Temperature-Dependent High-Speed Dynamics of Terahertz Quantum Cascade Lasers

Gary Agnew; Andrew Grier; Thomas Taimre; Karl Bertling; Yah Leng Lim; Zoran Ikonić; Paul Dean; Alexander Valavanis; Paul Harrison; Dragan Indjin; Aleksandar D. Rakić

doi:10.1109/JSTQE.2016.2638539

Temperature-Dependent High-Speed Dynamics of Terahertz Quantum Cascade Lasers

Gary Agnew, Andrew Grier, Thomas Taimre, Karl Bertling, Yah Leng Lim, Zoran Ikonić, Paul Dean, Alexander Valavanis, Paul Harrison, Dragan Indjin, Aleksandar D. Rakić

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

Terahertz frequency quantum cascade lasers offer a potentially vast number of new applications. To better understand and apply these lasers, a device-specific modeling method was developed that realistically predicts optical output power under changing current drive and chip temperature. Model parameters are deduced from the self-consistent solution of a full set of rate equations, obtained from energy-balance Schrödinger-Poisson scattering transport calculations. The model is, thus, derived from first principles, based on the device structure, and is, therefore, not a generic or phenomenological model that merely imitates the expected device behavior. By fitting polynomials to data arrays representing the rate equation parameters, we are able to significantly condense the model, improving memory usage and computational efficiency.

Original language	English
Article number	7792643
Number of pages	9
Journal	IEEE Journal on Selected Topics in Quantum Electronics
Volume	23
Issue number	4
Early online date	9 Mar 2017
DOIs	https://doi.org/10.1109/JSTQE.2016.2638539
Publication status	Published - 1 Jul 2017
Externally published	Yes

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This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 7 Affordable and Clean Energy
SDG 9 Industry, Innovation, and Infrastructure

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10.1109/JSTQE.2016.2638539Licence: CC BY

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title = "Temperature-Dependent High-Speed Dynamics of Terahertz Quantum Cascade Lasers",

abstract = "Terahertz frequency quantum cascade lasers offer a potentially vast number of new applications. To better understand and apply these lasers, a device-specific modeling method was developed that realistically predicts optical output power under changing current drive and chip temperature. Model parameters are deduced from the self-consistent solution of a full set of rate equations, obtained from energy-balance Schr{\"o}dinger-Poisson scattering transport calculations. The model is, thus, derived from first principles, based on the device structure, and is, therefore, not a generic or phenomenological model that merely imitates the expected device behavior. By fitting polynomials to data arrays representing the rate equation parameters, we are able to significantly condense the model, improving memory usage and computational efficiency.",

keywords = "bandwidth, electro-optical dynamics, free space communication, Quantum cascade laser, rate equation model, thermal roll-over, turn-on behavior",

author = "Gary Agnew and Andrew Grier and Thomas Taimre and Karl Bertling and Lim, \{Yah Leng\} and Zoran Ikoni{\'c} and Paul Dean and Alexander Valavanis and Paul Harrison and Dragan Indjin and Raki{\'c}, \{Aleksandar D.\}",

note = "Funding Information: This work was supported under the Australian Research Council's Discovery Projects funding scheme (DP 160 103910) and the Queensland Government's Advance Queensland programme. This work was also supported by the Engineering and Physical Sciences Research Council, U.K., under Grants EP/J017671/1 and EP/J002356/1 and DTG award, by the Royal Society under Wolfson Research Merit Awards WM110032 and WM150029, and by the European Cooperation in Science and Technology (Action BM1205). Publisher Copyright: {\textcopyright} 2017 IEEE.",

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AU - Agnew, Gary

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AU - Taimre, Thomas

AU - Bertling, Karl

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AU - Ikonić, Zoran

AU - Dean, Paul

AU - Valavanis, Alexander

AU - Harrison, Paul

AU - Indjin, Dragan

AU - Rakić, Aleksandar D.

N1 - Funding Information: This work was supported under the Australian Research Council's Discovery Projects funding scheme (DP 160 103910) and the Queensland Government's Advance Queensland programme. This work was also supported by the Engineering and Physical Sciences Research Council, U.K., under Grants EP/J017671/1 and EP/J002356/1 and DTG award, by the Royal Society under Wolfson Research Merit Awards WM110032 and WM150029, and by the European Cooperation in Science and Technology (Action BM1205). Publisher Copyright: © 2017 IEEE.

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N2 - Terahertz frequency quantum cascade lasers offer a potentially vast number of new applications. To better understand and apply these lasers, a device-specific modeling method was developed that realistically predicts optical output power under changing current drive and chip temperature. Model parameters are deduced from the self-consistent solution of a full set of rate equations, obtained from energy-balance Schrödinger-Poisson scattering transport calculations. The model is, thus, derived from first principles, based on the device structure, and is, therefore, not a generic or phenomenological model that merely imitates the expected device behavior. By fitting polynomials to data arrays representing the rate equation parameters, we are able to significantly condense the model, improving memory usage and computational efficiency.

AB - Terahertz frequency quantum cascade lasers offer a potentially vast number of new applications. To better understand and apply these lasers, a device-specific modeling method was developed that realistically predicts optical output power under changing current drive and chip temperature. Model parameters are deduced from the self-consistent solution of a full set of rate equations, obtained from energy-balance Schrödinger-Poisson scattering transport calculations. The model is, thus, derived from first principles, based on the device structure, and is, therefore, not a generic or phenomenological model that merely imitates the expected device behavior. By fitting polynomials to data arrays representing the rate equation parameters, we are able to significantly condense the model, improving memory usage and computational efficiency.

KW - bandwidth

KW - electro-optical dynamics

KW - free space communication

KW - Quantum cascade laser

KW - rate equation model

KW - thermal roll-over

KW - turn-on behavior

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Temperature-Dependent High-Speed Dynamics of Terahertz Quantum Cascade Lasers

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