SEOK-BAE YUN

SEOK-BAE YUN

Sungkyunkwan University

H-index: 17

Asia-South Korea

About SEOK-BAE YUN

SEOK-BAE YUN, With an exceptional h-index of 17 and a recent h-index of 15 (since 2020), a distinguished researcher at Sungkyunkwan University, specializes in the field of Partial differential equations, Kinetic equations, Boltzmann equation, BGK model.

His recent articles reflect a diverse array of research interests and contributions to the field:

Separable Physics-informed Neural Networks for Solving the BGK Model of the Boltzmann Equation

Separable physics-informed neural networks

Physics-informed convolutional transformer for predicting volatility surface

The Shakhov model near a global Maxwellian

Pixel: Physics-informed cell representations for fast and accurate pde solvers

Relativistic BGK model for gas mixtures

On the convergence result of the gradient-push algorithm on directed graphs with constant stepsize

BGK Model for Two-Component Gases Near a Global Maxwellian

SEOK-BAE YUN Information

University

Position

___

Citations(all)

877

Citations(since 2020)

644

Cited By

536

hIndex(all)

17

hIndex(since 2020)

15

i10Index(all)

33

i10Index(since 2020)

27

Email

University Profile Page

Sungkyunkwan University

Google Scholar

View Google Scholar Profile

SEOK-BAE YUN Skills & Research Interests

Partial differential equations

Kinetic equations

Boltzmann equation

BGK model

Top articles of SEOK-BAE YUN

Title

Journal

Author(s)

Publication Date

Separable Physics-informed Neural Networks for Solving the BGK Model of the Boltzmann Equation

arXiv preprint arXiv:2403.06342

Jaemin Oh

Seung Yeon Cho

Seok-Bae Yun

Eunbyung Park

Youngjoon Hong

2024/3/10

Separable physics-informed neural networks

Advances in Neural Information Processing Systems

Junwoo Cho

Seungtae Nam

Hyunmo Yang

Seok-Bae Yun

Youngjoon Hong

...

2024/2/13

Physics-informed convolutional transformer for predicting volatility surface

Quantitative Finance

Soohan Kim

Seok-Bae Yun

Hyeong-Ohk Bae

Muhyun Lee

Youngjoon Hong

2024/1/9

The Shakhov model near a global Maxwellian

Nonlinear Analysis: Real World Applications

Gi-Chan Bae

Seok-Bae Yun

2023/4/1

Pixel: Physics-informed cell representations for fast and accurate pde solvers

Proceedings of the AAAI Conference on Artificial Intelligence

Namgyu Kang

Byeonghyeon Lee

Youngjoon Hong

Seok-Bae Yun

Eunbyung Park

2023/6/26

Relativistic BGK model for gas mixtures

arXiv preprint arXiv:2306.05349

Byung-Hoon Hwang

Myeong-Su Lee

Seok-Bae Yun

2023/6/8

On the convergence result of the gradient-push algorithm on directed graphs with constant stepsize

arXiv preprint arXiv:2302.08779

Woocheol Choi

Doheon Kim

Seok-Bae Yun

2023/2/17

BGK Model for Two-Component Gases Near a Global Maxwellian

SIAM Journal on Mathematical Analysis

Gi-Chan Bae

Christian Klingenberg

Marlies Pirner

Seok-Bae Yun

2023/4/30

Large amplitude problem of BGK model: Relaxation to quadratic nonlinearity

arXiv preprint arXiv:2301.09857

Gi-Chan Bae

Gyounghun Ko

Donghyun Lee

Seok-Bae Yun

2023/1/24

Mathematical modeling of trend cycle: Fad, Fashion and Classic

arXiv preprint arXiv:2304.10225

Hyeong-Ohk Bae

Seung Yeon Cho

Jane Yoo

Seok-Bae Yun

2023/4/20

Inexact Online Proximal Mirror Descent for time-varying composite optimization

arXiv preprint arXiv:2304.04710

Woocheol Choi

Myeong-Su Lee

Seok-Bae Yun

2023/4/10

The ES-BGK for the Polyatomic Molecules with Infinite Energy

Journal of Statistical Physics

Sung-jun Son

Seok-Bae Yun

2023/7/26

On a relativistic BGK model for polyatomic gases near equilibrium

SIAM Journal on Mathematical Analysis

Byung-Hoon Hwang

Tommaso Ruggeri

Seok-Bae Yun

2022

Convergence results of a nested decentralized gradient method for non-strongly convex problems

Journal of Optimization Theory and Applications

Woocheol Choi

Doheon Kim

Seok-Bae Yun

2022/10

Effect of time delay on flocking dynamics

Networks and Heterogeneous Media

Hyeong-Ohk Bae

Seung Yeon Cho

Jane Yoo

Seok-Bae Yun

2022/7/20

Cauchy problem for the ES-BGK model with the correct Prandtl number

Partial Differential Equations and Applications

Sung-jun Son

Seok-Bae Yun

2022/6

Convergence analysis of unsupervised Legendre-Galerkin neural networks for linear second-order elliptic PDEs

arXiv preprint arXiv:2211.08900

Seungchan Ko

Seok-Bae Yun

Youngjoon Hong

2022/11/16

Convergence estimates of a semi-Lagrangian scheme for the ellipsoidal BGK model for polyatomic molecules

ESAIM: Mathematical Modelling and Numerical Analysis

Sebastiano Boscarino

Seung Yeon Cho

Giovanni Russo

Seok-Bae Yun

2022/5/1

Separable PINN: Mitigating the curse of dimensionality in physics-informed neural networks

arXiv preprint arXiv:2211.08761

Junwoo Cho

Seungtae Nam

Hyunmo Yang

Seok-Bae Yun

Youngjoon Hong

...

2022/11/16

BGK model for multi-component gases near a global Maxwellian

arXiv preprint arXiv:2201.01611

Gi-Chan Bae

Christian Klingenberg

Marlies Pirner

Seok-Bae Yun

2022/1/5

See List of Professors in SEOK-BAE YUN University(Sungkyunkwan University)