Mathematical Physics and AI Lab

수리물리학 및 AI 연구실

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 수리물리학 및 AI 연구실

I am doing research at the interface of mathematics and theoretical physics, with a particular emphasis on the mathematical structures that arise in String Theory, Quantum Field Theory and supersymmetric gauge theories. I have also pioneered the introduction of machine learning tools in the study of moduli spaces of supersymmetric gauge theories realized in String Theory.

Major research field

1. Mathematical Physics, 2. AI/Machine Learning, 3. Applied Mathematics

Desired field of research

Research Keywords and Topics

- Mathematical Physics: String Theory, Quantum Field Theory, Supersymmetric Gauge Theories

- Applications of AI/Machine Learning: Deep Learning, Reinforcement Learning

- Applied Mathematics: Optimization, Electronic Design Automation (EDA)

Research Publications

[Note: authors are listed alphabetically]
1. COMMUNICATIONS IN MATHEMATICAL PHYSICS / Calabi-Yau Volumes and Reflexive Polytopes / Yang-Hui He, Rak-Kyeong Seong (corresponding author), Shing-Tung Yau / 2018-04

2. PHYSICAL REVIEW D / Machine Learning of Calabi-Yau Volumes / Daniel Krefl, Rak-Kyeong Seong (corresponding author) / 2017-09

3. JOURNAL OF HIGH-ENERGY PHYSICS / Quadrality for Supersymmetric Matrix Models / Sebastian Franco, Sangmin Lee, Rak-Kyeong Seong (corresponding author), Cumrun Vafa / 2017-07

4. JOURNAL OF HIGH-ENERGY PHYSICS / Fano 3-Folds, Reflexive Polytopes and Brane Brick Models / Sebastian Franco, Rak-Kyeong Seong (corresponding author) / 2022-08

5. JOURNAL OF HIGH-ENERGY PHYSICS / Brane Brick Models for the Sasaki-Einstein 7-Manifolds Y^{p,k}(CP^1 x CP^1) and Y^{p,k}(CP^2) / Sebastian Franco, Dongwook Ghim, Rak-Kyeong Seong (corresponding author) / 2023-03


  • NA. 수학
  • NA05. 응용수학
  • NA0508. 수리물리


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  • 녹색기술관련 과제 아님
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  • 999. 녹색기술 관련과제 아님


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  • 070000. 위의 미래유망신기술(6T) 103개 세분류에 속하지 않는 기타 연구