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Seok-Bae Yun

7 papers hereh-index 219 citations8 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author6

Across the 7 of 7 papers where every author was matched, so the position is known.

fields
  • math.AP4
  • math.NA3
same name
  • Seok-Bae Yun — 1 paper
  • Seok-Bae Yun — 1 paper, h 2

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20242026
most citedSeparable Physics-informed Neural Networks for Solving the BGK Model of the Boltzmann Equation

8 citations · 8 across the 6 of their papers we have counts for

collaborators
Showing math.NAShow all

3 papers · 1 filter

math.NA2026

Convergence of an Eulerian scheme for the Vlasov-Poisson-BGK model

Seung Yeon Cho, Sungsu Park, Seok-Bae Yun

The Vlasov-Poisson-BGK (VPBGK) model is a kinetic model for describing the dynamics of collisional plasmas. Although various numerical schemes have been developed for it, a corresp…

math.NA2025

A conservative semi-Lagrangian scheme for the ellipsoidal BGK model of the Boltzmann equation

Sebastiano Boscarino, Seung Yeon Cho, Giovanni Russo +1

In this paper, we propose a high order conservative semi-Lagrangian scheme (SL) for the ellipsoidal BGK model of the Boltzmann transport equation. To avoid the time step restrictio…

math.NA2024★ 8 cited

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

Jaemin Oh, Seung Yeon Cho, Seok-Bae Yun +2

In this study, we introduce a method based on Separable Physics-Informed Neural Networks (SPINNs) for effectively solving the BGK model of the Boltzmann equation. While the mesh-fr…

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