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Dive into the research topics where Changliang Qin is active.

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Featured researches published by Changliang Qin.


Journal of Applied Physics | 2013

Optimization of SiGe selective epitaxy for source/drain engineering in 22 nm node complementary metal-oxide semiconductor (CMOS)

Guilei Wang; Mahdi Moeen; Ahmad Abedin; Mohammadreza Kolahdouz; Jun Luo; Changliang Qin; Huilong Zhu; Jiang Yan; Haizhou Yin; J. F. Li; Chao Zhao; Henry H. Radamson

SiGe has been widely used for source/drain (S/D) engineering in pMOSFETs to enhance channel mobility. In this study, selective Si1−xGex growth (0.25 ≤ x ≤ 0.35) with boron concentration of 1–3 × 1020 cm−3 in the process for 22 nm node complementary metal-oxide semiconductor (CMOS) has been investigated and optimized. The growth parameters were carefully tuned to achieve deposition of high quality and highly strained material. The thermal budget was decreased to 800 °C to suppress dopant diffusion, to minimize Si loss in S/D recesses, and to preserve the S/D recess shape. Two layers of Si1−xGex were deposited: a bottom layer with high Ge content (x = 0.35) which filled the recess and a cap layer with low Ge content (x = 0.25) which was elevated in the S/D regions. The elevated SiGe cap layer was intended to be consumed during the Ni-silicidation process in order to avoid strain reduction in the channel region arising from strain relaxation in SiGe S/D. In this study, a kinetic gas model was also applied to...


Solid-state Electronics | 2015

Impact of pattern dependency of SiGe layers grown selectively in source/drain on the performance of 22 nm node pMOSFETs

Guilei Wang; Mahdi Moeen; Ahmad Abedin; Yefeng Xu; Jun Luo; Yiluan Guo; Changliang Qin; Zhaoyun Tang; Haizhou Yin; Junfeng Li; Jiang Yan; Huilong Zhu; Chao Zhao; Dapeng Chen; Tianchun Ye; Mohammadreza Kolahdouz; Henry H. Radamson

Pattern dependency of selective epitaxy of Si1 xGex (0.20 6 x 6 0.45) grown in recessed source/drain regions of 22 nm pMOSFETs has been studied. A complete substrate mapping over 200 mm wafers was performed and the transistors’ characteristics were measured. The designed SiGe profile included a layer with Ge content of 40% at the bottom of recess (40 nm) and capped with 20% Ge as a sacrificial layer (20 nm) for silicide formation. The induced strain in the channel was simulated before and after silicidation. The variation of strain was localized and its effect on the transistors’ performance was determined. The chips had a variety of SiGe profile depending on their distance (closest, intermediate and central) from the edge of the 200 mm wafer. SiGe layers with poor epi-quality were observed when the coverage of exposed Si of the chip was below 1%. This causes high Ge contents with layer thicknesses above the


international electron devices meeting | 2016

FOI FinFET with ultra-low parasitic resistance enabled by fully metallic source and drain formation on isolated bulk-fin

Qingzhu Zhang; Huaxiang Yin; Jun Luo; Hong Yang; Lingkuan Meng; Yudong Li; Zhenhua Wu; Yanbo Zhang; Yongkui Zhang; Changliang Qin; Junjie Li; Jianfeng Gao; Guilei Wang; Wenjuan Xiong; Jinjuan Xiang; Zhangyu Zhou; Shujian Mao; Gaobo Xu; Jinbiao Liu; Yang Qu; Tao Yang; Junfeng Li; Qiuxia Xu; Jiang Yan; Huilong Zhu; Chao Zhao; Tianchun Ye

The large parasitic resistance has become a critical limiting factor to on current (ION) of FinFET and nanowire devices. Fully metallic source and drain (MSD) process is one of the most promising solutions but it often suffers from intolerant junction leakage in bulk FETs. In this paper, fully MSD process on fin-on-insulator (FOI) FinFET is investigated extensively for the first time. By forming fully Ni(Pt) silicide on physically isolated fins, about 90% reduction in contacted resistivities (Rcs) and 55% reduction in sheet resistances (Rss) are achieved without obvious junction leakage degradation. As a consequence, Ion of transistor, with gate length (Lg) of 20nm, is increased 30 times, up to 547μA/μm for NMOS and 324 μA/μm for PMOS, respectively. Excellent controls of SCE and channel leakage with 47% DIBL, 32% SS and 2.5% device leakages reductions over the counterpart of conventional bulk FinFETs are also obtained. Meanwhile, the fully MSD process induces clear tensile stress into narrow fin-channel, resulting in enhanced electron mobility in NMOS. A further improvement in PMOS drive ability (486μA/μm) by using Schottky barrier source and drain (SBSD) technology is also explored.


