Scholar
Youngkyu Lee
Google Scholar ID: X154AUAAAAAJ
Brown University
Computational mathematics
Parallel computation
Neural network
Machine learning
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Citations & Impact
All-time
Citations
59
H-index
5
i10-index
1
Publications
13
Co-authors
16
list available
Publications
8 items
Spectrally Safe Neural Operator Warm-Starts for Large-Scale Newton Solvers
2026
Cited
0
NSPOD: acceleratingthe convergence ofKrylov-based iterative linearsolvers via approximated PODs
2026
Cited
0
Hybrid Iterative Solvers with Geometry-Aware Neural Preconditioners for Parametric PDEs
2025
Cited
0
A Neural-Operator Preconditioned Newton Method for Accelerated Nonlinear Solvers
2025
Cited
0
Residual-guided AI-CFD hybrid method enables stable and scalable simulations: from 2D benchmarks to 3D applications
2025
Cited
0
Leveraging Operator Learning to Accelerate Convergence of the Preconditioned Conjugate Gradient Method
2025
Cited
0
Physics-Guided Multi-Fidelity DeepONet for Data-Efficient Flow Field Prediction
2025
Cited
0
Two-level overlapping additive Schwarz preconditioner for training scientific machine learning applications
arXiv.org · 2024
Cited
3
Co-authors
14 total
George Em Karniadakis
The Charles Pitts Robinson and John Palmer Barstow Professor of Applied Mathematics and Engineering
Chang-Ock Lee
KAIST
Zongren Zou
Postdoc at California Institute of Technology
Eli Turkel
Professor of Mathematics, Tel Aviv University
Shanqing Liu
Division of Applied Mathematics, Brown University
Rishikesh Ranade
Senior Engineer - Physics ML, NVIDIA
Jay P. Pathak
Sr. Director, Software Development, Ansys Inc
Jérôme Darbon
Division of Applied Mathematics, Brown University
