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Spectral and Angle-Resolved Magneto-Optical Characterization of Photonic Nanostructures
Published on: November 21, 2019
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Sensitivity analysis and optimization of sub-wavelength optical gratings using adjoints.
Optics Express
|June 13, 2014
Summary
Adjoint-based optimization significantly speeds up photonic device design by reducing electric field computations. This method efficiently optimizes complex optical structures like gratings and waveguides.
Area of Science:
- Photonics and Optical Engineering
- Computational Electromagnetics
- Device Design and Optimization
Background:
- Numerical optimization of photonic devices is computationally intensive.
- The finite-differences gradient method requires numerous electric field calculations, proportional to design parameters.
- This limits the efficiency and scope of photonic device optimization.
Purpose of the Study:
- To introduce and derive the adjoint formalism for efficient gradient computation in photonic device optimization.
- To demonstrate the practical application of adjoint-based optimization.
- To overcome the computational limitations of traditional gradient methods.
Main Methods:
- Derivation of the adjoint formalism for electromagnetic field computations.
- Application of the adjoint method to optimize a waveguide slab.
- Utilizing the adjoint method for designing optical sub-wavelength gratings.
Main Results:
- Adjoint-based optimization requires only two electric field computations, regardless of design parameters.
- Demonstrated successful application in optimizing waveguide slabs.
- Successfully applied to the design of optical sub-wavelength gratings, showcasing efficiency gains.
Conclusions:
- Adjoint-based optimization offers a computationally efficient alternative to finite-differences methods for photonic devices.
- The derived adjoint formalism is a valuable tool for accelerating the design of complex photonic structures.
- This approach significantly reduces computational cost, enabling more complex and rapid optimization of optical devices.

