中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A new data structure for accelerating kinetic Monte Carlo method

文献类型:期刊论文

作者Zheng, Xu-Li1,4; Quan, Dong-Hui3,4; Zhang, Hai-Long4; Li, Xiao-Hu4; Chang, Qiang4; Sipila, Olli2
刊名RESEARCH IN ASTRONOMY AND ASTROPHYSICS
出版日期2019-12-01
卷号19期号:12页码:176
关键词astrochemistry molecular processes methods: numerical ISM: molecules ISM: abundances
ISSN号1674-4527
DOI10.1088/1674-4527/19/12/176
产权排序1
英文摘要The kinetic Monte Carlo simulation is a rigorous numerical approach to study the chemistry on dust grains in cold dense interstellar clouds. By tracking every single reaction in chemical networks step by step, this approach produces more precise results than other approaches but takes too much computing time. Here we present a method of a new data structure, which is applicable to any physical conditions and chemical networks, to save computing time for the Monte Carlo algorithm. Using the improved structure, the calculating time is reduced by 80 percent compared with the linear structure when applied to the osu-2008 chemical network at 10 K. We investigate the effect of the encounter desorption in cold cores using the kinetic Monte Carlo model with an accelerating data structure. We found that the encounter desorption remarkably decreases the abundance of grain-surface H-2 but slightly influences the abundances of other species on the grain.
WOS关键词DENSE INTERSTELLAR CLOUDS ; GAS-GRAIN CHEMISTRY ; MODELS ; SIMULATION ; MANTLES ; PHASE
资助项目CAS Light of West China Program[2017-QNXZ-B] ; Heaven Lake Hundred-Talent Program of Xinjiang Uygur Autonomous Region of China ; National Natural Science Foundation of China[11673054 11873082] ; National Natural Science Foundation of China[U1531125] ; National Natural Science Foundation of China[11803080] ; National Natural Science Foundation of China[11503075] ; National Natural Science Foundation of China[11543002] ; National Natural Science Foundation of China[11673054] ; National Natural Science Foundation of China[11703075] ; National Key Basic Research Program of China (973 Program)[2015CB857100] ; National Key Basic Research and Development Program[2018YFA0404704] ; Youth Innovation Promotion Association CAS
WOS研究方向Astronomy & Astrophysics
语种英语
WOS记录号WOS:000507468700008
出版者NATL ASTRONOMICAL OBSERVATORIES, CHIN ACAD SCIENCES
资助机构CAS Light of West China Program ; Heaven Lake Hundred-Talent Program of Xinjiang Uygur Autonomous Region of China ; National Natural Science Foundation of China ; National Key Basic Research Program of China (973 Program) ; National Key Basic Research and Development Program ; Youth Innovation Promotion Association CAS
源URL[http://ir.xao.ac.cn/handle/45760611-7/3324]  
专题天体化学研究团组
通讯作者Zheng, Xu-Li
作者单位1.Univ Chinese Acad Sci, Sch Astron & Space Sci, Beijing 100049, Peoples R China
2.Max Planck Inst Extraterr Phys MPE, Giessenbachstr 1, D-85748 Garching, Germany
3.Eastern Kentucky Univ, Dept Chem, Richmond, KY 40475 USA
4.Chinese Acad Sci, Xinjiang Astron Observ, Urumqi 830011, Peoples R China
推荐引用方式
GB/T 7714
Zheng, Xu-Li,Quan, Dong-Hui,Zhang, Hai-Long,et al. A new data structure for accelerating kinetic Monte Carlo method[J]. RESEARCH IN ASTRONOMY AND ASTROPHYSICS,2019,19(12):176.
APA Zheng, Xu-Li,Quan, Dong-Hui,Zhang, Hai-Long,Li, Xiao-Hu,Chang, Qiang,&Sipila, Olli.(2019).A new data structure for accelerating kinetic Monte Carlo method.RESEARCH IN ASTRONOMY AND ASTROPHYSICS,19(12),176.
MLA Zheng, Xu-Li,et al."A new data structure for accelerating kinetic Monte Carlo method".RESEARCH IN ASTRONOMY AND ASTROPHYSICS 19.12(2019):176.

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