A stable added-mass partitioned (AMP) algorithm for elastic solids and incompressible flow. - Daniel A. Serino; Jeffrey W. Banks; William D. Henshaw; Donald W. Schwendeman (J. Comput. Phys., 2019)

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; Donald W. Schwendeman (SIAM J. Sci. Comput., 2019)

An adaptive Newton-based free-boundary Grad-Shafranov solver. - Daniel A. Serino; Qi Tang 001; Xian-Zhu Tang; Tzanio V. Kolev; Konstantin Lipnikov (CoRR, 2024)

Reconstructing Richtmyer-Meshkov instabilities from noisy radiographs using low dimensional features and attention-based neural networks. - Daniel A. Serino; Marc Louis Klasky; Balasubramanya T. Nadiga; Xiaojian Xu 002; Trevor Wilcox (CoRR, 2024)

Learning physical unknowns from hydrodynamic shock and material interface features in ICF capsule implosions. - Daniel A. Serino; Evan Bell; Marc Louis Klasky; Ben S. Southworth; Balasubramanya T. Nadiga; Trevor Wilcox; Oleg Korobkin (CoRR, 2024)

Fast-slow neural networks for learning singularly perturbed dynamical systems. - Daniel A. Serino; Allen Alvarez Loya; J. W. Burby; Ioannis G. Kevrekidis; Qi Tang 001 (J. Comput. Phys., 2025)

Structure-Preserving Neural Ordinary Differential Equations for Stiff Systems. - Allen Alvarez Loya; Daniel A. Serino; Qi Tang 001 (CoRR, 2025)

Learning robust parameter inference and density reconstruction in flyer plate impact experiments. - Evan Bell; Daniel A. Serino; Ben S. Southworth; Trevor Wilcox; Marc Louis Klasky (CoRR, 2025)