Germanium surface cleaning and ALD of a protective boron nitride overlayer

覆盖层 X射线光电子能谱 材料科学 原子层沉积 钝化 化学工程 氧化锗 图层(电子) 化学气相沉积 分析化学(期刊) 纳米技术 化学 冶金 物理化学 有机化学 工程类
作者
Olatomide Omolere,Qasim Adesope,Samar Alhowity,Tochi L. Agbara,Jeffry A. Kelber
出处
期刊:Journal of vacuum science & technology [American Institute of Physics]
卷期号:41 (6)
标识
DOI:10.1116/6.0002928
摘要

Germanium exhibits superior hole and electron mobility compared with silicon, making it a promising candidate for replacement of silicon in certain future CMOS applications. In such applications, achieving atomically clean Ge surfaces and the subsequent deposition of ultrathin passivation barriers without interfacial reaction are critical. In this study, we present in situ x-ray photoelectron spectroscopy (XPS) investigations of hydrocarbon removal from the Ge surface utilizing atomic oxygen at room temperature, as well as removal of hydrocarbons and of germanium oxide (GeO2) through atomic hydrogen treatment at 350 °C. Subsequently, atomic layer deposition (ALD) was used to create a protective layer of hexagonal boron nitride (h-BN) with an average thickness of 3 monolayers (ML). Tris(dimethylamino)borane and ammonia precursors were utilized at 450 °C for the deposition process. Intermittent in situ XPS analysis during ALD confirmed h-BN growth, stoichiometry, and the absence of interfacial reaction with Ge. XPS analysis after subsequent exposure of the Ge film with a h-BN overlayer of ∼9 Å average thickness to 7.2 × 104 l of atomic O (O3P) at room temperature yielded no evidence of Ge oxidation, with only the surface layer of the h-BN film exhibiting oxidation. These results present a practical and scalable route toward the preparation of clean Ge surfaces and subsequent deposition of protective, nanothin h-BN barriers for subsequent processing.

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
Makubes发布了新的文献求助10
1秒前
小蘑菇应助笑点低怀蕊采纳,获得10
1秒前
科研通AI6.4应助lzx采纳,获得10
2秒前
学海无涯完成签到,获得积分10
2秒前
FashionBoy应助LLXY采纳,获得10
2秒前
ding应助dongfang采纳,获得10
3秒前
西瓜发布了新的文献求助10
3秒前
英俊的铭应助科研通管家采纳,获得10
4秒前
爆米花应助科研通管家采纳,获得10
4秒前
彭于晏应助科研通管家采纳,获得10
4秒前
kururu应助科研通管家采纳,获得10
4秒前
5秒前
科目三应助科研通管家采纳,获得10
5秒前
5秒前
Orange应助科研通管家采纳,获得50
5秒前
5秒前
orixero应助科研通管家采纳,获得10
5秒前
完美世界应助科研通管家采纳,获得10
5秒前
无花果应助科研通管家采纳,获得10
5秒前
11完成签到,获得积分10
8秒前
8秒前
lyt完成签到,获得积分10
9秒前
11秒前
zx发布了新的文献求助10
11秒前
霸气亚男发布了新的文献求助100
12秒前
Wendy发布了新的文献求助10
13秒前
13秒前
14秒前
15秒前
酷波er应助gcppa采纳,获得30
15秒前
W29完成签到,获得积分0
16秒前
17秒前
dongfang发布了新的文献求助10
17秒前
啦啦完成签到 ,获得积分10
17秒前
阳光发布了新的文献求助20
17秒前
lulu8809完成签到,获得积分10
18秒前
winnie发布了新的文献求助10
18秒前
JamesPei应助dx采纳,获得10
18秒前
酷波er应助小小采纳,获得10
19秒前
sn完成签到,获得积分10
19秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
The Composition and Relative Chronology of Dynasties 16 and 17 in Egypt 1500
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
Rheumatoid arthritis drugs market analysis North America, Europe, Asia, Rest of world (ROW)-US, UK, Germany, France, China-size and Forecast 2024-2028 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6366168
求助须知:如何正确求助?哪些是违规求助? 8180057
关于积分的说明 17244440
捐赠科研通 5420937
什么是DOI,文献DOI怎么找? 2868270
邀请新用户注册赠送积分活动 1845397
关于科研通互助平台的介绍 1692891