Development of a Multi-Objective Evolutionary Algorithm for Strain-Enhanced Quantum Cascade Lasers
Abstract
:1. Introduction
2. Background of Evolutionary Algorithms and QCLs
3. Algorithm Description and Design Approach
3.1. Initial Population
3.2. Simulation and Data Collection
3.3. Fitness Evaluation and Candidate Selection
3.4. Fitness Objective Calculation
4. Results and Discussion
4.1. Average Fitness Values over Time
4.2. Bandstructure Diagrams of Top Candidates
4.2.1. Initial Training Population
4.2.2. Random Initial Population
5. Conclusions
Acknowledgments
Author Contributions
Conflicts of Interest
References
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Parameter | Value |
---|---|
Initial Population Size | 8 |
Population | 64 |
Generations | 100 |
Variables | 18 |
Objectives | 4 |
Parameter | Value(s)/Range |
---|---|
Surface Indices | (111) |
Electric Field (kV/cm) | 48 |
Well Widths (ML) | 1–96 |
Barrier Widths (ML) | 1–96 |
Well Alloy (%) | 0–100 |
Barrier Alloy (%) | 10–45 |
Active Region Wells | 3 |
Active Region Barriers | 3 |
Injector Well | 5 |
Injector Barriers | 5 |
Objective | Normalized Fitness Value |
---|---|
Target Wavelength | 0.743 |
LO Phonon Resonance | 0.779 |
Injector Coupling | 0.564 |
Gain Metric | 0.4194 |
Objective | Normalized Fitness Value |
---|---|
Target Wavelength | 0.8611 |
LO Phonon Resonance | 0.9732 |
Injector Coupling | 0.6622 |
Gain Metric | 0.8829 |
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Mueller, D.; Triplett, G. Development of a Multi-Objective Evolutionary Algorithm for Strain-Enhanced Quantum Cascade Lasers. Photonics 2016, 3, 44. https://doi.org/10.3390/photonics3030044
Mueller D, Triplett G. Development of a Multi-Objective Evolutionary Algorithm for Strain-Enhanced Quantum Cascade Lasers. Photonics. 2016; 3(3):44. https://doi.org/10.3390/photonics3030044
Chicago/Turabian StyleMueller, David, and Gregory Triplett. 2016. "Development of a Multi-Objective Evolutionary Algorithm for Strain-Enhanced Quantum Cascade Lasers" Photonics 3, no. 3: 44. https://doi.org/10.3390/photonics3030044