5 citations · 6 across the 2 of their papers we have counts for
3 papers
math.NA2022★ 1 cited
Convergence analysis of unsupervised Legendre-Galerkin neural networks for linear second-order elliptic PDEs
Seungchan Ko, Seok-Bae Yun, Youngjoon Hong
In this paper, we perform the convergence analysis of unsupervised Legendre--Galerkin neural networks (ULGNet), a deep-learning-based numerical method for solving partial different…
math.AP2022★ 5 cited
Temporal decay of strong solutions for generalized Newtonian fluids with variable power-law index
Seungchan Ko
We consider the motion of a power-law-like generalized Newtonian fluid in R^3, where the power-law index is a variable function. This system of nonlinear partial differential equat…
math.AP2018
Existence of global weak solutions for unsteady motions of incompressible chemically reacting generalized Newtonian fluids
Seungchan Ko
We study a system of nonlinear partial differential equations describing the unsteady motions of incompressible chemically reacting non-Newtonian fluids. The system under considera…