A Portable and Efficient Lagrangian Particle Capability for Idealized Atmospheric Phenomena. - John M. Dennis; Jian Sun; Sheri Voelz; George Bryan; David Richter 002 (PASC, 2024)

A Physics-Informed Convolutional Long Short Term Memory Statistical Model for Fluid Thermodynamics Simulations. - Luca Menicali; Andrew Grace; David H. Richter; Stefano Castruccio (CoRR, 2025)

Bayesian Neural Networks With Physics-Informed Priors With Application to Boundary Layer Velocity. - Luca Menicali; David H. Richter; Stefano Castruccio (IEEE Trans. Neural Networks Learn. Syst., 2025)