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 | 30 | 2020 |
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 | 25 | 2022 |
HyperDeepONet: learning operator with complex target function space using the limited resources via hypernetwork JY Lee, SW Cho, HJ Hwang International Conference on Learning Representations, 2023 | 15 | 2023 |
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 | 15 | 2021 |
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 | 5 | 2023 |
Pseudo-Differential Neural Operator: Generalize Fourier Neural operator for Learning Solution Operators of Partial Differential Equations JY Shin, JY Lee, HJ Hwang Transactions on Machine Learning Research (TMLR), 2024 | 3* | 2024 |
Finite element operator network for solving parametric pdes JY Lee, S Ko, Y Hong arXiv preprint arXiv:2308.04690, 2023 | 3 | 2023 |
Error analysis for finite element operator learning methods for solving parametric second-order elliptic PDEs Y Hong, S Ko, J Lee arXiv preprint arXiv:2404.17868, 2024 | | 2024 |
Structure-Preserving Operator Learning: Modeling the Collision Operator of Kinetic Equations JY Lee, S Schotthöfer, T Xiao, S Krumscheid, M Frank arXiv preprint arXiv:2402.16613, 2024 | | 2024 |
Learning time-dependent PDE via graph neural networks and deep operator network for robust accuracy on irregular grids SW Cho, JY Lee, HJ Hwang arXiv preprint arXiv:2402.08187, 2024 | | 2024 |
물리 정보 기계학습의 발전 및 응용 이재용, 손휘재 전자공학회지 50 (No.6), 50-58, 2023 | | 2023 |