研究課題/領域番号 |
18K13549
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研究機関 | 国立研究開発法人理化学研究所 |
研究代表者 |
LIANG HAOZHAO 国立研究開発法人理化学研究所, 仁科加速器科学研究センター, 専任研究員 (50729225)
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研究期間 (年度) |
2018-04-01 – 2022-03-31
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キーワード | 原子核密度汎関数法 |
研究実績の概要 |
The key strategies of the present study on ab initio nuclear density functional theory from functional renormalization group in Kohn-Sham scheme have been demonstrated by using the zero-dimensional phi^4 theory. The results have been published in [Phys. Lett. B 779 (2018) 436]. For the Coulomb energy density functional for atomic nuclei, we have realized the Coulomb exchange functional with the generalized gradient approximation for the self-consistent Skyrme Hartree-Fock calculations. The results have been published in [Phys. Rev. C 97 (2018) 044319; 99 (2019) 024309]. To connect the state-of-the-art nuclear ab initio calculations and nuclear density functional theory, we proposed the evolution of spin-orbit splitting in neutron drops is one of the best guidance to constrain the strengths of the tensor force in nuclear energy density functional [Phys. Rev. C 97 (2018) 054312]. For the interdisciplinary application to the astrophysical rapid-neutron capture process, a Bayesian neural network method has been developed and applied to the predictions of nuclear beta-decay half-lives with reasonable theoretical uncertainty evaluations [arXiv:1810.03156].
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現在までの達成度 (区分) |
現在までの達成度 (区分)
2: おおむね順調に進展している
理由
The research is progressing rather smoothly with the supports of RIKEN and several international collaborations.
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今後の研究の推進方策 |
The research will be carried out as plans. In particular, in FY2019, we will focus on the development of our Kohn-Sham functional renormalization group method to the 1+1 dimensional nuclei. Investigations and applications of the relevant studies will also be processed in parallel.
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次年度使用額が生じた理由 |
It is better to buy a new computer in FY2019 in stead of FY2018, because the computation resources were enough in FY2018.
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