Highly enhanced second-order nonlinear susceptibilities in tailored GaN–AlGaN–AlN quantum well structures

Rostami, Ali; Nejad, H. Baghban Asghari; Saghai, H. Rasooli

doi:10.1016/j.physb.2008.02.004

Cited by 12 publications

(5 citation statements)

References 17 publications

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“…8 Computer modelling calculations were used to design new molecules of desired performance by inserting gold nanoparticles and aromatic fragments in the oligo-(dibenzyl sulphide) molecules using either full search or GA. 227 Similar studies are also reported elsewhere. [228][229][230][231][232] Colour recipe prediction problem keeping spectrophotometric and colorimetric colour matching as targets with the limitation of colorant numbers is also available in the literature using GAs. 233 A multiobjective GA framework considering the mechanical performance and the electrical conductivity properties is adopted to optimise the input parameters for a Cu-Cr-Zr-Mg lead frame alloy where a supervised artificial NN is considered to model the non-linear relationship among the parameters of aging treatment, hardness and conductivity properties.…”

Section: Other Applicationsmentioning

confidence: 99%

Genetic algorithms in polymeric material production, design, processing and other applications: a review

Mitra¹

2008

International Materials Reviews

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Genetic algorithms (GAs) belong to the broader family of generic population based metaheuristic optimisation algorithms called evolutionary algorithms. These are one of the biology inspired computing techniques that emulate the basic Darwinian concept of natural selection. Because of their many positive attributes such as ease of use, versatility and robustness, GAs have become important in materials research very rapidly since their inception. Though going through a major stage of theoretical development, GAs have been successfully applied in many fields such as polymer production, polymer design, polymer processing, polymer laminates and other polymers, as well as non-polymer applications in recent times. The present review attempts to present the state of the art in this area. The review is broadly divided into three sections: fundamentals of GAs, the use of GAs in polymeric materials and the use of GAs in non-polymer applications. First, the fundamentals of GAs are presented to provide some glimpse of the technique; this is followed by presentations on applications of GAs in various polymeric fields, such as in polymer production, polymer scheduling, polymer design, polymer laminates and other polymer related applications and non-polymeric fields, e.g. metallic laminates and other metallic material applications. A thorough literature review and critical analysis of the review is provided and attempts have been made to portray how evolutionary optimisation techniques, GAs in particular, are used across a variety of applications.

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Section: Other Applicationsmentioning

confidence: 99%

Genetic algorithms in polymeric material production, design, processing and other applications: a review

Mitra¹

2008

International Materials Reviews

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“…In addition, the creation of asymmetric structures based on semiconductor compounds has been evolving in response to the rapid development of technologies such as telecommunications, imaging, and signal processing. Many low-dimensional asymmetric structure types showing SHG, including semi-parabolic quantum wells [20][21][22], square tangent quantum wells [23], single quantum wells [24][25][26], multiple quantum wells [27][28][29], and semi-inverse squared quantum wells [21], have been deeply studied.…”

Section: Introductionmentioning

confidence: 99%

Hydrostatic pressure and temperature effects on nonlinear optical properties in harmonic-Gaussian asymmetric double quantum wells

Sayrac,

Dakhlaoui,

Mora-Ramos

et al. 2024

Phys. Scr.

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The paper examines the linear and non-linear optical characteristics of an electron in harmonic Gaussian asymmetrical double quantum wells, taking into account thermodynamic variables such as temperature and hydrostatic pressure. Numerical calculations by considering the effective mass and parabolic band approximation are performed. The electron contained within an asymmetric double well generated by the sum of a parabolic and Gaussian potential has its eigenvalues and eigenfunctions determined using the diagonalization approach. For nonlinear optical coefficients, the density matrix expansion is used. Wavefunctions and energy levels vary as an effect of the applied fields. In harmonic Gaussian asymmetrical double quantum wells, the total optical absorption coefficient (TOAC), the relative refractive index changes (RRIC), and second harmonic generation (SHG) have all been theoretically investigated. The magnitude and position of the resonant peaks are significantly influenced by the temperature effects. With controllable coupling and externally applied hydrostatic pressure and temperature, the potential model presented in this study can be used to simulate and manipulate the optical and electronic properties of the asymmetric double-quantum heterostructures, such as double quantum dots and wells.

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“…E. Kasapoglu et al [5] report the absorption coefficient as well as the refractive index change, considering third order nonlinear corrections, with expression obtained in the compact density-matrix, taking into account the effect of external applied electric field. We can give some other references discussing nonlinear optical properties enhancement [6][7][8][9][10][11][12]. Now, we would like to talk about the non-resonant intense laser field (ILF) effect, which is an important external factor that can modify the potential profile seen by the charge carriers, as reported by F.M.S.…”

Section: Introductionmentioning

confidence: 99%

In plane magnetic ﬁeld and intense laser ﬁeld effects on second harmonic generation of asymmetric AlGaAs/GaAs double quantum well

Gonzalez

Briseño²,

Maldonado³

et al. 2022

Rev. Mex. Fís.

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The optical properties for nano-structured semiconductor systems are of great importance nowadays, due to its possible implementation for the design of efficient optoelectronic devices. It is also well known that external fields can modify the electronic structure, and induce changes the optical properties as well. In particular the asymmetric double quantum well structures are of paramount importance because its wide range on possible configurations and also because are experimentally feasible and well controlled, particularly AlxGa1-xAs/GaAs heterostructures. In this work we report a systematic study on second harmonic generation (SHG) for an asymmetric AlxGa1-xAs/GaAs double quantum well as a function of non-resonant intense laser field and in-plane magnetic field effect. We analyze the energy level behavior as well as the dipole matrix elements as a function of the above mentioned factors that are important for the SHG. We report a particular configuration that optimize the SHG peak, with and without intense laser field effect, as well as magnetic fields, that also tune the SHG.

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Highly enhanced second-order nonlinear susceptibilities in tailored GaN–AlGaN–AlN quantum well structures

Cited by 12 publications

References 17 publications

Genetic algorithms in polymeric material production, design, processing and other applications: a review

Genetic algorithms in polymeric material production, design, processing and other applications: a review

Hydrostatic pressure and temperature effects on nonlinear optical properties in harmonic-Gaussian asymmetric double quantum wells

In plane magnetic ﬁeld and intense laser ﬁeld effects on second harmonic generation of asymmetric AlGaAs/GaAs double quantum well

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