| INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY |
Prev
Next
|
|
|
High-quality GaAs/InSb core-shell nanowires grown by molecular-beam epitaxy |
| Ran Zhuo(卓然)1,2, Haiyan Shi(师海彦)1, Donghai Li(李东海)1,2, Xiyu Hou(侯曦宇)1,2, Yukun Yin(殷钰坤)1,2, Dong Pan(潘东)1,2,†, and Jianhua Zhao(赵建华)1,3 |
1 State Key Laboratory of Semiconductor Physics and Chip Technologies, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, China; 2 College of Materials Science and Opto-Electronic Technology, University of Chinese Academy of Sciences, Beijing 100049, China; 3 National Key Laboratory of Spintronics, Hangzhou International Innovation Institute, Beihang University, Hangzhou 311115, China |
|
|
|
|
Abstract High-quality GaAs/InSb core-shell nanowires have garnered significant research interest owing to the exceptional properties of InSb, including its high electron mobility, strong spin-orbit coupling, and large g-factor, which are pivotal for advanced electronics and quantum technologies. Concurrently, GaAs/InSb core-shell nanowires have been extensively investigated due to their potential in realizing topological insulators and enabling dissipationless edge state transport, characteristics analogous to those sought in InAs/GaSb systems. However, the substantial lattice mismatch (~ 14.6%) between GaAs and InSb poses considerable challenges in achieving high-quality heteroepitaxial shells. Detailed investigations into the growth, microstructure, and strain distribution within such systems remain limited. Here, we demonstrate the successful growth of high-quality GaAs/InSb core-shell nanowires via molecular-beam epitaxy, utilizing self-catalyzed pure zinc blende GaAs nanowire cores. Through systematic optimization, we identified that an InSb shell growth temperature of 390 ℃ and an Sb/In beam equivalent pressure ratio of 4.36 are crucial for obtaining smooth, continuous shells with uniform thickness. Advanced transmission electron microscopy analysis confirmed the epitaxial zinc-blende structures of both the core and shell, revealing a dislocation density of approximately 50 μm-1 in the InSb shell, notwithstanding the lattice mismatch. Cross-sectional strain mapping, conducted via geometric phase analysis, unveiled a ~ 15% compressive strain at the GaAs/InSb interface, along with complex residual strain within the shell, attributed to the hexagonal nanowire geometry. Field-effect transistors fabricated with back-gated configurations exhibited n-type conduction, with a room-temperature carrier mobility of 50 cm2·V-1·s-1 and Ohmic behavior. Our work provides useful insights for the growth and optimization of other highly mismatched core-shell nanowires, thereby facilitating their integration into complex device architectures.
|
Received: 24 August 2025
Revised: 24 September 2025
Accepted manuscript online: 14 October 2025
|
|
PACS:
|
81.05.Ea
|
(III-V semiconductors)
|
| |
81.07.Vb
|
(Quantum wires)
|
| |
81.15.Hi
|
(Molecular, atomic, ion, and chemical beam epitaxy)
|
| |
61.72.Hh
|
(Indirect evidence of dislocations and other defects (resistivity, slip, creep, strains, internal friction, EPR, NMR, etc.))
