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Seung Yeon Cho

Gyeongsang National University

Chinju City

Korea, Republic of (South Korea)

SCHOLARLY PAPERS

3

DOWNLOADS

265

TOTAL CITATIONS

3

Scholarly Papers (3)

Separable Physics-Informed Neural Networks for Solving the Bgk Model of the Boltzmann Equation

Number of pages: 34 Posted: 18 Mar 2024
affiliation not provided to SSRN, Gyeongsang National University, affiliation not provided to SSRN, affiliation not provided to SSRN and Sungkyunkwan University
Downloads 61 (966,800)

Abstract:

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Boltzmann equation, BGK model, Separable Physics Informed Neural Network, Machine learning, Canonical Polyadic Decomposition, Maxwellian Splitting

Separable Physics-Informed Neural Networks for Solving the Bgk Model of the Boltzmann Equation

Number of pages: 36 Posted: 08 Jun 2024
affiliation not provided to SSRN, Gyeongsang National University, affiliation not provided to SSRN, affiliation not provided to SSRN and Sungkyunkwan University
Downloads 45 (1,144,483)
Citation 3

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BGK Model, Separable PINNs, High-dimensional partial differential equation, Canonical polyadic decomposition, Maxwellian Splitting, Micro-macro decomposition

2.

A Conservative Semi-Lagrangian Method for Inhomogeneous Boltzmann Equation

Number of pages: 21 Posted: 02 May 2023
Sebastiano Boscarino, Seung Yeon Cho and Giovanni Russo
affiliation not provided to SSRN, Gyeongsang National University and University of Catania
Downloads 91 (736,406)

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Boltzmann equation, semi-Lagrangian method, fast spectral method, conservative reconstruction, high order time discretization

3.

Mathematical Modeling of Trend Cycle: Fad, Fashion and Classic

Number of pages: 15 Posted: 19 Dec 2023
Hyeong-Ohk Bae, Seung Yeon Cho, Jane Yoo and Seok-Bae YUN
Ajou University - Department of Financial Engineering, Gyeongsang National University, Ajou University - School of Business and affiliation not provided to SSRN
Downloads 68 (907,769)

Abstract:

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trend cycle, SIR model, Fad, Fashion, Classic, mathematical modeling