基于相位收敛驱动的通用化超构器件伴随优化方法OA

We propose a generalized adjoint-optimization method enabled by a phase-convergence mechan-ism.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 structur-al 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 func-tion.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 in-verse-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° deflection),re-spectively.For arbitrary wavefront shaping,a bifocal lens showed a focusing efficiency of 67.2%and a holo-graphic 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.