On the low energy tail of the electron-hole drop recombination spectrum

Martin, Rolf; Störmer, H. L.

doi:10.1016/0038-1098(77)91406-5

Cited by 76 publications

(12 citation statements)

References 7 publications

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“…From the parabolic band approximation, for constant effective masses the energies in the expressions of f c and f v are calculated from following relationships [5]. For accurate calculation of gain spectra, energy and density dependent broadening [8][9] [13] is considered in the second gain expression which is given below [5] [14].…”

Section: B Optical Gain Calculationmentioning

confidence: 99%

A generalized model using genetic algorithm for optimization of material gain of the active layer of a MQW Edge emitting laser with unequal well width

Polash

Kayes

2014

2013 International Conference on Electrical Information and Communication Technology (EICT)

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In this work, a computational model for optimization of material gain of the active region of a multiple quantum well (MQW) edge emitting laser (EEL) using genetic algorithm has been developed. Through this optimization procedure, the values of the width of quantum wells (QW), width of barriers, lattice temperature, injection carrier density and number of QWs which are related to material gain of the active region are optimized for optimizing the design of a MQW EEL. For the above mentioned optimization the numerical simulation of the optical gain expression of MQW EEL along with the solution of the Schrodinger's equation has been performed using MATLAB. The developed optimization based design technique has been applied for the design of (i) a 1550nm In 0.72 Ga 0.28 As 0.82 P 0.18 / In 0.42 Ga 0.58 As 0.82 P 0.18 MQW EEL having 3 QWs and also (ii) for a 1550nm In 0.72 Ga 0.28 As 0.82 P 0.18 / In 0.42 Ga 0.58 As 0.82 P 0.18 MQW EEL having 5 QWs for testing the validity. The computation indicates clearly that the optimization based computational model works well and can be easily used for the design of MQW EELs.

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Section: B Optical Gain Calculationmentioning

confidence: 99%

A generalized model using genetic algorithm for optimization of material gain of the active layer of a MQW Edge emitting laser with unequal well width

Polash

Kayes

2014

2013 International Conference on Electrical Information and Communication Technology (EICT)

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“…More specifically rn from Eqn. (20) is used in the boundary condition in the envelope function approximation, but the density of states and optical joint density of states for interband transitions are governed by the in-plane mass (ms).…”

Section: Anisotropic Parabolic Band Approximationmentioning

confidence: 99%

“…We use the analytical band structure for bulk material using k. (20) 2mm0 2mrno Once the band structure is simplified to an anisotropic parabolic form we can apply conventional approaches to treat the carrier concentration and the optical transition probabilities. Up to this point, our approach is still fairly accurate.…”

Section: Anisotropic Parabolic Band Approximationmentioning

confidence: 99%

<title>Two-dimensional simulation of quantum well lasers</title>

McAlister

1994

Physics and Simulation of Optoelectronic Devices II

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We describe a two-dimensional model for quantum-well lasers that solves self-consistently the electrical and optical equations. The model includes a wavelength-and position-dependent gain function which is derived from a quantum-mechanical calculation. We have also incorporated the effects of strain into the model, through an anisotropic parabolic band approximation of the band structure from a Luttinger-Kohn k.p theory. With this model we are able to predict the lasing characteristics such as the light-current behavior, current and optical field distributions, as well as the optical gain, spontaneous emission rate and dependence of the characteristics on geometry and layer design. Examples of the utility of our approach are shown which, for instance, clearly show the benefit of strain to laser design.

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“…Hereafter, we discuss the e-h plasma dynamics using the momentum conservation model with a Lorentzian broadening of the Landsberg theory. 24,25 We applied the same approximated energy dependent Lorentzian width described in Ref. 24 for all samples.…”

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confidence: 99%