15 citations · 21 across the 11 of their papers we have counts for
4 papers · 1 filter
Structure-Preserving Neural Ordinary Differential Equations for Stiff Systems
Allen Alvarez Loya, Daniel A. Serino, J. W. Burby +1
Neural ordinary differential equations (NODEs) are an effective approach for data-driven modeling of dynamical systems arising from simulations and experiments. One of the major sh…
An adaptive Newton-based free-boundary Grad-Shafranov solver
Daniel A. Serino, Qi Tang, Xian-Zhu Tang +2
Equilibria in magnetic confinement devices result from force balancing between the Lorentz force and the plasma pressure gradient. In an axisymmetric configuration like a tokamak,…
A stable added-mass partitioned (AMP) algorithm for elastic solids and incompressible flow
Daniel A. Serino, Jeffrey W. Banks, William D. Henshaw +1
A stable added-mass partitioned (AMP) algorithm is developed for fluid-structure interaction (FSI) problems involving viscous incompressible flow and compressible elastic solids. D…
A stable added-mass partitioned (AMP) algorithm for elastic solids and incompressible flow: model problem analysis
Daniel A. Serino, Jeffrey W. Banks, William D. Henshaw +1
A stable added-mass partitioned (AMP) algorithm is developed for fluid-structure interaction (FSI) problems involving viscous incompressible flow and compressible elastic-solids. T…