International Journal of High Speed Electronics and Systems | 2017

Optimization of Selective Growth of SiGe for Source/Drain in 14nm and Beyond Nodes FinFETs

Henry H. Radamson; Jun Luo; Changliang Qin; Huaxiang Yin; Huilong Zhu; Chao Zhao; Guilei Wang

In this work, optimization of selective epitaxy growth (SEG) of SiGe layers on source/drain (S/D) areas in 14nm node FinFETs with high-k & metal gate has been presented. The Ge content in epilayers was in range of 30%-40% with boron concentration of 1-3 × 1020 cm−3. The strain distribution in the transistor structure due to SiGe as stressor material in S/D was simulated and these results were used as feedback to design the layer profile. The epitaxy parameters were optimized to improve the layer quality and strain amount of SiGe layers. The in-situ cleaning of Si fins was crucial to grow high quality layers and a series of experiments were performed in range of 760-825 °C. The results demonstrated that the thermal budget has to be within 780-800 °C in order to remove the native oxide but also to avoid any harm to the shape of Si fins. The Ge content in SiGe layers was directly determined from the misfit parameters obtained from reciprocal space mappings using synchrotron radiation. Atomic layer deposition (ALD) technique was used to deposit HfO2 as high-k dielectric and B-doped W layer as metal gate to fill the gate trench. This type of ALD metal gate has decent growth rate, low resistivity and excellent capability to fill the gate trench with high aspect-ratio. Finally, the electrical characteristics of fabricated FinFETs were demonstrated and discussed.


Archive | 2015

Method of manufacturing stacked nanowire mos transistor

Huaxiang Yin; Changliang Qin; Zuozhen Fu; Xiaolong Ma; Dapeng Chen


Nanoscale Research Letters | 2017

Integration of Highly Strained SiGe in Source and Drain with HK and MG for 22 nm Bulk PMOS Transistors

Guilei Wang; Jun Luo; Changliang Qin; Renrong Liang; Yefeng Xu; Jinbiao Liu; Junfeng Li; Huaxiang Yin; Jiang Yan; Huilong Zhu; Jun Xu; Chao Zhao; Henry H. Radamson; Tianchun Ye


Microelectronic Engineering | 2017

Study of sigma-shaped source/drain recesses for embedded-SiGe pMOSFETs

Changliang Qin; Huaxiang Yin; Guilei Wang; Peizhen Hong; Xiaolong Ma; Hushan Cui; Yihong Lu; Lingkuan Meng; Haizhou Yin; Huicai Zhong; Jiang Yan; Huilong Zhu; Qiuxia Xu; Junfeng Li; Chao Zhao; Henry H. Radamson


Solid-state Electronics | 2016

Process optimizations to recessed e-SiGe source/drain for performance enhancement in 22 nm all-last high-k/metal-gate pMOSFETs

Changliang Qin; Guilei Wang; Peizhen Hong; Jinbiao Liu; Huaxiang Yin; Haizhou Yin; Xiaolong Ma; Hushan Cui; Yihong Lu; Lingkuan Meng; Jinjuan Xiang; Huicai Zhong; Huilong Zhu; Qiuxia Xu; Junfeng Li; Jian Yan; Chao Zhao; Henry H. Radamson


Solid-state Electronics | 2017

Two methods of tuning threshold voltage of bulk FinFETs with replacement high-k metal-gate stacks

Miao Xu; Huilong Zhu; Yanbo Zhang; Qiuxia Xu; Yongkui Zhang; Changliang Qin; Qingzhu Zhang; Huaxiang Yin; Hao Xu; Shuai Chen; Jun Luo; Chunlong Li; Chao Zhao; Tianchun Ye


ECS Journal of Solid State Science and Technology | 2017

Fabrication and Characterization of p-Channel Charge Trapping Type FOI-FinFET Memory with MAHAS Structure

Zhaozhao Hou; Qingzhu Zhang; Huaxiang Yin; Jinjuan Xiang; Changliang Qin; Jiaxin Yao; Jie Gu

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Huaxiang Yin

Chinese Academy of Sciences

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Guilei Wang

Chinese Academy of Sciences

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Chao Zhao

Chinese Academy of Sciences

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Huilong Zhu

Chinese Academy of Sciences

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Jun Luo

Chinese Academy of Sciences

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Henry H. Radamson

Royal Institute of Technology

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Junfeng Li

Chinese Academy of Sciences

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Haizhou Yin

Chinese Academy of Sciences

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Jiang Yan

Chinese Academy of Sciences

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Tianchun Ye

Chinese Academy of Sciences

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