Exploring High Efficiency PCSELs Using Probabilistic Markov Chain Model

In this work, device designs to improve the power conversion efficiency of PCSELs are analyzed by a probabilistic Markov chain model. Critical comparison of total parasitic loss, output ratio, threshold current and power conversion efficiency at 1 W are considered. This is carried out for a range of possible new device designs that address self-absorption in the boundary PC to the PCSEL active element.

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Publication Details

Journal
IEEE Journal of Selected Topics in Quantum Electronics
Published
2026-01-01
DOI
https://doi.org/10.1109/jstqe.2026.3677786
Primary Topic
Semiconductor Lasers and Optical Devices
Type
article
Field-Weighted Citation Impact
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article

Exploring High Efficiency PCSELs Using Probabilistic Markov Chain Model

Jingzhao Liu, Paul Harvey, Richard J. E. Taylor, David Childs et al.
IEEE Journal of Selected Topics in Quantum Electronics
Semiconductor Lasers and Optical Devices
article

Exploring High Efficiency PCSELs Using Probabilistic Markov Chain Model

Jingzhao Liu, Paul Harvey, Richard J. E. Taylor, David Childs, R. A. Hogg, X. Zhao, Stephen J. Sweeney, Daehyun Kim, Jonathan R. Orchard
article en

Abstract

In this work, device designs to improve the power conversion efficiency of PCSELs are analyzed by a probabilistic Markov chain model. Critical comparison of total parasitic loss, output ratio, threshold current and power conversion efficiency at 1 W are considered. This is carried out for a range of possible new device designs that address self-absorption in the boundary PC to the PCSEL active element.

IEEE Journal of Selected Topics in Quantum Electronics
Aston University (GB), Fraunhofer Centre for Applied Photonics (GB), University of Glasgow (GB)
Affordable and clean energy
Openalex Percentile: Top 9%
Semiconductor Lasers and Optical Devices
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Exploring High Efficiency PCSELs Using Probabilistic Markov Chain Model — Jingzhao Liu, Paul Harvey, et al. · IEEE Journal of Selected Topics in Quantum Electronics (2026) | TGRS Research Map | TGRS