At the Interface of

Mathematical Physics, Quantum Fields and Machine Learning

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

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October 2024


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  • 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. 

    More information can be found here: https://rakkyeongseong.com/student-projects

    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


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    @rak_seong

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    @rakkyeongseong