What makes a numerical simulation faithful to the physical world?
In numerical analysis and scientific computing, traditional methods have emphasized stability and accuracy, often assuming that sufficiently refined meshes ensure reliability. Yet real phenomena are high-dimensional and computationally demanding, and in extreme regimes, fine meshes alone cannot guarantee meaningful results.
My research addresses this challenge by developing structure-preserving methods that respect the underlying physical laws, together with efficient discretizations for large-scale systems. These principles guide my work on transport, fluid dynamics, and multiphysics PDEs.
Efficient and Robust Solvers for Incompressible Flow - Code on GitHub: EG-Stokes_public
NSF DMS-2513394, Computational Mathematics Program, "Finite Elements in the Quantum Era", August 2025 - July 2028. Co-PI (with J. Adler and X. Hu)
S. Cao, L. Chen, and S. Lee. Edge-averaged virtual element methods for convection-diffusion and convection-dominated problems. Journal of Scientific Computing, 104, 70 (2025).
Z. Chen, S. Lee, and L. Mu. Automated detection and characterization of singularities in functions using neural networks-from FFT signals. International Journal of Numerical Analysis and Modeling, 21(5) (2024) 629-651.
S. Lee and L. Mu. A uniform and pressure-robust enriched Galerkin method for the Brinkman equations. Journal of Scientific Computing, 99, 39 (2024).
S. Lee and L. Mu. A low-cost, parameter-free, and pressure-robust enriched Galerkin method for the Stokes equations. Computers and Mathematics with Applications, 166 (2024) 51-64.
X. Hu, S. Lee, L. Mu, and S.-Y. Yi. Pressure-robust enriched Galerkin methods for the Stokes equations. Journal of Computational and Applied Mathematics, 436 (2024) 115449.
J. Ahn, S. Lee, and E.-J. Park. C0 interior penalty methods for a dynamic nonlinear beam model. Applied Mathematics and Computation, 339 (2018) 685-700.
S. Jeong, S. Lee, and K. Wang. A C0 weak Galerkin method with preconditioning for optimal control problems with general tracking and pointwise state constraints. Under revision for JSC (2025).
S. Lee and L. Mu. Stable lowest-order finite element schemes for the time-dependent Stokes equations. (manuscript in preparation).
A. Adler, X. Hu, and S. Lee. Unified spatiotemporal formulations with physics-preserving structures for time-dependent convection-diffusion problems. (manuscript nearly completed, to be submitted).
S. Jeong, S. Lee, and S. Liu. A monotone finite element scheme preserving desired-state bounds in convection-dominated optimal control problems. (manuscript nearly completed, to be submitted).