Engr Res Assoc, Mechanical Engineering
Honors & Awards
Kwanjeong Scholarship, Kwanjeong Educational Foundation
Jeongsong scholarship, Jeongsong Foundation
Graduate with Honor, Summa Cum Laude, Seoul National University
- The effects of clinically-derived parametric data uncertainty in patient-specific coronary simulations with deformable walls arXiv:1908.07522 2019
Turbulent flows over superhydrophobic surfaces: flow-induced capillary waves, and robustness of air-water interfaces.
JOUNRNAL OF FLUID MECHANICS
2018; 835: 45–85
View details for DOI 10.1017/jfm.2017.733
- Pressure fluctuations and interfacial robustness in turbulent flows over superhydrophobic surfaces JOURNAL OF FLUID MECHANICS 2015; 783: 448-473
- Multi-fidelity estimators for coronary circulation models under clinically-informed data uncertainty International Journal for Uncertainty Quantification. 2020
Performance of preconditioned iterative linear solvers for cardiovascular simulations in rigid and deformable vessels.
2019; 64: 717–39
Computing the solution of linear systems of equations is invariably the most time consuming task in the numerical solutions of PDEs in many fields of computational science. In this study, we focus on the numerical simulation of cardiovascular hemodynamics with rigid and deformable walls, discretized in space and time through the variational multiscale finite element method. We focus on three approaches: the problem agnostic generalized minimum residual (GMRES) and stabilized bi-conjugate gradient (BICGS) methods, and a recently proposed, problem specific, bi-partitioned (BIPN) method. We also perform a comparative analysis of several preconditioners, including diagonal, block-diagonal, incomplete factorization, multigrid, and resistance based methods. Solver performance and matrix characteristics (diagonal dominance, symmetry, sparsity, bandwidth and spectral properties) are first examined for an idealized cylindrical geometry with physiologic boundary conditions and then successively tested on several patient-specific anatomies representative of realistic cardiovascular simulation problems. Incomplete factorization preconditioners provide the best performance and results in terms of both strong and weak scalability. The BIPN method was found to outperform other methods in patient-specific models with rigid walls. In models with deformable walls, BIPN was outperformed by BICG with diagonal and Incomplete LU preconditioners.
View details for DOI 10.1007/s00466-019-01678-3
View details for PubMedID 31827310
View details for PubMedCentralID PMC6905469
Effect of texture randomization on the slip and interfacial robustness in turbulent flows over superhydrophobic surfaces
PHYSICAL REVIEW FLUIDS
View details for DOI 10.1103/PhysRevFluids.3.044601
- On the scaling of the slip velocity in turbulent flows over superhydrophobic surfaces PHYSICS OF FLUIDS 2016; 28 (2)