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Theoretical Investigation of Biaxially Tensile-Strained Germanium Nanowires

Overview of attention for article published in Discover Nano, July 2017
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Title
Theoretical Investigation of Biaxially Tensile-Strained Germanium Nanowires
Published in
Discover Nano, July 2017
DOI 10.1186/s11671-017-2243-1
Pubmed ID
Authors

Zhongyunshen Zhu, Yuxin Song, Qimiao Chen, Zhenpu Zhang, Liyao Zhang, Yaoyao Li, Shumin Wang

Abstract

We theoretically investigate highly tensile-strained Ge nanowires laterally on GaSb. Finite element method has been used to simulate the residual elastic strain in the Ge nanowire. The total energy increment including strain energy, surface energy, and edge energy before and after Ge deposition is calculated in different situations. The result indicates that the Ge nanowire on GaSb is apt to grow along 〈100〉 rather than 〈110〉 in the two situations and prefers to be exposed by {105} facets when deposited a small amount of Ge but to be exposed by {110} when the amount of Ge exceeds a critical value. Furthermore, the conduction band minima in Γ-valley at any position in both situations exhibits lower values than those in L-valley, leading to direct bandgap transition in Ge nanowire. For the valence band, the light hole band maxima at Γ-point is higher than the heavy hole band maxima at any position and even higher than the conduction band minima for the hydrostatic strain more than ∼5.0%, leading to a negative bandgap. In addition, both electron and hole mobility can be enhanced by owing to the decrease of the effective mass under highly tensile strain. The results suggest that biaxially tensile-strained Ge nanowires hold promising properties in device applications.

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The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 4 29%
Professor > Associate Professor 3 21%
Other 1 7%
Professor 1 7%
Student > Doctoral Student 1 7%
Other 2 14%
Unknown 2 14%
Readers by discipline Count As %
Engineering 4 29%
Materials Science 4 29%
Computer Science 1 7%
Physics and Astronomy 1 7%
Unknown 4 29%