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J-GLOBAL ID:201601009856388353   Update date: Jul. 16, 2024

Kashiwa Kouji

カシワ コウジ | Kashiwa Kouji
Affiliation and department:
Research field  (1): Theoretical studies related to particle-, nuclear-, cosmic ray and astro-physics
Research theme for competitive and other funds  (5):
  • 2022 - 2027 Unification of Computational Physics and Machine Learning
  • 2019 - 2023 Challenge to the sign problem via path optimization
  • 2018 - 2021 Investigation of confinement-deconfinement transition from topological transition
  • 2014 - 2017 虚数化学ポテンシャルと強磁場を利用したQCD相構造と状態方程式の定量的決定
  • 2009 - 2010 実数および虚数化学ポテンシャル領域におけるQCD相図の統一的解明
Papers (75):
  • Hiroaki Kouno, Kouji Kashiwa. Hadron-quark transition and chiral symmetry restoration at high density. Physical Review D. 2024
  • Kouji Kashiwa, Yusuke Namekawa, Akira Ohnishi, Hayato Takase. Application of the path optimization method to a discrete spin system. Physical Review D. 2023
  • Kazuo Ghoroku, Kouji Kashiwa, Yoshimasa Nakano, Motoi Tachibana, Fumihiko Toyoda. Instability of holographic cold compact stars with a color superconducting core. Physical Review D. 2023. 107. 12
  • Hayato Antoku, Kouji Kashiwa. Some Aspects of Persistent Homology Analysis on Phase Transition: Examples in an Effective QCD Model with Heavy Quarks. Universe. 2023. 9. 2. 82-82
  • Yusuke Namekawa, Kouji Kashiwa, Hidefumi Matsuda, Akira Ohnishi, Hayato Takase. Improving efficiency of the path optimization method for a gauge theory. Physical Review D. 2023. 107. 3
more...
MISC (41):
  • Yusuke Namekawa, Kouji Kashiwa, Hidefumi Matsuda, Akira Ohnishi, Hayato Takase. Exploration of Efficient Neural Network for Path Optimization Method. Proceedings of Science. 2023. 430
  • Akira Ohnishi, Yuto Mori, Kouji Kashiwa. Path Optimization for the Sign Problem in Field Theories Using Neural Network. Proceedings of the 8th International Conference on Quarks and Nuclear Physics (QNP2018). 2019
  • Kashiwa, Kouji, Ohnishi, Akira. Roberge-Weiss periodicity and confinement-deconfinement transition. PoS. 2016. LATTICE2016. 027-027
  • Kashiwa, Kouji, Ohnishi, Akira. Topological feature and phase diagram of QCD at complex chemical potential. PoS. 2016. LATTICE2015. 151-151
  • Kashiwa, Kouji. Implications of imaginary chemical potential for model building of QCD. 2016
more...
Books (1):
  • 物理学者、機械学習を使う : 機械学習・深層学習の物理学への応用
    朝倉書店 2019 ISBN:9784254131291
Lectures and oral presentations  (37):
  • トポロジカル秩序との類似を用いた非閉じ込め相転移の研究
    (日本物理学会 第71回年次大会 2016)
  • Inhomogeneous chiral condensates and nonanalyticity under external magnetic field
    (Quark Matter 2015 2015)
  • Topological feature and phase diagram of QCD at complex chemical potential
    (33th International Symposium on Lattice Field Theory (Lattice 2015) 2015)
  • Investigation of QCD phase structures from imaginary chemical potential region by using effective models
    (Hadrons and Hadron Interaction in QCD (HHIQCD 2015) 2015)
  • Phase diagram and Hosotani mechanism in QCD-like theory with compact dimensions
    (Workshop on QCD under extreme condition 2013)
more...
Work history (7):
  • 2022/04 - 現在 Fukuoka Institute of Technology Faculty of Information Engineering Engineering Department of Computer Science and Engineering Professor
  • 2020/04 - 2022/03 Fukuoka Institute of Technology
  • 2018/04 - 2020/03 Fukuoka Institute of Technology Faculty of Information Engineering, Engineering Department of Computer Science and Engineering
  • 2017/04 - 2018/03 京都大学 基礎基礎物理学研究所 特任助教(基研研究員)
  • 2014/04 - 2017/03 京都大学 基礎基礎物理学研究所 学術振興会特別研究員(PD)
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