Liu, Jingzhao (2026) Probabilistic Markov Chain model of photonic crystal surface emitting lasers. PhD thesis, University of Glasgow.
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Abstract
Semiconductor lasers face a fundamental trade-off between high output power and high-quality single-lobe beams. Photonic crystal surface-emitting lasers (PCSELs) have emerged as a promising platform that overcomes this limitation by enabling scalable, single-mode, vertical emission. However, their design is hindered by complex interactions between microscopic scattering and macroscopic losses—especially in-plane loss (α//), which is critical yet difficult to measure experimentally.
This thesis introduces a computationally efficient Probabilistic Markov Chain (PMC) model to bridge microscopic physics and device performance. By treating light propagation as a stochastic process, the model translates coupling coefficients into directional scattering probabilities, enabling rapid simulation of finite-sized PCSELs without directly solving Maxwell’s equations.
The PMC model is quantitatively and qualitatively validated by predicting the performance (e.g. loss, slope efficiency and near-field pattern) of PCSEL devices (GaN-based PCSEL, GaAs-based PCSEL and InP-based PCSEL) from references and against experimental PCSEL and resonator-embedded PCSEL (REPCSEL) data. The predicted result has excellent agreements (e.g. < 1 cm-1 difference in loss) with those reported in references and experimental. Through parametric studies, it quantifies the impact of in-plane coupling and integrated mirrors on α// and mode control. Furthermore, the model reveals an interdependence between in-plane and internal loss in designs with unpumped boundaries, challenging conventional design assumptions. Finally, three novel high-efficiency PCSEL architectures are proposed and evaluated—incorporating butt-coupled passive sections, selective area intermixing, and dual contacts—to minimize parasitic losses and maximize power conversion efficiency.
In summary, this work establishes the PMC model as a versatile design tool that provides fundamental insight into PCSEL loss mechanisms and opens new pathways toward highperformance, scalable semiconductor lasers.
| Item Type: | Thesis (PhD) |
|---|---|
| Qualification Level: | Doctoral |
| Subjects: | T Technology > TA Engineering (General). Civil engineering (General) T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Colleges/Schools: | College of Science and Engineering > School of Engineering |
| Supervisor's Name: | Sweeney, Professor Stephen and Hogg, Professor Richard |
| Date of Award: | 2026 |
| Depositing User: | Theses Team |
| Unique ID: | glathesis:2026-85932 |
| Copyright: | Copyright of this thesis is held by the author. |
| Date Deposited: | 19 May 2026 15:41 |
| Last Modified: | 20 May 2026 11:57 |
| Thesis DOI: | 10.5525/gla.thesis.85932 |
| URI: | https://theses.gla.ac.uk/id/eprint/85932 |
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