2016
DOI: 10.15748/jasse.3.165
|View full text |Cite
|
Sign up to set email alerts
|

Sputtering Yield of Noble Gas Irradiation onto Tungsten Surface

Abstract: It is necessary to evaluate the endurance of tungsten (W) under plasma irradiation to realize the nuclear fusion reactor. The tungsten that has flat surface and amorphous structure is often assumed in the experiment and the simulation in plasma-wall-interaction study. However, from experiments, it has been reported that the sputtering yield for the flat surface W under argon (Ar) irradiation is different from that for the rough (fuzz) surface W. In our previous work, using binary-collision-approximation (BCA) … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

1
0
0

Year Published

2017
2017
2022
2022

Publication Types

Select...
3

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(1 citation statement)
references
References 8 publications
1
0
0
Order By: Relevance
“…Other prominent examples are numeric codes like TRI3DYN or SDTrimSP-3D, which employ the binary collision approximation (BCA) 49,50 . These codes have been successfully applied in studies focusing on sputtering-induced morphology effects and achieved results consistent with experimental data [51][52][53][54][55] . While these codes already allow to simulate topographies extending beyond 100 nm lateral size, consideration of larger surface inputs is still limited by computational resources.…”
Section: Introductionsupporting
confidence: 53%
“…Other prominent examples are numeric codes like TRI3DYN or SDTrimSP-3D, which employ the binary collision approximation (BCA) 49,50 . These codes have been successfully applied in studies focusing on sputtering-induced morphology effects and achieved results consistent with experimental data [51][52][53][54][55] . While these codes already allow to simulate topographies extending beyond 100 nm lateral size, consideration of larger surface inputs is still limited by computational resources.…”
Section: Introductionsupporting
confidence: 53%