Dispersion analysis of compatible Galerkin schemes for the 1D shallow water model. - Christopher Eldred; Daniel Y. Le Roux (J. Comput. Phys., 2018)

An energy consistent discretization of the nonhydrostatic equations in primitive variables. - Mark A. Taylor; Oksana Guba; Andrew Steyer; Paul A. Ullrich; David Hall; Christopher Eldred (CoRR, 2019)

Stability analysis of split-explicit free surface ocean models: Implication of the depth-independent barotropic mode approximation. - Jérémie Demange; Laurent Debreu; Patrick Marchesiello; Florian Lemarié; Eric Blayo; Christopher Eldred (J. Comput. Phys., 2019)

A quasi-Hamiltonian discretization of the thermal shallow water equations. - Christopher Eldred; Thomas Dubos; Evaggelos Kritsikis (J. Comput. Phys., 2019)

Dispersion analysis of compatible Galerkin schemes on quadrilaterals for shallow water models. - Christopher Eldred; Daniel Y. Le Roux (J. Comput. Phys., 2019)

Fourier Analyses of High-Order Continuous and Discontinuous Galerkin Methods. - Daniel Y. Le Roux; Christopher Eldred; Mark A. Taylor (SIAM J. Numer. Anal., 2020)

Variational Geometric Description for Fluids with Permeable Boundaries. - François Gay-Balmaz; Meng Wu; Chris Eldred (GSI (2), 2021)

An interpretation of TRiSK-type schemes from a discrete exterior calculus perspective. - Christopher Eldred; Werner Bauer (CoRR, 2022)

Unprecedented cloud resolution in a GPU-enabled full-physics atmospheric climate simulation on OLCF's summit supercomputer. - Matthew R. Norman; David A. Bader; Christopher Eldred; Walter M. Hannah; Benjamin R. Hillman; Christopher R. Jones; Jungmin M. Lee; L. Ruby Leung; Isaac Lyngaas; Kyle G. Pressel; Sarat Sreepathi; Mark A. Taylor; et al. (Int. J. High Perform. Comput. Appl., 2022)

Lie-Poisson Neural Networks (LPNets): Data-based computing of Hamiltonian systems with symmetries. - Christopher Eldred; François Gay-Balmaz; Sofiia Huraka; Vakhtang Putkaradze (Neural Networks, 2024)

CLPNets: Coupled Lie-Poisson neural networks for multi-part Hamiltonian systems with symmetries. - Christopher Eldred; François Gay-Balmaz; Vakhtang Putkaradze (Neural Networks, 2025)