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Seungchan Ko — most-cited papers & profile · AI for Science
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Seungchan Ko
3
papers ·
2
citations
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Most-cited papers
VS-PINN: A fast and efficient training of physics-informed neural networks using variable-scaling methods for solving PDEs with stiff behavior
2024 · 2 citations
Engineering application of physics-informed neural networks for Saint-Venant torsion
2025
A decomposition-based robust training of physics-informed neural networks for nearly incompressible linear elasticity
2025
Top co-authors
Hosung Kim
· 1
Jongcheon Park
· 1
Josef Dick
· 1
Kassem Mustapha
· 1
Quôc Thông Lê Gia
· 1
Sanghyeon Park
· 1
Sanghyeon Park
· 1
Sang Hyeon Park
· 1
Sangseung Lee and Joongoo Jeon
· 1
Su Yeong Jo
· 1
Topics
Physics ML
Math & Equations
Materials