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Youngjoon Hong — most-cited papers & profile · AI for Science
← authors
·
overview
Youngjoon Hong
10
papers ·
55
citations ·
5
h-index
Seoul National University · National Institute for Mathematical Sciences
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Most-cited papers
Separable Physics-Informed Neural Networks
2023 · 27 citations
Separable PINN: Mitigating the Curse of Dimensionality in Physics-Informed Neural Networks
2022 · 13 citations
Spectral operator learning for parametric PDEs without data reliance
2023 · 13 citations
Forward and Inverse Simulation of Pseudo-Two-Dimensional Model of Lithium-Ion Batteries Using Neural Networks
2024 · 1 citations
Semi-analytic PINN methods for singularly perturbed boundary value problems
2022 · 1 citations
Discontinuous Galerkin finite element operator network for solving non-smooth PDEs
2026
PIG: Physics-Informed Gaussians as Adaptive Parametric Mesh Representations
2024
Unsupervised Legendre-Galerkin Neural Network for Singularly Perturbed Partial Differential Equations
2022
PIXEL: Physics-Informed Cell Representations for Fast and Accurate PDE Solvers
2022
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data
2024
Top co-authors
Eunbyung Park
· 4
Seok-Bae Yun
· 3
Hyunmo Yang
· 2
Jaemin Oh
· 2
Junho Choi
· 2
Junwoo Cho
· 2
Namgyu Kang
· 2
Namjung Kim
· 2
Seungtae Nam
· 2
Anthony Gruber
· 1
Byeonghyeon Lee
· 1
Chang-Yeol Jung
· 1
Topics
Physics ML
Math & Equations
Chemistry
Materials