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2022 年度 実績報告書

Ab initio nuclear Density Functional Theory with uncertainty quantification from Functional Renormalization Group in Kohn-Sham scheme

研究課題

研究課題/領域番号 18K13549
研究機関東京大学

研究代表者

LIANG HAOZHAO  東京大学, 大学院理学系研究科(理学部), 准教授 (50729225)

研究期間 (年度) 2018-04-01 – 2023-03-31
キーワード原子核密度汎関数理論 / 汎関数繰り込み群法
研究実績の概要

For the development of ab initio nuclear Density Functional Theory (DFT) from the Functional Renormalization Group (FRG) method, we started from the key strategies demonstrated by using the zero-dimensional phi^4 theory [Phys. Lett. B 779, 436 (2018)], to the application to the (1+1)-dimensional nuclear systems [master thesis by Hikaru Sakakibara (U. Tokyo)], to the application to the (3+1)-dimensional electron gas. At this stage, we are finalizing the formalism and numerical codes of the energy density functional (EDF) with the generalized gradient approximation.
In parallel, we have been investigating several other possible strategies for developing the ab initio nuclear DFT. This includes (i) the combination of the inverse Kohn-Sham method and the density functional perturbation theory [J. Phys. B 52, 245003 (2019)], (ii) the covariant ab initio calculations and the constraints on tensor force [Phys. Rev. C 97, 054312 (2018)], (iii) a series of studies on the ab initio charge symmetry breaking in nuclear EDF [Phys. Rev. C 105, L021304 (2022)], and (iv) the latest studies with the combinations of nuclear DFT, the Kohn-Sham scheme, and machine learning approaches [Phys. Lett. B 840, 137870 (2023); Phys. Rev. C 106, 024306 (2022); Phys. Rev. C 106, L021303 (2022)].
During the whole research period, we have published 28 peer-refereed papers, including 1 invited review in Progress in Particle and Nuclear Physics entitled “Towards an ab initio covariant density functional theory for nuclear structure”, presenting our ideas on ab initio nuclear DFT for the coming decade.

  • 研究成果

    (12件)

すべて 2023 2022 その他

すべて 国際共同研究 (2件) 雑誌論文 (6件) (うち国際共著 4件、 査読あり 6件、 オープンアクセス 6件) 学会発表 (4件) (うち国際学会 2件、 招待講演 3件)

  • [国際共同研究] Anhui University/Southwest University/Institute of Modern Physics, CAS(中国)

    • 国名
      中国
    • 外国機関名
      Anhui University/Southwest University/Institute of Modern Physics, CAS
    • 他の機関数
      1
  • [国際共同研究] Iowa State University(米国)

    • 国名
      米国
    • 外国機関名
      Iowa State University
  • [雑誌論文] A Kohn-Sham scheme based neural network for nuclear systems2023

    • 著者名/発表者名
      Yang Zu-Xing、Fan Xiao-Hua、Li Zhi-Pan、Liang Haozhao
    • 雑誌名

      Physics Letters B

      巻: 840 ページ: 137870

    • DOI

      10.1016/j.physletb.2023.137870

    • 査読あり / オープンアクセス / 国際共著
  • [雑誌論文] A local-density-approximation description of high-momentum tails in isospin asymmetric nuclei2022

    • 著者名/発表者名
      Fan Xiao-Hua、Yang Zu-Xing、Yin Peng、Chen Peng-Hui、Dong Jian-Min、Li Zhi-Pan、Liang Haozhao
    • 雑誌名

      Physics Letters B

      巻: 834 ページ: 137482

    • DOI

      10.1016/j.physletb.2022.137482

    • 査読あり / オープンアクセス / 国際共著
  • [雑誌論文] Role of the effective range in the density-induced BEC-BCS crossover2022

    • 著者名/発表者名
      Tajima Hiroyuki、Liang Haozhao
    • 雑誌名

      Physical Review A

      巻: 106 ページ: 043308

    • DOI

      10.1103/PhysRevA.106.043308

    • 査読あり / オープンアクセス
  • [雑誌論文] Calculation of beta-decay half-lives within a Skyrme-Hartree-Fock-Bogoliubov energy density functional with the proton-neutron quasiparticle random-phase approximation and isoscalar pairing strengths optimized by a Bayesian method2022

    • 著者名/発表者名
      Minato Futoshi、Niu Zhongming、Liang Haozhao
    • 雑誌名

      Physical Review C

      巻: 106 ページ: 024306

    • DOI

      10.1103/PhysRevC.106.024306

    • 査読あり / オープンアクセス / 国際共著
  • [雑誌論文] Nuclear mass predictions with machine learning reaching the accuracy required by r-process studies2022

    • 著者名/発表者名
      Niu Z. M.、Liang H. Z.
    • 雑誌名

      Physical Review C

      巻: 106 ページ: L021303

    • DOI

      10.1103/PhysRevC.106.L021303

    • 査読あり / オープンアクセス / 国際共著
  • [雑誌論文] Biexciton-like quartet condensates in an electron-hole liquid2022

    • 著者名/発表者名
      Guo Yixin、Tajima Hiroyuki、Liang Haozhao
    • 雑誌名

      Physical Review Research

      巻: 4 ページ: 023152

    • DOI

      10.1103/PhysRevResearch.4.023152

    • 査読あり / オープンアクセス
  • [学会発表] Exotic nuclear physics for astrophysics2022

    • 著者名/発表者名
      Liang Haozhao
    • 学会等名
      International Workshop on Origin of Elements and Cosmic Evolution: From Big-Bang to Supernovae and Mergers
    • 国際学会 / 招待講演
  • [学会発表] Towards ab initio Nuclear Density functional Theory2022

    • 著者名/発表者名
      Liang Haozhao
    • 学会等名
      Summer School on Exotic Nuclei
    • 国際学会 / 招待講演
  • [学会発表] Nuclear mass predictions with machine learning reaching the accuracy required by r-process studies2022

    • 著者名/発表者名
      Liang Haozhao
    • 学会等名
      Workshop on combining nuclear theory and machine learning for fundamental studies and applications
  • [学会発表] Quantum computing for nuclear structure properties?2022

    • 著者名/発表者名
      Liang Haozhao
    • 学会等名
      Workshop “Fundamentals in density functional theory”
    • 招待講演

URL: 

公開日: 2023-12-25  

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