Ion beam sputtering of silicon: Energy distributions of sputtered and scattered ions

离子 溅射 原子物理学 散射 离子束 材料科学 化学 物理 光学 薄膜 纳米技术 有机化学
作者
Dmitry Kalanov,André Anders,Carsten Bundesmann
出处
期刊:Journal of vacuum science & technology [American Vacuum Society]
卷期号:37 (5) 被引量:16
标识
DOI:10.1116/1.5114973
摘要

The properties of sputtered and scattered ions are studied for ion beam sputtering of Si by bombardment with noble gas ions. The energy distributions in dependence on ion beam parameters (ion energy: 0.5–1 keV; ion species: Ne, Ar, Xe) and geometrical parameters (ion incidence angle, polar emission angle, and scattering angle) are measured by means of energy-selective mass spectrometry. The presence of anisotropic effects due to direct sputtering and scattering is discussed and correlated with process parameters. The experimental results are compared to calculations based on a simple elastic binary collision model and to simulations using the Monte-Carlo code sdtrimsp. The influence of the contribution of implanted primary ions on energy distributions of sputtered and scattered particles is studied in simulations. It is found that a 10% variation of the target composition leads to detectable but small differences in the energy distributions of scattered ions. Comparison with previously reported data for other ion/target configurations confirms the presence of similar trends and anisotropic effects: the number of high-energy sputtered ions increases with increasing energy of incident ions and decreasing scattering angle. The effect of the ion/target mass ratio is additionally investigated. Small differences are observed with the change of the primary ion species: the closer the mass ratio to unity, the higher the average energy of sputtered ions. The presence of peaks, assigned to different mechanisms of direct scattering, strongly depends on the ion/target mass ratio.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
1秒前
天空完成签到,获得积分10
2秒前
青蓝完成签到 ,获得积分10
2秒前
害羞小懒猪完成签到,获得积分10
2秒前
大模型应助Jtiger采纳,获得10
2秒前
香蕉觅云应助牛牛向前冲采纳,获得10
2秒前
慈祥的乐菱完成签到,获得积分10
3秒前
善学以致用应助研友_V8Qmr8采纳,获得30
4秒前
changli发布了新的文献求助10
4秒前
5秒前
梁liang发布了新的文献求助10
5秒前
烟花应助aaaaaa采纳,获得10
5秒前
6秒前
6秒前
等等发布了新的文献求助10
7秒前
8秒前
快乐友易发布了新的文献求助10
9秒前
9秒前
123.完成签到 ,获得积分10
10秒前
bkagyin应助科研小菜采纳,获得10
10秒前
LeeM发布了新的文献求助10
10秒前
设计师做做人完成签到,获得积分10
11秒前
12秒前
JamesPei应助天桂星采纳,获得10
12秒前
HK发布了新的文献求助10
12秒前
12秒前
二三语逢山外山完成签到 ,获得积分10
13秒前
科研通AI5应助LeeM采纳,获得10
13秒前
yusuf完成签到,获得积分10
13秒前
万能图书馆应助112233采纳,获得10
14秒前
迅速的丑完成签到,获得积分10
14秒前
FashionBoy应助凌桦惜余采纳,获得10
14秒前
14秒前
Miao完成签到,获得积分10
14秒前
memedaaaah发布了新的文献求助10
15秒前
Jtiger发布了新的文献求助10
15秒前
可耐的从安完成签到 ,获得积分10
15秒前
李健的小迷弟应助wrh采纳,获得10
15秒前
16秒前
高分求助中
Continuum thermodynamics and material modelling 3000
Production Logging: Theoretical and Interpretive Elements 2500
Healthcare Finance: Modern Financial Analysis for Accelerating Biomedical Innovation 2000
Applications of Emerging Nanomaterials and Nanotechnology 1111
Les Mantodea de Guyane Insecta, Polyneoptera 1000
Theory of Block Polymer Self-Assembly 750
지식생태학: 생태학, 죽은 지식을 깨우다 700
热门求助领域 (近24小时)
化学 医学 材料科学 生物 工程类 有机化学 生物化学 纳米技术 内科学 物理 化学工程 计算机科学 复合材料 基因 遗传学 物理化学 催化作用 细胞生物学 免疫学 电极
热门帖子
关注 科研通微信公众号,转发送积分 3476745
求助须知:如何正确求助?哪些是违规求助? 3068336
关于积分的说明 9107499
捐赠科研通 2759802
什么是DOI,文献DOI怎么找? 1514301
邀请新用户注册赠送积分活动 700193
科研通“疑难数据库(出版商)”最低求助积分说明 699379