Machine-Learning-Enhanced NEGF Solver of Interband Cascade Laser

NEGF simulation of the interband cascade laser is performed taking into account various scattering proceses. The Hartree potential, important for device operation, is calculated by solving the Poisson equation with an excess charge approach. Support vector machine technique is used to effectively improve the charge classification. Results are compared with other methods of classification, showing a significant improvement.

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Published
2024-09-23
DOI
https://doi.org/10.1109/nusod62083.2024.10723554
Primary Topic
Spectroscopy and Laser Applications
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article
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article

Machine-Learning-Enhanced NEGF Solver of Interband Cascade Laser

Andrzej Kolek, Marcin Makowiec
Spectroscopy and Laser Applications
article

Machine-Learning-Enhanced NEGF Solver of Interband Cascade Laser

Andrzej Kolek, Marcin Makowiec
article en

Abstract

NEGF simulation of the interband cascade laser is performed taking into account various scattering proceses. The Hartree potential, important for device operation, is calculated by solving the Poisson equation with an excess charge approach. Support vector machine technique is used to effectively improve the charge classification. Results are compared with other methods of classification, showing a significant improvement.

Rzeszów University of Technology (PL)
Affordable and clean energy
Openalex Percentile: Top 86%
Spectroscopy and Laser Applications
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Machine-Learning-Enhanced NEGF Solver of Interband Cascade Laser — Andrzej Kolek, Marcin Makowiec · (2024) | TGRS Research Map | TGRS