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Related Concept Videos

Biasing of Metal-Semiconductor Junctions01:27

Biasing of Metal-Semiconductor Junctions

771
Biasing metal-semiconductor junctions involves applying a voltage across the junction. Specifically, the metal is connected to a voltage source, while the semiconductor is grounded. This technique is essential for controlling the direction and magnitude of current flow in electronic devices, including diodes, transistors, and photovoltaic cells.
In Schottky junctions, where the semiconductor is n-type, applying a positive voltage to the metal relative to the semiconductor reduces its Fermi...
771

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Fabrication And Characterization Of Photonic Crystal Slow Light Waveguides And Cavities
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Low-loss process optimization for 3D IOX waveguides fabricated by matrix electrodes using Gaussian process regression

Shu Liu, Yu Zheng, Ke Zeng

    Applied Optics
    |March 17, 2026
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    Summary
    This summary is machine-generated.

    A novel fabrication method for three-dimensional ion-exchanged (3D IOX) waveguides was developed using a matrix-electrode configuration. This method significantly improved transmission efficiency by reducing waveguide loss by 27%.

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    Area of Science:

    • Photonics
    • Materials Science
    • Optical Engineering

    Background:

    • Three-dimensional ion-exchanged (3D IOX) waveguides are crucial for advanced photonic applications like co-packaged optics and high-density integration.
    • Existing fabrication methods require optimization for improved performance and efficiency.

    Purpose of the Study:

    • To propose and validate a novel fabrication method for 3D IOX waveguides using a matrix-electrode configuration.
    • To develop a comprehensive multiphysics model for simulating the 3D IOX waveguide fabrication process.
    • To create an integrated optimization algorithm for enhancing waveguide performance.

    Main Methods:

    • Fabrication of 3D IOX waveguides using a matrix-electrode configuration.
    • Development of a multiphysics model integrating electric field, ion concentration, temperature, and refractive index.
    • Experimental validation of the multiphysics model.
    • Implementation of an optimization algorithm combining piecewise power-law distribution, Gaussian process regression, and Bayesian optimization.

    Main Results:

    • The multiphysics model demonstrated high predictive accuracy with a 0.06% average refractive index error and a 0.6 µm burial-depth error.
    • Experimental results showed excellent agreement with the model's predictions.
    • The integrated optimization algorithm achieved high prediction accuracy (R²=0.9996, RMSE=0.0061).
    • Optimized 3D SSC waveguides exhibited a significant reduction in transmission loss from 1.52 to 0.1 dB, a 27% improvement in transmission efficiency.

    Conclusions:

    • The proposed matrix-electrode fabrication method and multiphysics model offer a highly accurate approach for 3D IOX waveguides.
    • The integrated optimization algorithm effectively enhances waveguide performance, significantly reducing transmission loss.
    • This work paves the way for more efficient and high-density photonic integration.