Compact Representation of a Multi-dimensional Combustion Manifold Using Deep Neural Networks. - Sushrut Bhalla; Matthew X. Yao; Jean-Pierre Hickey; Mark Crowley 001 (ECML/PKDD (3), 2019)

Deep-learning accelerated calculation of real-fluid properties in numerical simulation of complex flowfields. - Petro Junior Milan; Jean-Pierre Hickey; Xingjian Wang; Vigor Yang (J. Comput. Phys., 2021)

A class of structurally complete approximate Riemann solvers for trans- and supercritical flows with large gradients. - Jeremy C. H. Wang; Jean-Pierre Hickey (J. Comput. Phys., 2022)

Krypton: Nonlinear Parabolized Stability Equation solver for transonic flow in curvilinear coordinates. - Francis Lacombe; Jean-Pierre Hickey (SoftwareX, 2022)

Toward a Neural Network-Based Approach for Improved Atmospheric Infrasound Localization. - Addison J. Wu; Arnav Joshi; Jean-Pierre Hickey (IEEE Access, 2025)