2023
DOI: 10.3390/computation11010005
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Modeling of Quantum Dots with the Finite Element Method

Abstract: Considering the increasing number of experimental results in the manufacturing process of quantum dots (QDs) with different geometries, and the fact that most numerical methods that can be used to investigate quantum dots with nontrivial geometries require large computational capacities, the finite element method (FEM) becomes an incredibly attractive tool for modeling semiconductor QDs. In the current article, we used FEM to obtain the first twenty-six probability densities and energy values for the following… Show more

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Cited by 16 publications
(11 citation statements)
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“…Structures employing QDs as the intermediate band include InAs/GaAs, GaAs/AlGaAs, and InAs/AlGaAs [27][28][29][30]. QDs with pyramidal, spherical, and cylindrical shapes have demonstrated improved light absorption and efficiency [31][32][33]. Among these, cylindrical QDs exhibit less sensitivity to incident light angles than other dot shapes, resulting in minimal changes and higher absorption rates [2,34].…”
Section: Introductionmentioning
confidence: 99%
“…Structures employing QDs as the intermediate band include InAs/GaAs, GaAs/AlGaAs, and InAs/AlGaAs [27][28][29][30]. QDs with pyramidal, spherical, and cylindrical shapes have demonstrated improved light absorption and efficiency [31][32][33]. Among these, cylindrical QDs exhibit less sensitivity to incident light angles than other dot shapes, resulting in minimal changes and higher absorption rates [2,34].…”
Section: Introductionmentioning
confidence: 99%
“…One of the powerful numerical methods for calculating the electronic structure of QDs is the finite element method (FEM), a method for solving equations that approximates continuous quantities as a collection of discrete quantities at regular intervals to form a grid or mesh [33][34][35][36]. FEM is one of the most effective numerical tools that may be utilized for this aim.…”
Section: Introductionmentioning
confidence: 99%
“…This approach allows us to solve the eigenvalue problem quickly and efficiently for QDs with complex morphological and potential profiles without needing a supercomputer or computing cluster. The authors of [33] utilized FEM to calculate the first twenty-six probability densities and energy values for the following GaAs structures: rectangular, spherical, cylindrical, ellipsoidal, spheroidal, and conical QDs, as well as quantum rings, nanotadpoles, and nanostars. The authors' numerical calculations were compared to the exact analytical solutions, and a good divergence was found.…”
Section: Introductionmentioning
confidence: 99%
“…Additionally, the authors used FEM to study the diffusion effects on the potential depth of spherical CdSe/CdS quantum dots and obtained results consistent with experimental data. Overall, FEM allows for a detailed analysis of the electronic properties of QDs with complex geometries, providing valuable insights for the design and optimization of QDbased devices 52 .…”
Section: Introductionmentioning
confidence: 99%