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Bongsoo Jang

Ulsan National Institute of Science and Technology · 数学

研究室紹介

Professor Bongsoo Jang's research lab specializes in the development and application of advanced numerical and analytical methods for solving complex nonlinear and fractional differential equations arising in fluid dynamics, heat transfer, and mathematical physics. The lab focuses on innovative computational techniques such as modified differential transform methods, predictor-corrector schemes, and spectral methods tailored for fractional-order systems and multiphase flows in porous media. Key research directions include heat transfer in nanofluids, convection in complex geometries, and efficient algorithms for memory-intensive fractional derivatives. The lab emphasizes both theoretical rigor and practical implementation, aiming to deliver high-accuracy, computationally efficient solutions for real-world engineering and scientific problems.

fractional differential equationsnumerical methodsheat transfernanofluidscomputational fluid dynamics

Research Overview

Papers
86
Total Citations
922
Papers (5y)
29
Primary Field
数学

Research Output Trend

Figures are computed from collected data and may differ slightly.

Publications per year (5y)
29total
2022
2023
2024
2025
2026
Citations per year (5y)
262total
20222023202420252026

Selected Papers

15
1
Article|87 citations·2007
Two-point boundary value problems by the extended Adomian decomposition method
Bongsoo Jang
SJR Q2Journal of Computational and Applied Mathematics
Modeling and SimulationMathematics
2
Article|63 citations·2017
Emergence of unusual coexistence states in cyclic game systems
Junpyo Park, Younghae Do, Bongsoo Jang, Ying-Cheng Lai
SJR Q1Scientific ReportsOA

Evolutionary games of cyclic competitions have been extensively studied to gain insights into one of the most fundamental phenomena in nature: biodiversity that seems to be excluded by the principle of natural selection. The Rock-Paper-Scissors (RPS) game of three species and its extensions [e.g., the Rock-Paper-Scissors-Lizard-Spock (RPSLS) game] are paradigmatic models in this field. In all previous studies, the intrinsic symmetry associated with cyclic competitions imposes a limitation on the

Sociology and Political ScienceSocial Sciences
3
Article|57 citations·2019
Dynamic analysis of fractional-order predator–prey biological economic system with Holling type II functional response
H. A. A. El-Saka, Seyeon Lee, Bongsoo Jang
SJR Q1Nonlinear Dynamics
Modeling and SimulationMathematics
4
Article|48 citations·2010
Solving linear and nonlinear initial value problems by the projected differential transform method
Bongsoo Jang
SJR Q1Computer Physics Communications
Modeling and SimulationMathematics
5
Article|41 citations·2023
MHD convective flow of Ag–TiO 2 hybrid nanofluid in an inclined porous annulus with internal heat generation
N. Keerthi Reddy, H. A. Kumara Swamy, M. Sankar, Bongsoo Jang
SJR Q1Case Studies in Thermal EngineeringOA

The current article deals with the computational study of buoyant convection and heat dissipation processes of hybrid nanoliquid saturated in an inclined porous annulus. The fluid flow movement in the porous annular region is modeled using Darcy–Brinkman–Forchheimer model. The vertical boundaries of the cylinder are subjected to uniform but different heating profiles and horizontal surfaces are maintained adiabatic. In the current investigation, for the conservation laws which govern the conside

Biomedical EngineeringEngineering
6
Article|24 citations·2008
New exact travelling wave solutions of nonlinear Klein–Gordon equations
Bongsoo Jang
SJR Q1Chaos Solitons & Fractals
Statistical and Nonlinear PhysicsPhysics and Astronomy
7
Article|23 citations·2009
Comments on “Solving a class of two-dimensional linear and nonlinear Volterra integral equations by the differential transform method”
Bongsoo Jang
SJR Q2Journal of Computational and Applied Mathematics
Modeling and SimulationMathematics
8
Article|22 citations·2024
Machine learning analysis for heat transfer enhancement in nano-encapsulated phase change materials within L-shaped enclosure with heated blocks
H. Thameem Basha, Bongsoo Jang
SJR Q1Applied Thermal Engineering
Mechanical EngineeringEngineering
9
Article|17 citations·2024
Heat transfer and entropy generation analysis in the buoyancy-driven flow of Fe3O4-MWCNT/water hybrid nanofluid within a square enclosure in the presence of fins using machine learning
H. Thameem Basha, Bongsoo Jang
SJR Q2Journal of Thermal Analysis and Calorimetry
Biomedical EngineeringEngineering
10
Article|16 citations·2006
Exact solutions to one dimensional non-homogeneous parabolic problems by the homogeneous Adomian decomposition method
Bongsoo Jang
SJR Q1Applied Mathematics and Computation
Modeling and SimulationMathematics
11
Article|16 citations·2012
Enhanced Multistage Differential Transform Method: Application to the Population Models
Younghae Do, Bongsoo Jang
SJR Q4Abstract and Applied AnalysisOA

We present an efficient computational algorithm, namely, the enhanced multistage differential transform method (E‐MsDTM) for solving prey‐predator systems. Since the differential transform method (DTM) is based on the Taylor series, it is difficult to obtain accurate approximate solutions in large domain. To overcome this difficulty, the multistage differential transform method (MsDTM) has been introduced and succeeded to have reliable approximate solutions for many problems. In MsDTM, it is the

Modeling and SimulationMathematics
12
Article|15 citations·2023
Role of adaptive intraspecific competition on collective behavior in the rock–paper–scissors game
Junpyo Park, Bongsoo Jang
SJR Q1Chaos Solitons & Fractals
Sociology and Political ScienceSocial Sciences
13
Article|14 citations·2024
Heat transfer analysis of hydromagnetic hybrid nanofluid (H2O) containing Ag–TiO2 nanoparticles in a slanted triangular enclosure with heated fins
H. Thameem Basha, Bongsoo Jang
SJR Q2Journal of Thermal Analysis and Calorimetry
Biomedical EngineeringEngineering
14
Article|14 citations·2007
New exact travelling wave solutions of Kawahara type equations
Bongsoo Jang
SJR Q1Nonlinear Analysis
Statistical and Nonlinear PhysicsPhysics and Astronomy
15
Article|14 citations·2024
A Novel Numerical Method for Solving Nonlinear Fractional-Order Differential Equations and Its Applications
Seyeon Lee, Hyunju Kim, Bongsoo Jang
SJR Q2Fractal and FractionalOA

In this article, a considerably efficient predictor-corrector method (PCM) for solving Atangana–Baleanu Caputo (ABC) fractional differential equations (FDEs) is introduced. First, we propose a conventional PCM whose computational speed scales with quadratic time complexity O(N2) as the number of time steps N grows. A fast algorithm to reduce the computational complexity of the memory term is investigated utilizing a sum-of-exponentials (SOEs) approximation. The conventional PCM is equipped with

Modeling and SimulationMathematics

Research Areas

Modeling and SimulationBiomedical EngineeringSociology and Political ScienceComputational MechanicsMechanics of MaterialsStatistical and Nonlinear Physics

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