Research Data Leeds Repository
Dataset associated with 'Infinite-period density-matrix model for terahertz-frequency quantum cascade lasers'
Citation
Demić, Aleksandar and Grier, Andrew and Ikonić, Zoran and Valavanis, Alexander and Evans, Craig A. and Mohandas, Reshma A. and Li, Lianhe and Linfield, Edmund and Davies, A. Giles and Indjin, Dragan (2017) Dataset associated with 'Infinite-period density-matrix model for terahertz-frequency quantum cascade lasers'. University of Leeds. [Dataset] https://doi.org/10.5518/1941
Dataset description
In this work we present a density matrix model which considers an infinite quantum cascade laser (QCL) and models transport via a nearest neighbor approximation. We will discuss derivation of output parameters of the model in detail and show the direct mathematical link to semi-classical rate equation approach. This model can be extended to an arbitrary number of states in the QCL period, without a priori specification of upper and lower lasing level. Application of the model to various QCL structures is possible, including bound-to-continuum structures which typically employ a large number of states per period. The model has been applied to a 2 THz bound-to-continuum QCL and a very good agreement with measured V-I characteristics is obtained along with qualitative agreement with measured L-I characteristics in terms of dynamic range. This archive contains the data associeted with the publication "Infinite-period density-matrix model for terahertz-frequency quantum cascade lasers" and refers to all data presented in 8 figures in the paper.
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- 1. https://doi.org/10.5518/194
- 2. https://archive.researchdata.leeds.ac.uk/view/subjects/F321.html
- 3. https://archive.researchdata.leeds.ac.uk/view/subjects/F342.html
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- 7. https://archive.researchdata.leeds.ac.uk/view/divisions/IMP/
- 8. https://doi.org/10.1109/TTHZ.2017.2705481
- 9. https://eprints.whiterose.ac.uk/116719/
- 10. https://archive.researchdata.leeds.ac.uk/id/eprint/156
- 11. https://orcid.org/0000-0003-1335-6156
- 12. https://orcid.org/0000-0003-1044-3166
- 13. https://orcid.org/0000-0003-4645-377X
- 14. https://orcid.org/0000-0001-5565-0463
- 15. https://orcid.org/0000-0001-8110-7034
- 16. https://orcid.org/0000-0003-4998-7259
- 17. https://orcid.org/0000-0001-6912-0535
- 18. https://orcid.org/0000-0002-1987-4846
- 19. https://orcid.org/0000-0002-9121-9846
- 20. mailto:elade@leeds.ac.uk
- 21. https://archive.researchdata.leeds.ac.uk/156/9/xmgrace_info.docx
- 22. https://archive.researchdata.leeds.ac.uk/156/9/xmgrace_info.docx
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- 24. https://archive.researchdata.leeds.ac.uk/156/9/xmgrace_info.docx
- 25. https://archive.researchdata.leeds.ac.uk/156/1/Figure_1_1668.xmgrace
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- 32. https://archive.researchdata.leeds.ac.uk/156/2/Figure_2_1286.xmgrace
- 33. https://archive.researchdata.leeds.ac.uk/156/3/Figure_3_494.xmgrace
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- 41. https://archive.researchdata.leeds.ac.uk/156/5/Figure_5a_1278.xmgrace
- 42. https://archive.researchdata.leeds.ac.uk/156/5/Figure_5a_1278.xmgrace
- 43. https://archive.researchdata.leeds.ac.uk/156/5/Figure_5a_1278.xmgrace
- 44. https://archive.researchdata.leeds.ac.uk/156/5/Figure_5a_1278.xmgrace
- 45. https://archive.researchdata.leeds.ac.uk/156/6/Figure_5b_1322.xmgrace
- 46. https://archive.researchdata.leeds.ac.uk/156/6/Figure_5b_1322.xmgrace
- 47. https://archive.researchdata.leeds.ac.uk/156/6/Figure_5b_1322.xmgrace
- 48. https://archive.researchdata.leeds.ac.uk/156/6/Figure_5b_1322.xmgrace
- 49. https://archive.researchdata.leeds.ac.uk/156/7/Figure_6_993.xmgrace
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