Seungchan Ko
Scholar

Seungchan Ko

Google Scholar ID: x7otqjUAAAAJ
Inha University
Numerical AnalysisScientific Machine Learning
Homepage↗Google Scholar↗
Citations & Impact
All-time
Citations
141
 
H-index
6
 
i10-index
6
 
Publications
19
 
Co-authors
11
list available
Contact
CVOpen ↗
Publications
5 items
Sobolev Approximation of Deep ReLU Networks in Log-Barron Space
arXiv.org · 2026
Cited
0
Sparse FEONet: A Low-Cost, Memory-Efficient Operator Network via Finite-Element Local Sparsity for Parametric PDEs
arXiv.org · 2026
Cited
0
Locking-Free Training of Physics-Informed Neural Network for Solving Nearly Incompressible Elasticity Equations
2025
Cited
0
Engineering application of physics-informed neural networks for Saint-Venant torsion
2025
Cited
0
Finite Element Operator Network for Solving Elliptic-type parametric PDEs
2023
Cited
0
Resume (English only)
Background
  • Assistant Professor, Department of Mathematics
Co-authors
11 total
Youngjoon Hong
Youngjoon Hong
Seoul National University
Co-author 2
Co-author 2
Jae Yong Lee
Jae Yong Lee
Chung-Ang University, Department of AI
Co-author 4
Co-author 4
Co-author 5
Co-author 5
Co-author 6
Co-author 6
Co-author 7
Co-author 7
Guanglian Li
Guanglian Li
The University of Hong Kong