2016
DOI: 10.1016/j.optmat.2016.10.010
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LSE investigation of the thermal effect on band gap energy and thermodynamic parameters of BInGaAs/GaAs Single Quantum Well

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Cited by 26 publications
(7 citation statements)
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“…As for the QW structure, the compositional and structural inhomogeneity may cause the localized potential fluctuations in the band structure of layered RP perovskite and free carriers (excitons) that in movement will be perturbed. Those are the origin of trap levels which might spatially trap (localize) the free carriers (excitons) . The degree of localization effect can be determined by fitting the temperature‐dependent emission energy curve (Figure D) with the band‐tail model …”
Section: Resultsmentioning
confidence: 99%
“…As for the QW structure, the compositional and structural inhomogeneity may cause the localized potential fluctuations in the band structure of layered RP perovskite and free carriers (excitons) that in movement will be perturbed. Those are the origin of trap levels which might spatially trap (localize) the free carriers (excitons) . The degree of localization effect can be determined by fitting the temperature‐dependent emission energy curve (Figure D) with the band‐tail model …”
Section: Resultsmentioning
confidence: 99%
“…In order to understand the anomalous temperature dependence of PL, the PL peak position has been investigated using the LSE model developed by Li et al [ 25 , 26 ]. Indeed, this quantitative model provides a satisfactory explanation for the anomalous spectral features of the localized-state luminescence previously observed in several III–V materials such as boron-based B(In)GaAs/GaAs [ 27 , 28 ] alloys and InGaAs/GaAs MQWs [ 29 , 30 ]. The model assumed that the localized state has a Gaussian-type energy distribution for density of states given by: …”
Section: Theoretical Approachmentioning
confidence: 54%
“…The luminescence features can be described by either the classical or the modified Passler model due to the thermal redistribution coefficient (later designed as R (T)). More information on the modeling concept and the related parameters can be found through [24,25].…”
Section: Modelling and Quantitative Interpretation Of CLmentioning
confidence: 99%