2016
DOI: 10.1016/j.ssc.2015.11.017
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Strain engineering of electronic properties of transition metal dichalcogenide monolayers

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Cited by 55 publications
(43 citation statements)
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References 58 publications
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“…On the contrary, lack of significant strain on small MoS 2 nanoflakes on graphene leaves them almost unchanged. Our results suggest that H adsorption can be tuned through strain, which can be used to engineer TMDs electronic properties .…”
Section: Resultssupporting
confidence: 93%
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“…On the contrary, lack of significant strain on small MoS 2 nanoflakes on graphene leaves them almost unchanged. Our results suggest that H adsorption can be tuned through strain, which can be used to engineer TMDs electronic properties .…”
Section: Resultssupporting
confidence: 93%
“…The lattice mismatch is usually underlooked but it is expected to introduce some strain in the MoS 2 /graphene ‘heterobilayers'. Strain is known to alter significantly monolayer TMDs electronic and dielectric properties . We used different supercells of parallel monolayers of MoS 2 and graphene and we always found them energetically stable.…”
Section: Resultsmentioning
confidence: 98%
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“…As a result, a large amount of research has been done on 2D TMDs using theoretical and experimental methods such as the transition of MoS 2 from an indirect to a direct semiconductor when reducing the dimensions from bulk and multilayers to a monolayer. [4][5][6][7][8][9][10][11][12][13][14][15][16] Magnetic 2D materials are especially interesting due to their potential use in spintronic devices. [17][18][19][20][21][22][23] The prediction of magnetic TMD materials has been subject to extensive theoretical investigation, such as the systematic change in magnetic properties through strain, 18,22,[24][25][26][27] hydrogenation, 27,28 and chemical substitution.…”
Section: Introductionmentioning
confidence: 99%
“…et al Zhan et al Eg (Maniadaki et al) Eg+exciton (Maniadaki et al)0.00 0.25 0.50 0.75 1.00 1Uniaxial strain dependence of A-exciton PL peak energy shift for monolayer TMDs, comparing our calculations (in blue) with experimental data (symbols) along with their best fit line (red-dashed). References: Conley et al[5], Island et al[21], Wang et al[18], Zhang et al[19], Schmidt et al[20], Maniadaki et al[24].…”
mentioning
confidence: 99%