Darae Jeong

Prof. Darae Jeong

Department of Mathematics, Kangwon National University, Gangwon-do, 24341, South Korea

Research Focus & Metrics

Academic Career Length

18Years (2009-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 January 2014 in Computational Materials Science
Verified
Journal Article
Closed access
DLDongsun Lee
Dongsun Lee
JHJoo-Youl Huh
Joo-Youl Huh
DJDarae Jeong
Darae Jeong
JSJaemin Shin
Jaemin Shin
AYAna Yun
Ana Yun
Junseok KimJunseok Kim
Junseok Kim

1 September 2010 in Computers & Mathematics with Applications
Verified
Journal Article
Closed access
YLYibao Li
Yibao Li
HLHyun Geun Lee
Hyun Geun Lee
DJDarae Jeong
Darae Jeong
Junseok KimJunseok Kim
Junseok Kim

1 May 2009 in Physica A: Statistical Mechanics and its Applications
Verified
Journal Article
Closed access
JCJeong-Whan Choi
Jeong-Whan Choi
HLHyun Geun Lee
Hyun Geun Lee
DJDarae Jeong
Darae Jeong
Junseok KimJunseok Kim
Junseok Kim

27 October 2016 in Mathematical Problems in Engineering
Verified
Journal Article
Open access
PDF file
Junseok KimJunseok Kim
Junseok Kim
SLSeunggyu Lee
Seunggyu Lee
YCYongho Choi
Yongho Choi
SLSeok-Min Lee
Seok-Min Lee
DJDarae Jeong
Darae Jeong
The celebrated Cahn–Hilliard (CH) equation was proposed to model the process of phase separation in binary alloys by Cahn and Hilliard. Since then the equation has been extended to a variety of chemical, physical, biological, and other engineering fields such as spinodal decomposition, diblock copolymer, image inpainting, multiphase fluid flows, microstructures with elastic inhomogeneity, tumor growth simulation, and topology optimization. Therefore, it is important to understand the basic mechanism of the CH equation in each modeling type. In this paper, we review the applications of the CH equation and describe the basic mechanism of each modeling type with helpful references and computational simulation results.

1 February 2015 in Digital Signal Processing
Verified
Journal Article
Closed access
YLYibao Li
Yibao Li
DJDarae Jeong
Darae Jeong
JCJung-Il Choi
Jung-Il Choi
SLSeunggyu Lee
Seunggyu Lee
Junseok KimJunseok Kim
Junseok Kim

18 August 2020 in Mathematics
Verified
Journal Article
Open access
PDF file
SYSungha Yoon
Sungha Yoon
DJDarae Jeong
Darae Jeong
CLChaeyoung Lee
Chaeyoung Lee
HKHyundong Kim
Hyundong Kim
SKSangkwon Kim
Sangkwon Kim
Junseok KimJunseok Kim
Junseok Kim
In this paper, we review the Fourier-spectral method for some phase-field models: Allen–Cahn (AC), Cahn–Hilliard (CH), Swift–Hohenberg (SH), phase-field crystal (PFC), and molecular beam epitaxy (MBE) growth. These equations are very important parabolic partial differential equations and are applicable to many interesting scientific problems. The AC equation is a reaction-diffusion equation modeling anti-phase domain coarsening dynamics. The CH equation models phase segregation of binary mixtures. The SH equation is a popular model for generating patterns in spatially extended dissipative systems. A classical PFC model is originally derived to investigate the dynamics of atomic-scale crystal growth. An isotropic symmetry MBE growth model is originally devised as a method for directly growing high purity epitaxial thin film of molecular beams evaporating on a heated substrate. The Fourier-spectral method is highly accurate and simple to implement. We present a detailed description of the method and explain its connection to MATLAB usage so that the interested readers can use the Fourier-spectral method for their research needs without difficulties. Several standard computational tests are done to demonstrate the performance of the method. Furthermore, we provide the MATLAB codes implementation in the Appendix A.