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A generalized adjoint optimization method for metasurfaces enabled by phase-convergence
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DOI：10.37188/co.2025-0161.png)
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Abstract
En 中文
We propose a generalized adjoint-optimization method enabled by a phase-convergence mechanism. Central to this method is a gradient-to-structure mapping model that translates complex-valued adjoint gradients into physically realizable structural updates, establishing a stable iterative relation between structural perturbations and the resulting phase response. This mechanism ensures monotonic phase convergence at the device plane, enabling meta-element-level control of arbitrary phase profiles. Within this formulation, the adjoint simulation employs a single electric dipole excitation, independent of the desired metasurface function. Functional diversity is achieved solely by adjusting the update mapping rather than redefining the ad joint source or modifying the simulation model. This establishes a unified and computationally efficient inverse-design framework capable of handling multiple types of wavefront-shaping functionalities. As proof of concept, numerical validations are performed on diverse metadevices. Specifically, a 2D nanopillar metalens and a linear phase gradient metagrating achieved efficiencies of 83.9% and 72.4% (at 30 degrees deflection), respectively. For arbitrary wavefront shaping, a bifocal lens showed a focusing efficiency of 67.2% and a holographic metasurface generated a hollow triangle pattern with 60.3% energy efficiency. Our results confirm that the proposed method features simplified source construction, high computational efficiency, and strong adaptability, providing a unified and viable framework for the engineering of metasurfaces in imaging, wave-front engineering, and ultraviolet detection.
Keywords:
metasurfaces
adjoint optimization
phase convergence control
single electric dipole adjoint source
Journal
C
IF:
1.1
Papers:
85
Citations:
0