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Hyeokjoo Park
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[j7]Hyeokjoo Park
:
On the approximation capability of shallow and deep neural networks having smooth activations with respect to the Sobolev norm. Neural Networks 201: 108935 (2026)- 2025
[j6]Gwanghyun Jo
, Hyeokjoo Park
:
A family of even-order edge-oriented nonconforming finite elements in 2D with efficient locally conservative flux reconstruction. Comput. Math. Appl. 196: 127-134 (2025)
[j5]Hyeokjoo Park
, Gwanghyun Jo
:
A physics-informed neural network based method for the nonlinear Poisson-Boltzmann equation and its error analysis. J. Comput. Phys. 522: 113579 (2025)
[j4]Eun-Jae Park
, Hyeokjoo Park
:
A parameter-robust Crouzeix-Raviart finite element method for the Brinkman model. J. Sci. Comput. 105(3): 96 (2025)- 2024
[j3]Gwanghyun Jo
, Hyeokjoo Park
:
Analysis of Discontinuous Bubble Immersed Finite Element Methods for Elliptic Interface Problems with Nonhomogeneous Interface Conditions. J. Sci. Comput. 101(3): 75 (2024)- 2023
[j2]Hyeokjoo Park
, Do Y. Kwak
:
An immersed weak Galerkin method for elliptic interface problems on polygonal meshes. Comput. Math. Appl. 147: 185-201 (2023)- 2022
[j1]Do-Young Kwak
, Hyeokjoo Park
:
A formal construction of a divergence-free basis in the nonconforming virtual element method for the Stokes problem. Numer. Algorithms 91(1): 449-471 (2022)
[i3]Hyeokjoo Park
, Do-Young Kwak:
An Immersed Weak Galerkin Method for Elliptic Interface Problems on Polygonal Meshes. CoRR abs/2208.07542 (2022)- 2021
[i2]Do-Young Kwak, Hyeokjoo Park:
A formal construction of a divergence-free basis in the nonconforming virtual element method for the Stokes problem. CoRR abs/2108.09967 (2021)
[i1]Do-Young Kwak, Hyeokjoo Park:
Lowest-order virtual element methods for linear elasticity problems. CoRR abs/2108.09971 (2021)
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