5 papers
Optimal mean-time path planning for unmanned underwater vehicles: a Hamilton-Jacobi approach
Jonathan Valyou, Jeremy Brandman, Sanghyun Lee
Unmanned underwater vehicles (UUV) integrate ocean forecasts with path planning algorithms in order to identify energy- or time-minimizing paths that enable mission completion. Typ…
A Conjugate Gradient Formulation of the EnKF Algorithm
Sanghyun Lee, Zhengqi Liu, Jonathan Valyou +1
Ensemble Kalman Filter (EnKF) based data assimilation algorithms synthesize predictive numerical forecast models with accumulated data as time evolves and account for model uncerta…
Enhancing neural network extrapolation in thermo-fluid systems using steady-state solutions
Sanjeeb Poudel, Teeratorn Kadeethum, Sanghyun Lee
Time-dependent partial differential equations (PDEs) arise in many engineering systems, including thermo-fluid applications. Classical numerical simulations of such systems can bec…
Pressure-robust enriched Galerkin finite element methods for coupled Navier-Stokes and heat equations
Sanjeeb Poudel, Sanghyun Lee, Lin Mu
We propose a pressure-robust enriched Galerkin (EG) finite element method for the incompressible Navier-Stokes and heat equations in the Boussinesq regime. For the Navier-Stokes eq…
Ensemble Score Filter for Data Assimilation of Two-Phase Flow Models in Porous Media
Ruoyu Hu, Sanjeeb Poudel, Feng Bao +1
Numerical modeling and simulation of two-phase flow in porous media is challenging due to the uncertainties in key parameters, such as permeability. To address these challenges, we…