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

Desired field of research

Research Keywords and Topics

- 수리물리학: 끈 이론, 양자장론, 초대칭 게이지 이론

- AI/머신 러닝의 응용: 딥 러닝, 강화 학습

- 응용수학: 최적화, 전자 설계 자동화

- 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


  • 기타 분야
  • 060000. 국가기술지도(NTRM) 99개 핵심기술 분류에 속하지 않는 기타 연구


  • 녹색기술관련 과제 아님
  • 녹색기술관련 과제 아님
  • 999. 녹색기술 관련과제 아님


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