- * 프린트는 Chrome에 최적화 되어있습니다. print

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. 양자장이론 및 끈이론, 2. 수리물리학, 3. AI/머신러닝 / 1. Quantum Field Theory and String Theory, 2. Mathematical Physics, 3. AI/Machine Learning
Desired field of research
Research Keywords and Topics
- 끈 이론, 양자장론, 수리물리학
- AI/머신 러닝의 응용: 딥 러닝, 강화 학습
- 응용수학: 최적화, 전자 설계 자동화
- String Theory, Quantum Field Theory, Mathematical Physics
- Applications of AI/Machine Learning: Deep Learning, Reinforcement Learning
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
국가과학기술표준분류
- NB. 물리학
- NB01. 입자·장물리
- NB0102. 장이론/끈이론/양자중력이론
국가기술지도분류
- 기타 분야
- 060000. 국가기술지도(NTRM) 99개 핵심기술 분류에 속하지 않는 기타 연구
녹색기술분류
- 녹색기술관련 과제 아님
- 녹색기술관련 과제 아님
- 999. 녹색기술 관련과제 아님
6T분류
- 기타 분야
- 기타 분야
- 070000. 위의 미래유망신기술(6T) 103개 세분류에 속하지 않는 기타 연구