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Kookjin Lee — most-cited papers & profile · AI for Science
← authors
·
overview
Kookjin Lee
17
papers ·
38
citations ·
13
h-index
Arizona State University
Google Scholar ↗
Semantic Scholar ↗
OpenAlex ↗
Most-cited papers
Parameterized Physics-informed Neural Networks for Parameterized PDEs
2024 · 6 citations
Hypernetwork-based Meta-Learning for Low-Rank Physics-Informed Neural Networks
2023 · 3 citations
DPM: A Novel Training Method for Physics-Informed Neural Networks in Extrapolation
2020 · 2 citations
Reduced-order modeling for parameterized PDEs via implicit neural representations
2023 · 2 citations
Thermodynamically Consistent Latent Dynamics Identification for Parametric Systems
2025
PIORF: Physics-Informed Ollivier-Ricci Flow for Long-Range Interactions in Mesh Graph Neural Networks
2025
MaD-Scientist: AI-based Scientist solving Convection-Diffusion-Reaction Equations Using Massive PINN-Based Prior Data
2024
The Reconstruction of the Space-Dependent Thermal Conductivity from Sparse Temperature Measurements
2024
Physics-informed reduced order model with conditional neural fields
2024
Top co-authors
Noseong Park
· 5
Woojin Cho
· 3
Anthony Gruber
· 2
Dongeun Lee
· 2
Tianshu Wen
· 2
Youngsoo Choi
· 2
Alex Mahalov
· 1
Dongseok Lee
· 1
Donsub Rim
· 1
Guangting Yu
· 1
Haksoo Lim
· 1
Jaehyeon Park
· 1
Topics
Physics ML
Math & Equations
Materials