| Two-level group convolution Y Lee, J Park, CO Lee Neural Networks 154, 323-332, 2022 | 17 | 2022 |
| Two-level overlapping additive Schwarz preconditioner for training scientific machine learning applications Y Lee, A Kopaničáková, GE Karniadakis Computer Methods in Applied Mechanics and Engineering 448, 118400, 2026 | 12 | 2026 |
| Fast meta-solvers for 3D complex-shape scatterers using neural operators trained on a non-scattering problem Y Lee, S Liu, Z Zou, A Kahana, E Turkel, R Ranade, J Pathak, ... Computer Methods in Applied Mechanics and Engineering 446, 118231, 2025 | 11* | 2025 |
| Parareal neural networks emulating a parallel-in-time algorithm Y Lee, J Park, CO Lee IEEE Transactions on Neural Networks and Learning Systems 35 (5), 6353-6364, 2022 | 10 | 2022 |
| A nonoverlapping domain decomposition method for extreme learning machines: Elliptic problems CO Lee, Y Lee, B Ryoo Computers & Mathematics with Applications 189, 109-128, 2025 | 9 | 2025 |
| Automatic discovery of optimal meta-solvers via multi-objective optimization Y Lee, S Liu, J Darbon, GE Karniadakis arXiv preprint arXiv:2412.00063, 2024 | 6 | 2024 |
| Leveraging operator learning to accelerate convergence of the preconditioned conjugate gradient method A Kopaničáková, Y Lee, GE Karniadakis Machine Learning for Computational Science and Engineering 1 (2), 39, 2025 | 4 | 2025 |
| Data-efficient deep operator network for unsteady flow: A multi-fidelity approach with physics-guided subsampling S Yang, Y Lee, N Kang Computer Methods in Applied Mechanics and Engineering 446, 118254, 2025 | 4* | 2025 |
| Automatic discovery of optimal meta-solvers for time-dependent nonlinear PDEs Y Lee, S Liu, J Darbon, GE Karniadakis arXiv preprint arXiv:2507.00278, 2025 | 3 | 2025 |
| Balanced group convolution: an improved group convolution based on approximability estimates Y Lee, J Park, CO Lee Pattern Analysis and Applications 28 (4), 161, 2025 | 2 | 2025 |
| A Neural-Operator Preconditioned Newton Method for Accelerated Nonlinear Solvers Y Lee, S Liu, J Darbon, GE Karniadakis arXiv preprint arXiv:2511.08811, 2025 | 1 | 2025 |
| A Parareal Architecture for Very Deep Convolutional Neural Networks CO Lee, Y Lee, J Park Domain Decomposition Methods in Science and Engineering XXVI, 407-415, 2023 | 1 | 2023 |
| Hybrid Iterative Solvers with Geometry-Aware Neural Preconditioners for Parametric PDEs Y Lee, FL Florencio, J Pathak, GE Karniadakis arXiv preprint arXiv:2512.14596, 2025 | | 2025 |
| Residual-guided AI-CFD hybrid method enables stable and scalable simulations: from 2D benchmarks to 3D applications S Baral, Y Lee, S Khanal, J Jeon arXiv preprint arXiv:2510.21804, 2025 | | 2025 |
| Parallel computation techniques to accelerate training of deep neural networks Y Lee KAIST, 2023 | | 2023 |
| Hybrid Iterative Solvers with Neural Preconditioners for Time-dependent nonlinear PDEs Y Lee, S Liu, J Darbon, GE Karniadakis 2026 Joint Mathematics Meetings (JMM 2026), 0 | | |
George Em KarniadakisThe Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and EngineeringVerified email at brown.edu
