10 citations · 13 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
Online Spectral Deflation for State Constrained Optimal Control Problems
Teeratorn Kadeethum, Francesco Ballarin, Youngsoo Choi +1
Parametric PDE-constrained optimal control with pointwise state constraints requires repeated solution of restricted Schur-complement systems on parameter-dependent inactive sets.…
Physics-informed Neural Networks for Solving Nonlinear Diffusivity and Biot's equations
Teeratorn Kadeethum, Thomas M Jorgensen, Hamidreza M Nick
This paper presents the potential of applying physics-informed neural networks for solving nonlinear multiphysics problems, which are essential to many fields such as biomedical en…