Effects of operator splitting and low Mach-number correction in turbulent mixing transition simulations. - Fernando Grinstein; Juan A. Saenz; Joshua C. Dolence; Thomas Masser; Rick M. Rauenzahn; Marianne M. Francois (Comput. Math. Appl., 2019)

Objective discovery of dominant dynamical processes with intelligible machine learning. - Bryan E. Kaiser; Juan A. Saenz; Maike Sonnewald; Daniel Livescu (CoRR, 2021)

Automated identification of dominant physical processes. - Bryan E. Kaiser; Juan A. Saenz; Maike Sonnewald; Daniel Livescu (Eng. Appl. Artif. Intell., 2022)

Dynamic calibration of differential equations using machine learning, with application to turbulence models. - Ismael Boureima; Vitaliy Gyrya; Juan A. Saenz; Susan Kurien; Marianne M. Francois (J. Comput. Phys., 2022)