|
| |
73.50.Dn
|
(Low-field transport and mobility; piezoresistance)
|
|
| Fund: Project supported by the National Natural Science Foundation of China (Grant Nos. 12374459, 61974138, and 92065106), the Innovation Program for Quantum Science and Technology (Grant No. 2021ZD0302400), the Strategic Priority Research Program of Chinese Academy of Sciences (Grant No. XDB0460000), and the Youth Innovation Promotion Association, Chinese Academy of Sciences (Grant Nos. 2017156 and Y2021043). |
Cite this article:
Ran Zhuo(卓然), Haiyan Shi(师海彦), Donghai Li(李东海), Xiyu Hou(侯曦宇), Yukun Yin(殷钰坤), Dong Pan(潘东), and Jianhua Zhao(赵建华) High-quality GaAs/InSb core-shell nanowires grown by molecular-beam epitaxy 2026 Chin. Phys. B 35 088101
|
[1] Bennett B R, Magno R, Boos J B, Kruppa W and Ancona M G 2005 Solid State Electron. 49 1875 [2] Zutic I, Fabian J and Das Sarma S 2004 Rev. Mod. Phys. 76 323 [3] Caroff P, Wagner J B, Dick K A, Nilsson H A, Jeppsson M, Deppert K, Samuelson L, Wallenberg R and Wernersson L E 2008 Small 4 878 [4] Ercolani D, Rossi F, Li A, Roddaro S, Grillo V, Salviati G, Beltram F and Sorba L 2009 Nanotechnology 20 505605 [5] Frolov S M, Plissard S R, Nadj-Perge S, Kouwenhoven L P and Bakkers E P A M 2013 MRS Bull. 38 809 [6] Plissard S R, van Weperen I, Car D, Zhang H, Frolov S M, Kouwenhoven L P and Bakkers E P A M 2013 Nat. Nanotechnol. 8 859 [7] Pan D, Fan D X, Kang N, Zhi J H, Yu X Z, Xu H Q and Zhao J H 2016 Nano Lett. 16 834 [8] Lutchyn R M, Sau J D and Das Sarma S 2010 Phys. Rev. Lett. 105 077001 [9] Oreg Y, Refael G and von Oppen F 2010 Phys. Rev. Lett. 105 177002 [10] Mourik V, Zuo K, Frolov S M, Plissard S R, Bakkers E P A M and Kouwenhoven L P 2012 Science 336 1003 [11] Deng M T, Yu C L, Huang G Y, Larsson M, Caroff P and Xu H Q 2012 Nano Lett. 12 6414 [12] Lutchyn R M, Bakkers E P A M, Kouwenhoven L P, Krogstrup P, Marcus C M and Oreg Y 2018 Nat. Rev. Mater. 3 52 [13] Nilsson M, Namazi L, Lehmann S, Leijnse M, Dick K A and Thelander C 2016 Phys. Rev. B 93 195422 [14] So H, Pan D, Li L and Zhao J 2017 Nanotechnology 28 135704 [15] Chen Y, Huang S, Pan D, Xue J, Zhang L, Zhao J and Xu H Q 2021 npj 2D Mater. Appl. 5 3 [16] Xue M, Pan D, Zhao J and Chen J 2023 Adv. Mater. 35 2208952 [17] He F, Song H, Hou X, Liu L, Shang R, Zhang H, Pan D and Zhao J 2025 Adv. Quantum Technol. 8 2400677 [18] Pryor C E and Pistol M E 2008 Phys. Rev. B 78 115319 [19] Luo N, Huang G, Liao G, Ye L and Xu H Q 2016 Sci. Rep.-Uk 6 38698 [20] Wojcik P, Bertoni A and Goldoni G 2018 Phy. Rev. B 97 165401 [21] Rieger T, Zellekens P, Demarina N, Al Hassan A, Hackemuller F J, Luth H, Pietsch U, Schapers T, Grutzmacher D and Lepsa M I2017 Nanoscale 9 18392 [22] Zellekens P, Demarina N, Janßen J, Rieger T, Lepsa M I, Perla P, Panaitov G, Luth H, Grutzmacher D and Schapers T2020 Semicond. Sci. Technol. 35 085003 [23] Yu X, Li L, Wang H, Xiao J, Shen C, Pan D and Zhao J 2016 Nanoscale 8 10615 [24] Li L, Pan D, Xue Y Z, Wang X L, Lin M L, Su D, Zhang Q L, Yu X Z, So H, Wei D H, Sun B Q, Tan P H, Pan A L and Zhao J H 2017 Nano Lett. 17 622 [25] Li L, Pan D, So H, Wang X, Yu Z and Zhao J 2017 J. Alloys Compd. 