Refractive indices of semiconductors from energy gaps

Tripathy, S. K.

doi:10.1016/j.optmat.2015.04.026

Cited by 318 publications

(101 citation statements)

References 63 publications

(81 reference statements)

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“…Among all these five models, Moss and Kumar and Singh give similar results in the range of 2.29-2.33. In 2015, Tripathy [47] gave the following reliability ranges for the energy band gaps based on these five models and these values were listed in table 5.…”

Section: Refractive Index Calculationmentioning

confidence: 99%

Structure, microstructure, optical and photocatalytic properties of Mn-doped ZnO nanoparticles

Şenol

Yalçın

Özuğurlu

et al. 2020

Mater. Res. Express

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In this work, Zn 1−x Mn x O samples were synthesized by the hydrothermal method by varying the dopant ratio from x=0.01 to 0.05 with 0.01 increment. Structural, optical and photocatalytic properties of Mn-doped ZnO were analyzed based on their concentration dependence. Structural behavior of the nanoparticles was studied by X-ray diffraction technique and it was found that Zn 1−x Mn x O samples were hexagonal Wurtzite structure with no secondary phase. The effect of Mn element in Zn 1-x Mn x O composition was clarified by calculating lattice parameters, cell volumes, stress, microstrain, the locality of the atoms dislocation density, displacement of atoms and bond length. SEM images revealed random agglomeration. The band gap and Urbach energies of Zn 1−x Mn x O structures were determined and discussed. Different models were used to calculate refractive index and the refractive index was found in the range of 2.05-2.72. Mn-doped ZnO nanoparticles exhibited lower degradation rate constants (k=0.0004-0.0009 min −1 ) than that of pure ZnO (k=0.0014 min −1 ). Doping Mn increased the Urbach energy value.

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Section: Refractive Index Calculationmentioning

confidence: 99%

Structure, microstructure, optical and photocatalytic properties of Mn-doped ZnO nanoparticles

Şenol

Yalçın

Özuğurlu

et al. 2020

Mater. Res. Express

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“…A detailed discussion of these models can be found in Ref. 5. It is clear that none of them follow closely the trend of the data (their mean absolute errors (MAE) range from 0.42 to 0.91) nor do they account for the wide spread of the points.…”

Section: A Global Trendmentioning

confidence: 99%

Searching for materials with high refractive index and wide band gap: A first-principles high-throughput study

Naccarato

Ricci

Suntivich

et al. 2019

Phys. Rev. Materials

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Materials combining both a high refractive index and a wide band gap are of great interest for optoelectronic and sensor applications. However, these two properties are typically described by an inverse correlation with high refractive index appearing in small gap materials and vice-versa. Here, we conduct a first-principles high-throughput study on more than 4000 semiconductors (with a special focus on oxides). Our data confirm the general inverse trend between refractive index and band gap but interesting outliers are also identified. The data are then analyzed through a simple model involving two main descriptors: the average optical gap and the effective frequency. The former can be determined directly from the electronic structure of the compounds, but the latter cannot. This calls for further analysis in order to obtain a predictive model. Nonetheless, it turns out that the negative effect of a large band gap on the refractive index can counterbalanced in two ways: (i) by limiting the difference between the direct band gap and the average optical gap which can be realized by a narrow distribution in energy of the optical transitions and (ii) by increasing the effective frequency which can be achieved through either a high number of transitions from the top of the valence band to the bottom of the conduction or a high average probability for these transitions.Focusing on oxides, we use our data to investigate how the chemistry influences this inverse relationship and rationalize why certain classes of materials would perform better. Our findings can be used to search for new compounds in many optical applications both in the linear and non-linear regime (waveguides, optical modulators, laser, frequency converter, etc.). arXiv:1809.01132v2 [cond-mat.mtrl-sci]

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“…In Sect-2, we have calculated different optical properties of II-VI and III-V group semiconductors such as dielectric constant, optical susceptibility and reflectivity using the relation proposed in Ref. [49]. The calculated values are also compared with the values predicted using some well known relations.…”

Section: Introductionmentioning

confidence: 99%

Optical and electronic properties of some semiconductors from energy gaps

Tripathy

Pattanaik

2016

Optical Materials

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II-VI and III-V tetrahedral semiconductors have significant potential for novel optoelectronic applications. In the present work, some of the optical and electronic properties of these groups of semiconductors have been studied using a recently proposed empirical relationship for refractive index from energy gap. The calculated values of these properties are also compared with those calculated from some well known relationships. From an analysis of the calculated electronic polarisability of these tetrahedral binary semiconductors from different formulations, we have proposed an empirical relation for its calculation. The predicted values of electronic polarisability of these semiconductors agree fairly well with the known values over a wide range of energy gap.

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Refractive indices of semiconductors from energy gaps

Cited by 318 publications

References 63 publications

Structure, microstructure, optical and photocatalytic properties of Mn-doped ZnO nanoparticles

Structure, microstructure, optical and photocatalytic properties of Mn-doped ZnO nanoparticles

Searching for materials with high refractive index and wide band gap: A first-principles high-throughput study

Optical and electronic properties of some semiconductors from energy gaps

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