Seungchan Ko

Orcid: 0000-0002-6199-442X

According to our database1, Seungchan Ko authored at least 7 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2024
VS-PINN: A Fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior.
CoRR, 2024

Error analysis for finite element operator learning methods for solving parametric second-order elliptic PDEs.
CoRR, 2024

2023
A novel approach for wafer defect pattern classification based on topological data analysis.
Expert Syst. Appl., November, 2023

Finite Element Operator Network for Solving Parametric PDEs.
CoRR, 2023

2022
Convergence analysis of unsupervised Legendre-Galerkin neural networks for linear second-order elliptic PDEs.
CoRR, 2022

Quasi-Monte Carlo finite element approximation of the Navier-Stokes equations with initial data modeled by log-normal random fields.
CoRR, 2022

2019
Finite element approximation of steady flows of generalized Newtonian fluids with concentration-dependent power-law index.
Math. Comput., 2019


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