At the Interface of

Mathematical Physics, Quantum Fields and Machine Learning

Our research group aims to unravel the physical and mathematical structures that underpin the source code of our universe.

Team     Publications

NEWS Highlights

April 2024


  • Conference Session Organization
  • Invited Conference Talk
  • March 2024


  • Journal Publication
  • February 2024


  • Journal Publication
  • January 2024


  • Colloquium Talk
  • Conference Talk
  • Conference Organization
  • Public Event
  • December 2023


  • Invited Conference Talk
  • Invited Conference Talk
  • November 2023


  • Conference Organization
  • Invited Conference Talk
  • Invited Conference Talk
  • Journal Publication
  • October 2023


  • Conference Organization
  • Recent Research Highlights



    Unsupervised Machine Learning Techniques for Exploring Tropical Coamoeba, Brane Tilings and Seiberg Duality

    Rak-Kyeong Seong
    Phys. Rev. D 108, 106009 (2023)
    arXiv:2309.05702
    https://doi.org/10.1103/PhysRevD.108.106009



    Machine Learning Regularization for the Minimum Volume Formula of Toric Calabi-Yau 3-folds


    Eugene Choi, Rak-Kyeong Seong
    Phys. Rev. D 109, 046015 (2024)
    arXiv:2310.19276
    https://doi.org/10.1103/PhysRevD.109.046015

    Supporters

    Our research group is generously sponsored by research grants from:



     


    Student Recruitment

    If you are interested to join our group as a graduate student or an undergraduate internship student, please contact Professor Rak-Kyeong Seong (seong@unist.ac.kr).

    Internship and Graduate Student positions are currently available. 

    arXiv

    arXiv pre-prints
    Rak-Kyeong Seong

    GoogleScholar

    Google Scholar Profile
    Rak-Kyeong Seong

    iNSPIREHEP

    https://inspirehep.net/authors/
    1069262

    LinkedIn
    rak-kyeong-seong-16502268


    Twitter/X
    @rak_seong

    YouTube
    @rakkyeongseong