Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Zu-Xing Yang"'
Publikováno v:
Physics Letters B, Vol 848, Iss , Pp 138359- (2024)
A convolutional neural network-based classifier is elaborated to retrace the initial orientation of deformed nucleus-nucleus collisions by integrating multiple typical experimental observables. The isospin-dependent Boltzmann-Uehling-Uhlenbeck transp
Externí odkaz:
https://doaj.org/article/293f9783c81143d19455bfdac41efe1a
Publikováno v:
Physics Letters B, Vol 840, Iss , Pp 137870- (2023)
A Kohn-Sham scheme based multi-task neural network is elaborated for the supervised learning of nuclear shell evolution. The training set is composed of the single-particle wave functions and occupation probabilities of 320 nuclei, calculated by the
Externí odkaz:
https://doaj.org/article/d6b63883a2cf42b7a034cce1355648fd
Autor:
Xiao-Hua Fan, Zu-Xing Yang, Peng Yin, Peng-Hui Chen, Jian-Min Dong, Zhi-Pan Li, Haozhao Liang
Publikováno v:
Physics Letters B, Vol 834, Iss , Pp 137482- (2022)
We adapt the local density approximation to add the high-momentum tails (HMTs) to finite nuclei's Slater-determinant momentum distributions. The HMTs are extracted by the extended Brueckner-Hartree-Fock (EBHF) method or by the lowest order cluster ap
Externí odkaz:
https://doaj.org/article/5503916d73d14faabeab7b165e2f1032
Publikováno v:
Physics Letters B, Vol 823, Iss , Pp 136650- (2021)
With the datasets of the density distributions calculated by Skyrme density functional theories, we elaborated deep neural networks to generate the density profile and provide a table of related hyperparameters set for similar applications of other s
Externí odkaz:
https://doaj.org/article/1cd0c4711f174ceeacd82d62fccdcfbf
Publikováno v:
Nuclear Science and Techniques. 34
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c09d20777ee3b75c23e7850f52503a68
https://doi.org/10.1007/s41365-022-01157-0
https://doi.org/10.1007/s41365-022-01157-0
Publikováno v:
Physics Letters
A Kohn-Sham scheme based multi-task neural network is elaborated for the supervised learning of nuclear shell evolution. The training set is composed of the single-particle wave functions and occupation probabilities of 320 nuclei, calculated by the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1d395d396ef7abc5af2422b0af51f03
http://arxiv.org/abs/2212.02093
http://arxiv.org/abs/2212.02093
Publikováno v:
Physical Review C. 105
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bf2c6392f528e91f060c5b649764f16d
https://doi.org/10.1103/physrevc.105.034610
https://doi.org/10.1103/physrevc.105.034610
Publikováno v:
Physics Letters
Physics Letters B, Vol 823, Iss, Pp 136650-(2021)
Physics Letters B, Vol 823, Iss, Pp 136650-(2021)
With the datasets of the density distributions calculated by Skyrme density functional theories, we elaborated deep neural networks to generate the density profile and provide a table of related hyperparameters set for similar applications of other s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1589c7658be8843e526a6601dfc79a5
http://repo.scoap3.org/api
http://repo.scoap3.org/api
Initialization effects of nucleon profile on the π yields in heavy-ion collisions at medium energies
Publikováno v:
Journal of Physics G: Nuclear and Particle Physics. 48:105105
We study a problem of $\pi$ production in heavy ion collisions in the context of the Isospin-dependent Boltzmann-Uehling-Uhlenbeck (IBUU) transport model. We generated nucleon densities using two different models, the Skyrme-Hartree-Fock (SHF) model
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a282fb169ef97b23935839bcbf71fa3f
https://doi.org/10.1088/1361-6471/ac1392
https://doi.org/10.1088/1361-6471/ac1392
Publikováno v:
Physical Review C. 100
Nucleon momentum distributions at various densities and isospin asymmetries for nuclear matter are investigated systematically within the extended Brueckner-Hartree-Fock approach. The shapes of the normalized momentum distributions varying with $k/{k
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::19e1b09225c446c62c17eb2cd05ad822
https://doi.org/10.1103/physrevc.100.054325
https://doi.org/10.1103/physrevc.100.054325