface. We consider the sharp-interface motion of…
A Molecular-Continuum Multiscale Model for Inviscid Liquid-Vapor Flow with Sharp Interfaces
Jim Magiera, Christian Rohde
The dynamics of compressible liquid-vapor flow depends sensitively on the microscale behavior at the phase boundary. We consider a sharp-interface approach, and propose a multiscal…
An Interface Preserving Moving Mesh in Multiple Space Dimensions
Maria Alkämper, Jim Magiera, Christian Rohde
An interface preserving moving mesh algorithm in two or higher dimensions is presented. It resolves a moving -dimensional manifold directly within the -dimensional mesh,…
Constraint-Aware Neural Networks for Riemann Problems
Jim Magiera, Deep Ray, Jan S. Hesthaven +1
Neural networks are increasingly used in complex (data-driven) simulations as surrogates or for accelerating the computation of classical surrogates. In many applications physical…
A Particle-based Multiscale Solver for Compressible Liquid-Vapor Flow
Jim Magiera, Christian Rohde
To describe complex flow systems accurately, it is in many cases important to account for the properties of fluid flows on a microscopic scale. In this work, we focus on the descri…