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Jae Yong Lee
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Trend to equilibrium for the kinetic Fokker-Planck equation via the neural network approach
HJ Hwang, JW Jang, H Jo, JY Lee
Journal of Computational Physics 419, 109665, 2020
332020
Solving pde-constrained control problems using operator learning
R Hwang, JY Lee, JY Shin, HJ Hwang
Proceedings of the AAAI Conference on Artificial Intelligence 36 (4), 4504-4512, 2022
152022
The model reduction of the Vlasov-Poisson-Fokker-Planck system to the Poisson-Nernst-Planck system via the Deep Neural Network Approach
JY Lee, JW Jang, HJ Hwang
ESAIM: Mathematical Modelling and Numerical Analysis (ESAIM: M2AN) 55 (5 …, 2021
122021
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork
JY Lee, CHO SungWoong, HJ Hwang
The Eleventh International Conference on Learning Representations, 2022
32022
Pseudo-Differential Integral Operator for Learning Solution Operators of Partial Differential Equations
JY Shin, JY Lee, HJ Hwang
arXiv preprint arXiv:2201.11967, 2022
12022
Finite Element Operator Network for Solving Parametric PDEs
JY Lee, S Ko, Y Hong
arXiv preprint arXiv:2308.04690, 2023
2023
물리 정보 기계학습의 발전 및 응용
이재용, 손휘재
전자공학회지 50 (No.6), 50-58, 2023
2023
opPINN: Physics-informed neural network with operator learning to approximate solutions to the Fokker-Planck-Landau equation
JY Lee, J Jang, HJ Hwang
Journal of Computational Physics 480, 112031, 2023
2023
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