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Updated: Jul 3, 2026

Design and Development of a Three-Dimensionally Printed Microscope Mask Alignment Adapter for the Fabrication of Multilayer Microfluidic Devices
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Design and fabrication of a robust hard X-ray multilayer using multi-objective genetic algorithms.

Wei-Ming Han, Ji-En Han, Jian-Bo Wang

    Optics Express
    |July 2, 2026
    PubMed
    Summary

    This study introduces a novel multi-objective genetic algorithm (MOGA) for designing X-ray supermirrors. The approach enhances mirror flatness and robustness, optimizing performance for advanced applications.

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    Area of Science:

    • Optics and Materials Science
    • Computational Physics
    • Nanotechnology

    Background:

    • X-ray supermirrors are crucial for focusing and manipulating X-rays.
    • Designing aperiodic multilayers presents challenges in optimizing reflectivity and flatness.
    • Existing design methods may not fully explore the potential performance of these complex structures.

    Purpose of the Study:

    • To propose a novel design approach for aperiodic multilayer X-ray supermirrors.
    • To optimize the trade-off between average reflectivity and flatness.
    • To enhance the robustness and overall performance of X-ray supermirror designs.

    Main Methods:

    • Utilizing multi-objective genetic algorithms (MOGAs) for aperiodic multilayer design.
    • Identifying critical turning points between reflectivity and flatness using nondominated solutions.

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  • Employing an angle-based preference selection mechanism (MOGA-ANGLE) for refined solution exploration.
  • Main Results:

    • Nondominated solutions revealed key trade-offs between reflectivity and flatness.
    • The MOGA-ANGLE method successfully identified optimized design solutions.
    • Experimental validation confirmed superior flatness and robustness compared to traditional genetic algorithm methods.

    Conclusions:

    • The proposed MOGA-based approach effectively designs high-performance aperiodic multilayer X-ray supermirrors.
    • The method achieves enhanced flatness and robustness, fully exploring design potential.
    • This approach offers a significant advancement in X-ray optics design and fabrication.