75 citations · 182 across the 12 of their papers we have counts for
4 papers · 1 filter
Stable rank-adaptive Dynamically Orthogonal Runge-Kutta schemes
Aaron Charous, Pierre F. J. Lermusiaux
We develop two new sets of stable, rank-adaptive Dynamically Orthogonal Runge-Kutta (DORK) schemes that capture the high-order curvature of the nonlinear low-rank manifold. The DOR…
Bayesian Learning of Coupled Biogeochemical-Physical Models
Abhinav Gupta, Pierre F. J. Lermusiaux
Predictive dynamical models for marine ecosystems are used for a variety of needs. Due to sparse measurements and limited understanding of the myriad of ocean processes, there is h…
Deep Reinforcement Learning for Adaptive Mesh Refinement
Corbin Foucart, Aaron Charous, Pierre F. J. Lermusiaux
Finite element discretizations of problems in computational physics often rely on adaptive mesh refinement (AMR) to preferentially resolve regions containing important features dur…
Lagrangian surface signatures reveal upper-ocean vertical displacement conduits near oceanic density fronts
H. M. Aravind, Vicky Verma, Sutanu Sarkar +5
Vertical transport in the ocean plays a critical role in the exchange of freshwater, heat, nutrients, and other biogeochemical tracers. While there are situations where vertical fl…