中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Monte Carlo approach to calculate proton stopping in warm dense matter within particle-in-cell simulations

文献类型:期刊论文

作者Yu, W.; Fritzsche, S.; Wu, D.; He, X. T.
刊名Phys. Rev. E
出版日期2017
卷号95期号:2
通讯作者wudong@siom.ac.cn ; s.fritzsche@gsi.de
英文摘要A Monte Carlo approach to proton stopping in warm dense matter is implemented into an existing particlein-cell code. This approach is based on multiple electron-electron, electron-ion, and ion-ion binary collision and accounts for both the free and the bound electrons in the plasmas. This approach enables one to calculate the stopping of particles in a more natural manner than existing theoretical treatment. In the low-temperature limit, when "all" electrons are bound to the nucleus, the stopping power coincides with the predictions from the Bethe-Bloch formula and is consistent with the data from the National Institute of Standard and Technology database. At higher temperatures, some of the bound electrons are ionized, and this increases the stopping power in the plasmas, as demonstrated by A. B. Zylstra et al. [Phys. Rev. Lett. 114, 215002 (2015)]. At even higher temperatures, the degree of ionization reaches a maximum and thus decreases the stopping power due to the suppression of collision frequency between projected proton beam and hot plasmas in the target.
资助信息German Academic Exchange Service (DAAD); China Scholarship Council (CSC)
收录类别SCI
WOS记录号WOS:000394094500007
源URL[http://ir.siom.ac.cn/handle/181231/28670]  
专题上海光学精密机械研究所_强场激光物理国家重点实验室
作者单位中国科学院上海光学精密机械研究所
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Yu, W.,Fritzsche, S.,Wu, D.,et al. Monte Carlo approach to calculate proton stopping in warm dense matter within particle-in-cell simulations[J]. Phys. Rev. E,2017,95(2).
APA Yu, W.,Fritzsche, S.,Wu, D.,&He, X. T..(2017).Monte Carlo approach to calculate proton stopping in warm dense matter within particle-in-cell simulations.Phys. Rev. E,95(2).
MLA Yu, W.,et al."Monte Carlo approach to calculate proton stopping in warm dense matter within particle-in-cell simulations".Phys. Rev. E 95.2(2017).

入库方式: OAI收割

来源:上海光学精密机械研究所

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