1 citations · 1 across the 6 of their papers we have counts for
6 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…
On the training and generalization of deep operator networks
Sanghyun Lee, Yeonjong Shin
We present a novel training method for deep operator networks (DeepONets), one of the most popular neural network models for operators. DeepONets are constructed by two sub-network…