中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Progress of quantum molecular dynamics model and its applications in heavy ion collisions

文献类型:期刊论文

作者Zhang, Ying-Xun1,2; Wang, Ning2,3; Li, Qing-Feng4,5; Ou, Li2,3; Tian, Jun-Long2,6; Liu, Min2,3; Zhao, Kai1; Wu, Xi-Zhen1,2; Li, Zhu-Xia1,2
刊名FRONTIERS OF PHYSICS
出版日期2020-05-30
卷号15期号:5页码:64
ISSN号2095-0462
关键词quantum molecular dynamics model low energy heavy ion collisions low-intermediate energy heavy ion collisions fusion multinucleon transfer reaction multifragmentation collective flow isospin asymmetric equation of state in-medium nucleon-nucleon cross sections
DOI10.1007/s11467-020-0961-9
通讯作者Zhang, Ying-Xun(zhyx@ciae.ac.cn)
英文摘要In this review article, we first briefly introduce the transport theory and quantum molecular dynamics model applied in the study of the heavy ion collisions from low to intermediate energies. The developments of improved quantum molecular dynamics model (ImQMD) and ultra-relativistic quantum molecular dynamics model (UrQMD), are reviewed. The reaction mechanism and phenomena related to the fusion, multinucleon transfer, fragmentation, collective flow and particle production are reviewed and discussed within the framework of the two models. The constraints on the isospin asymmetric nuclear equation of state and in-medium nucleon-nucleon cross sections by comparing the heavy ion collision data with transport models calculations in last decades are also discussed, and the uncertainties of these constraints are analyzed as well. Finally, we discuss the future direction of the development of the transport models for improving the understanding of the reaction mechanism, the descriptions of various observables, the constraint on the nuclear equation of state, as well as for the constraint on in-medium nucleon-nucleon cross sections.
WOS关键词PRODUCTION CROSS-SECTIONS ; HARTREE-FOCK CALCULATIONS ; DIRAC-BRUECKNER APPROACH ; MANY-BODY DYNAMICS ; EQUATION-OF-STATE ; COLLECTIVE FLOW ; NUCLEAR-MATTER ; SYMMETRY ENERGY ; MEAN-FIELD ; STATISTICAL MULTIFRAGMENTATION
资助项目National Natural Science Foundation of China[19975073] ; National Natural Science Foundation of China[10175093] ; National Natural Science Foundation of China[10175089] ; National Natural Science Foundation of China[10235030] ; National Natural Science Foundation of China[11275052] ; National Natural Science Foundation of China[11375062] ; National Natural Science Foundation of China[11475262] ; National Natural Science Foundation of China[11475004] ; National Natural Science Foundation of China[11875323] ; National Natural Science Foundation of China[11875125] ; National Natural Science Foundation of China[10675172] ; National Natural Science Foundation of China[11075215] ; National Natural Science Foundation of China[11790323] ; National Natural Science Foundation of China[11790324] ; National Natural Science Foundation of China[11961141003] ; National Natural Science Foundation of China[U1867212] ; National Natural Science Foundation of China[11422548] ; National Natural Science Foundation of China[11847315] ; National Natural Science Foundation of China[11505057] ; National Natural Science Foundation of China[11947410] ; National Natural Science Foundation of China[11747312] ; National Natural Science Foundation of China[11965004] ; National Natural Science Foundation of China[11675266] ; National Natural Science Foundation of China[11005155] ; National Natural Science Foundation of China[11547312] ; National Natural Science Foundation of China[11275068] ; National Key R&D Program of China[2018YFA0404404] ; Continuous Basic Scientific Research Project[WDJC-2019-13] ; Guangxi Natural Science Foundation[2015GXNSFDA139004] ; Guangxi Natural Science Foundation[2017GXNSFGA198001] ; Zhejiang Provincial Natural Science Foundation of China[LY18A050002] ; Ten-Thousand Talent Program of Zhejiang Province ; National Science Foundation of China[11475004] ; National Science Foundation of China[11961131010] ; Natural Science Foundation of Guangxi Province[2016GXNSFFA380001] ; Foundation of Guangxi Innovative Team and Distinguished Scholar in Institutions of Higher Education ; National Key Basic Research Development Program of China[G20000774] ; National Key Basic Research Development Program of China[2007CB209900]
WOS研究方向Physics
语种英语
出版者HIGHER EDUCATION PRESS
WOS记录号WOS:000536409400001
资助机构National Natural Science Foundation of China ; National Key R&D Program of China ; Continuous Basic Scientific Research Project ; Guangxi Natural Science Foundation ; Zhejiang Provincial Natural Science Foundation of China ; Ten-Thousand Talent Program of Zhejiang Province ; National Science Foundation of China ; Natural Science Foundation of Guangxi Province ; Foundation of Guangxi Innovative Team and Distinguished Scholar in Institutions of Higher Education ; National Key Basic Research Development Program of China
源URL[http://119.78.100.186/handle/113462/140854]  
专题中国科学院近代物理研究所
通讯作者Zhang, Ying-Xun
作者单位1.China Inst Atom Energy, Beijing 102413, Peoples R China
2.Guangxi Normal Univ, Guangxi Key Lab Nucl Phys & Technol, Guilin 541004, Peoples R China
3.Guangxi Normal Univ, Guilin 541004, Peoples R China
4.Huzhou Univ, Sch Sci, Huzhou 313000, Peoples R China
5.Chinese Acad Sci, Inst Modern Phys, Lanzhou 730000, Peoples R China
6.Anyang Normal Univ, Sch Phys & Elect Engn, Anyang 455002, Peoples R China
推荐引用方式
GB/T 7714
Zhang, Ying-Xun,Wang, Ning,Li, Qing-Feng,et al. Progress of quantum molecular dynamics model and its applications in heavy ion collisions[J]. FRONTIERS OF PHYSICS,2020,15(5):64.
APA Zhang, Ying-Xun.,Wang, Ning.,Li, Qing-Feng.,Ou, Li.,Tian, Jun-Long.,...&Li, Zhu-Xia.(2020).Progress of quantum molecular dynamics model and its applications in heavy ion collisions.FRONTIERS OF PHYSICS,15(5),64.
MLA Zhang, Ying-Xun,et al."Progress of quantum molecular dynamics model and its applications in heavy ion collisions".FRONTIERS OF PHYSICS 15.5(2020):64.

入库方式: OAI收割

来源:近代物理研究所

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