A Comprehensive Review on the Directed Design of Optomechanical Crystal Cavities Using Intelligent Algorithms

• Zhe Yu, Jian Bai, and Qianbo Lu
• received 03/01/2024; accepted 04/29/2024; posted 04/29/2024; Doc. ID 522776
• Abstract: Optomechanical crystal cavities are devices based on optomechanical interactionsto manipulate photons and phonons on periodic subwavelength structures, enabling precisemeasurement of force and displacement. The performance of the target structures varieswhen applied to different applications. Optomechanical crystal cavities now rely on empiricalforward design, which is inefficient. Therefore, a desired shift is toward directed design witha "problem-oriented" strategy. The directed optimization problem’s non-convex nature andextensive parameter space necessitate substantial computational resources, driving the need forintelligent algorithms in sub-wavelength structure design. Intelligent algorithms can surpass theconstraints of traditional methods and discover novel structures that are effective in differentmaterials, topologies, modes, and wavelengths.This paper provides an extensive overview tothe intelligent algorithms for guiding the directed design of optomechanical crystal cavities.It presents a systematic classification of fifteen algorithmics, including but not limited totopology algorithms, particle swarm optimisation algorithms, convolutional neural networks,and generative adversarial networks. The article provides a comprehensive review and thorough28 analysis of the principle, current application state, as well as the advantages and disadvantages of29 each intelligent algorithm. By using these intelligent algorithms, researchers can enhance the30 efficiency and accuracy of optimising optomechanical crystal cavities in a broader design space.