Theoretical investigation of electron transport properties in organic functional isomers - Ab initio study

Aadhityan, A.; Kala, C. Preferencial; Thiruvadigal, D. John

doi:10.1016/j.apsusc.2019.06.273

Cited by 3 publications

(1 citation statement)

References 30 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The MR is also calculated for this junction and is shown in figure 9(d). A high MR-∼123%-is exhibited at 0.8 V. In a recent study Adhityan et al have reported a 27.28% MR value at zero applied bias for the MgO tunnel barrier with Co electrodes [24]. In a similar study Chakraverty et al carried out their investigation in the same magnetic junction in the presence of external bias and reported a maximum MR value of 91% [25].…”

Section: Resultsmentioning

confidence: 91%

Spin transport through metal-dichalcogenides layers: a study from first-principles calculations

Devaraj¹,

Tarafder²

2020

J. Phys.: Condens. Matter

View full text Add to dashboard Cite

Spin transport through monolayer and trilayers of molybdenum dichalcogenides were studied considering Co as leads. Detailed investigations of the electronic structure of the Co/MoS2 interface and magnetic tri-junctions are carried out by using density functional theory calculations to understand transport behavior. The study revealed that new spin-polarized hybridized states appeared at the Fermi level due to the formation of Co/MoS2 interface that effectively acted as a spin filter and enhanced the spin injection efficiency of the systems. Spin-polarized current through the system as well as the magnetoresistance (MR) was estimated at different applied bias voltages. Large MR up to 78% was calculated for the trilayer MoS2 system at a relatively high applied bias voltage. The MR values are further improved by tuning the structure of the scattering region. A very large MR of 123% for MoS2/MoSe2/MoS2 trilayer at an applied bias 0.8 V was observed, which is much higher than the previously reported bias dependent MR values in similar systems.

show abstract

Section: Resultsmentioning

confidence: 91%