文献类型：期刊文献

英文题名：Molecular dynamics study on melting point of tungsten nanostructures

作者：Wang, Jinlong[1,2];Chai, Jun[3];Dang, Wenqiang[4];Pan, Xin-Dong[2];Li, Xiao-Chun[2];Luo, Guang-Nan[2]

第一作者：王金龙;Wang, Jinlong

通讯作者：Li, XC[1]

机构：[1]Xinxiang Univ, Dept Phys, Xinxiang, Peoples R China;[2]Chinese Acad Sci, Inst plasma Phys, HFIPS, Hefei, Peoples R China;[3]Tsinghua Univ, Sch Mat Sci & Engn, Beijing 100084, Peoples R China;[4]Tianshui Normal Univ, Dept Phys, Tianshui, Peoples R China

第一机构：新乡学院物理与电子工程学院

通讯机构：[1]corresponding author), Chinese Acad Sci, Inst plasma Phys, HFIPS, Hefei, Peoples R China.

年份：2022

卷号：33

外文期刊名：NUCLEAR MATERIALS AND ENERGY

收录：;EI(收录号：20224012835675);Scopus(收录号：2-s2.0-85139050163);WOS:【SCI-EXPANDED(收录号:WOS:000896502000006)】；

基金：This work was supported by the National Natural Science Founda-tion of China [No. 11975260] , 2021 Anhui Province postdoctoral re-searchers research activities funding project, People's Republic of China [2021A481] , China Postdoctoral Science Foundation and the HFIPS Director's Fund. We acknowledge support from the Gansu Provin-cial Science and Technology Plan Project, People?s Republic of China [21JR1RE288] . Numerical computations were performed on Hefei ad-vanced computing center.

语种：英文

外文关键词：Nano-structure; Tungsten; Melting point; Molecular dynamics

摘要：We used molecular dynamics to study the melting point of tungsten nano-fibers. It is found that the nanoscale effect and helium impurity can significantly reduce the melting point. We use linear model and neural network model to fit the effect of two compound effects on melting point. For fuzz with 1%-4% helium and a diameter of 10-200 nm, its melting point can be reduced by 7.7%-16.4% with linear model and 6.1%-17.0% with neural network model. The actually reduction of melting point may be more than 20% due to the existence of a large number of holes in fuzz and the rough surface of fuzz. The reduction of melting point of tungsten fuzz can accelerate the dynamic phenomenon of fuzz annealing at low temperature, leading to the disappearance of fuzz. Our research is helpful to understand that the temperature limit of fuzz formation is lower than 2000 K to some extent.