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Genetic algorithm optimization of high order surface etched grating tunable laser array.

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    A novel genetic algorithm optimizes tunable lasers, significantly improving output power, efficiency, and high-temperature performance. This breakthrough enhances slotted laser array designs for broader applications.

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    Area of Science:

    • Photonics and Laser Technology
    • Computational Physics
    • Materials Science

    Background:

    • Surface-etched grating tunable lasers are crucial for optical communications.
    • Previous designs faced limitations in efficiency, fabrication tolerance, and high-temperature operation.
    • Optimization of complex laser parameters requires advanced computational methods.

    Purpose of the Study:

    • To develop and apply a genetic algorithm for optimizing surface-etched grating tunable lasers.
    • To improve key performance metrics including output power, grating order, and thermal stability.
    • To enhance fabrication tolerance and achieve narrower linewidths in slotted laser arrays.

    Main Methods:

    • Implementation of a genetic algorithm to explore a large multi-variable optimization space.
    • Optimization of slotted laser arrays using the developed genetic algorithm.
    • Simulation and analysis of improved laser designs, including parameters like slope efficiency and grating order.

    Main Results:

    • Achieved near-doubling of slope efficiency to 0.1-0.13 mW/mA.
    • Reduced grating order from 37 to 24-29, enhancing performance.
    • Demonstrated improved performance at high temperatures and reduced sensitivity to etch depth variations.
    • Simulated designs with linewidths as low as 100 kHz.

    Conclusions:

    • The genetic algorithm effectively optimizes tunable laser designs, yielding significant performance enhancements.
    • New designs offer superior efficiency, broader wavelength coverage (C-band), and improved robustness.
    • The algorithm is adaptable for optimizing slotted lasers on various wafer materials for new wavelength applications.