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| 1 | Reaction Rate Weighted Multilayer Nuclear Reaction Network显示文摘Nuclear reaction rate A is a significant factor in processes of nucleosyntheses.A multi-layer directed-weighted nuclear reaction network,in which the reaction rate is taken as the weight,and neutron,proton,4 He and the remainder nuclei as the criteria for different reaction layers,is for the first time built based on all thermonuclear reactions in the JINA REACLIB database.Our results show that with the increase in the stellar temperature T9,the distribution of nuclear reaction rates on the R-layer network demonstrates a transition from unimodal to bimodal distributions.Nuclei on the R-layer in the region of A=[1,2.5×101]have a more complicated out-going degree distribution than that in the region of A=[1011,1013],and the number of involved nuclei at T9=1 is very different from the one at T9=3.The redundant nuclei in the region of A=[1,2.5×101]at T9=3 prefer(γ,p)and(γ,α)reactions to the ones at T9=1,which produce nuclei around theβstable line.This work offers a novel way to the big-data analysis on the nuclear reaction network at stellar temperatures. | 刘焕玲 韩定定 纪鹏 马余刚 | 2020 | Chinese Physics Letters2020，37，11： | 0 |
| 2 | 神经网络方法在核质量中的应用显示文摘基于两个具有代表性的宏观微观模型——有限程液滴模型(FRDM)和Weizs?cker-Skyrme模型(WS4),本文利用人工神经网络方法对模型所给出的数据进行了优化。加入神经网络方法后,FRDM所给出的结合能数据与2095个实验数据之间的均方根偏差从0.579 MeV降到0.354 MeV,WS4所给出的结合能数据与2095个实验数据之间的均方根偏差从0.292 MeV降到0.210 MeV。本文基于优化后的数据计算了Z=82同位素链的单中子分离能,FRDM和WS4单中子分离能的均方根偏差分别为39.9 keV和40.8 keV。此外,本文结合原始模型所给出的结合能数据,利用神经网络方法将数据进行了外推,FRDM和WS4在超重核区单中子分离能的均方根偏差分别为40.1 keV和188.1 keV。本文预测了新元素Z=119和Z=120同位素链的中子分离能,结果可为新元素合成的理论研究提供数据参考。 | 李佳星 赵天亮 马娜娜 明星宸 张鸿飞 | 2023 | 原子能科学技术2023，57，4： | 0 |
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