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Influence of fin architectures on linearity characteristics of AlGaN/GaNFinFETs |
Ting-Ting Liu(刘婷婷)1, Kai Zhang(张凯)2, Guang-Run Zhu(朱广润)2, Jian-Jun Zhou(周建军)2, Yue-Chan Kong(孔月婵)2, Xin-Xin Yu(郁鑫鑫)2, Tang-Sheng Chen(陈堂胜)2 |
1. Research Institution, China Electronic Equipment & System Engineering Company, Beijing 100039, China; 2. Science and Technology on Monolithic Integrated Circuits and Modules Laboratory, Nanjing Electronic Devices Institute, Nanjing 210016, China |
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Abstract We investigate the influence of fin architecture on linearity characteristics of AlGaN/GaNFinFET. It is found that the FinFET with scaled fin dimensions exhibits much flatter Gm characteristics than the one with long fins as well as planar HEMT. According to the comparative study, we provide direct proof that source resistance rather than tri-gate structure itself dominates the Gm behavior. Furthermore, power measurements show that the optimized FinFET is capable of delivering a much higher output power density along with significant improvement in linearity characteristics than conventional planar HEMT. This study also highlights the importance of fin design in GaN-based FinFET for microwave power application, especially high-linearity applications.
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Received: 12 November 2017
Revised: 02 January 2018
Accepted manuscript online:
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PACS:
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73.61.Ey
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(III-V semiconductors)
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52.77.Bn
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(Etching and cleaning)
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73.40.Qv
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(Metal-insulator-semiconductor structures (including semiconductor-to-insulator))
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Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 61504125, 61474101, and 61505181). |
Corresponding Authors:
Kai Zhang
E-mail: haigui.34@163.com
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Cite this article:
Ting-Ting Liu(刘婷婷), Kai Zhang(张凯), Guang-Run Zhu(朱广润), Jian-Jun Zhou(周建军), Yue-Chan Kong(孔月婵), Xin-Xin Yu(郁鑫鑫), Tang-Sheng Chen(陈堂胜) Influence of fin architectures on linearity characteristics of AlGaN/GaNFinFETs 2018 Chin. Phys. B 27 047307
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[1] |
Ohi K and Hashizume T 2009 J. Appl. Phys. 48 081002
|
[2] |
Ohi K, Asubar J T, Nishiguchi K and Hashizume T 2013 IEEE Trans. Electron Dev. 60 2997
|
[3] |
Arulkumaran S, Ng G I, Manoj Kumar C M, Ranjan K, Teo K L, ShoronO F, Rajan S, Bin Dolmanan S and Tripathy S 2015 Appl. Phys. Lett. 106 053502
|
[4] |
Lu B, Matioli E and Palacios T 2012 IEEE Electron Dev. Lett. 33 360
|
[5] |
Im K S, Kim R H, Kim K W, Kim D S, Lee C S, Cristoloveanu S and Lee J H 2013 IEEE Electron Dev. Lett. 34 27
|
[6] |
Liu S, Cai Y, Gu G, Wang J, Zeng C, Shi W, Feng Z, Qin H, Cheng Z, Chen K J and Zhang B 2012 IEEE Electron Dev. Lett. 33 354
|
[7] |
Azize M, Hsu A L, Saadat O I, Smith M, Gao X, Guo S, Gradčak S and Palacios T 2011 IEEE Electron Dev. Lett. 32 1680
|
[8] |
Seo J H, Jo Y W, Yoon Y J, Son D H, Won C H, Jang H S, Kang I M and Lee J H 2016 IEEE Electron Dev. Lett. 37 855
|
[9] |
Lee D S, Wang H, Hsu A, Azize M, Laboutin O, Cao Y, Johnson J W, Beam E, Ketterson A, Schuette M L, Saunier P and Palacios T 2013 IEEE Electron Dev. Lett. 34 969
|
[10] |
Zhang K, Kong Y, Zhu G, Zhou J, Yu X, Kong C, Li Z and Chen T 2017 IEEE Electron Dev. Lett. 38 615
|
[11] |
Trew R J, Liu Y, Gu G, Bilbro G L, Kuang W, Vetury R and Shealy J B 2006 IEEE Trans. Microw. Theory Tech. 54 2061
|
[12] |
Ture E, Brückner P, Godejohann B J, Aidam R, Alsharef M, Granzner R, Schwierz F, Quay R and Ambacher O 2016 IEEE J. Electron Dev. Soc. 4 1
|
[13] |
Asubar J T, Yatabe Z and Hashizume T 2014 Appl. Phys. Lett. 105 053510
|
[14] |
Seo J H, Jo Y W, Yoon Y J, Son D H, Won C H, Jang H S, Kang I M and Lee J H 2016 IEEE Electron Dev. Lett. 37 855
|
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