Mobility and Threshold Voltage Co‐Optimization of IGZO Field‐Effect Transistor with Ideal Subthreshold Swing through Atomic Layer Growth Control

作者
Xiangyu Hao,Haozhe Wang,Tiaoyang Li,Yan-Heng Liu,Min Zeng,Yanqing Wu
出处
期刊:Advanced electronic materials [Wiley]
标识
DOI:10.1002/aelm.202500524
摘要

ABSTRACT IGZO has been identified as a promising channel material for next‐generation memory integration. Although extensive studies have been carried out to optimize the electric transport properties, the trade‐off between mobility and threshold voltage remains to be challenging. Furthermore, the subthreshold swing often degrades at more positive threshold voltages. Atomic layer deposition (ALD) offers the unique capability to control the layer composition and element arrangement at the atomic level with additional tunability from supercycle growth conditions at different temperatures. This work employs a supercycle thermal ALD method for IGZO deposition and systematically investigates the influence of deposition temperatures and compositions on the electrical characteristics of IGZO FETs. The results reveal that increasing the deposition temperature enhances the surface reactions of metal precursors, reducing carbon residues substantially in the IGZO channel, with the M‐O peak proportion reaching 89.8% at 300°C and oxygen‐related impurities decreasing to 4.1%. Furthermore, as the In 2 O 3 sub‐cycle varies from 5 to 1, the ratio of oxygen vacancies decreases from 21.0% to 8.6%, with a widely tunable threshold voltage from −2 to +2.3 V. It should be noted that the mobility with the most positive threshold voltage of 2.3 V still exceeds 15 cm 2 V −1 s −1 . Furthermore, the subthreshold slope of the optimized transistors keeps under 65 mV dec −1 for the entire range of threshold voltages and can reach the ideal value of 60 mV dec −1 for V th near 0.5 V. This work provides valuable insights into co‐optimizing mobility and V th while keeping low SS by tuning the ALD growth parameters for IGZO.
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
香菜头完成签到 ,获得积分10
刚刚
1秒前
yy完成签到,获得积分10
1秒前
1秒前
白鹤发布了新的文献求助10
2秒前
Cherish应助晚屿采纳,获得10
2秒前
3秒前
help发布了新的文献求助10
3秒前
5秒前
天真大神发布了新的文献求助10
5秒前
nan发布了新的文献求助10
6秒前
7秒前
无辜怀蝶发布了新的文献求助10
7秒前
小二郎应助fafafa采纳,获得10
7秒前
月下晨风发布了新的文献求助10
7秒前
9秒前
科目三应助zrus116采纳,获得10
9秒前
9秒前
十三应助科研通管家采纳,获得10
10秒前
研友_VZG7GZ应助科研通管家采纳,获得10
10秒前
orixero应助科研通管家采纳,获得10
10秒前
orixero应助科研通管家采纳,获得10
10秒前
白鹤完成签到,获得积分10
11秒前
111完成签到,获得积分10
12秒前
小燕子发布了新的文献求助10
12秒前
14秒前
斯文宛秋发布了新的文献求助10
15秒前
15秒前
谦让鹏涛完成签到,获得积分10
16秒前
aw完成签到,获得积分10
17秒前
谦让鹏涛发布了新的文献求助10
19秒前
19秒前
ding应助自信半山采纳,获得10
20秒前
Owen应助天真大神采纳,获得10
20秒前
21秒前
21秒前
相信明天会更好完成签到 ,获得积分10
21秒前
22秒前
深情安青应助海绵宝宝采纳,获得10
23秒前
斯文败类应助666采纳,获得10
24秒前
高分求助中
Overcoming Stigma and Bias in Obesity Management 800
Malcolm Fraser : a biography 700
Signals, Systems, and Signal Processing 610
Bounds for Statistical Estimation in Semiparametric Models 500
Climate change and sports: Statistics report on climate change and sports 500
Forced degradation and stability indicating LC method for Letrozole: A stress testing guide 500
A Foreign Missionary on the Long March: The Unpublished Memoirs of Arnolis Hayman of the China Inland Mission 400
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 6469809
求助须知:如何正确求助?哪些是违规求助? 8274579
关于积分的说明 17643990
捐赠科研通 5546127
什么是DOI,文献DOI怎么找? 2908654
邀请新用户注册赠送积分活动 1885601
关于科研通互助平台的介绍 1735063