724 659 [26] Zhuo R, Wen L, Wang J, Dou X, Liu L, Hou X, Liao D, Sun B, Pan D and Zhao J 2024 Sci. China Phys. Mech. Astron. 67 127311 [27] Yu X, Wang H, Lu J, Zhao J, Misuraca J, Xiong P and von Molnar S 2012 Nano Lett. 12 5436 [28] Rieger T, Luysberg M, Schapers T, Grutzmacher D and Lepsa M I2012 Nano Lett. 12 5559 [29] Su X, Shao F, Hao H, Qing L, Li S, Dai D, Shang X, Wang T, Zhang Y, Yang C, Xu Y, Ni H, Ding Y and Niu Z 2023 Chin. Phys. B 32 98103 [30] Venables J A, Spiller G D T and Hanbucken M1984 Rep. Prog. Phys. 47 399 [31] Borg B M and Wernersson L 2013 Nanotechnology 24 202001 [32] Aardvark A, Mason N J and Walker P J 1997 Prog. Cryst. Growth Ch. 35 207 [33] Dimroth F, Agert C and Bett A W 2003 J. Cryst. Growth 248 265 [34] Debnath M C, Zhang T, Roberts C, Cohen L F and Stradling R A 2004 J. Cryst. Growth 267 17 [35] Galindo P, Kret S, Sanchez A M, Lavald J Y, Yanez A, Pizarro J, Guerrero E, Ben T and Molina S 2007 Ultramicroscopy 107 1186 [36] Galindo P, Pizarro J, Molina S and Ishizuka K 2009 Microscopy and Analysis 23 23 [37] Mengistu H T and García-Cristobal A 2016 Int. J. Solids Struct. 100 257 [38] Winkler G W, Wu Q, Troyer M, Krogstrup P and Soluyanov A A 2016 Phys. Rev. Lett. 117 76403 [39] Wen L, Pan D, Liu L, Tong S, Zhuo R and Zhao J 2022 J. Phys. Chem. Lett. 13 598 [40] Sa Z, Liu F, Zhuang X, Yin Y, Lv Z, Wang M, Zhang J, Song K, Chen F and Yang Z 2023 Adv. Funct. Mater. 33 2304064 [41] Liu F, Zhuang X, Wang M, Qi D, Dong S, Yip S, Yin Y, Zhang J, Sa Z, Song K, He L, Tan Y, Meng Y, Ho J C, Liao L, Chen F and Yang Z 2023 Nat. Commun. 14 7480 [42] Zhuang X, Sa Z, Zhang J, Wang M, Xu M, Liu F, Song K, He T, Chen F and Yang Z 2023 Adv. Sci. 10 2302516 [43] Chang C, Chi C, Yao M, Huang N, Chen C, Theiss J, Bushmaker A W, Lalumondiere S, Yeh T, Povinelli M L, Zhou C, Dapkus P D and Cronin S B 2012 Nano Lett. 12 4484 [44] Charles Pravin J, Nirmal D, Prajoon P and Ajayan J 2016 Physica E 83 95 [45] Li H, Alradhi H, Jin Z, Anyebe E A, Sanchez A M, Linhart W M, Kudrawiec R, Fang H, Wang Z, Hu W and Zhuang Q 2018 Adv. Funct. Mater. 28 1705382 [46] Wunnicke O 2006 Appl. Phys. Lett. 89 083110 [47] Badawy G, Gazibegovic S, Borsoi F, Heedt S, Wang C, Koelling S, Verheijen M A, Kouwenhoven L P and Bakkers E P A M 2019 Nano Lett. 19 3575 [48] Pan D, Fan D X, Kang N, Zhi J H, Yu X Z, Xu H Q and Zhao J H 2016 Nano Lett. 16 834 |
| No Suggested Reading articles found! |
|
|
Viewed |
|
|
|
Full text
|
|
|
|
|
Abstract
|
|
|
|
|
Cited |
|
|
|
|
Altmetric
|
|
blogs
Facebook pages
Wikipedia page
Google+ users
|
Online attention
Altmetric calculates a score based on the online attention an article receives. Each coloured thread in the circle represents a different type of online attention. The number in the centre is the Altmetric score. Social media and mainstream news media are the main sources that calculate the score. Reference managers such as Mendeley are also tracked but do not contribute to the score. Older articles often score higher because they have had more time to get noticed. To account for this, Altmetric has included the context data for other articles of a similar age.
View more on Altmetrics
|
|
|