Experimental Demonstration of Genetic Algorithm Based Metalens Design for Generating Side‐Lobe‐Suppressed, Large Depth‐of‐Focus Light Sheet

Fan, Yulong; Chen, Mu Ku; Qiu, Meng; Lin, Renjie; Xu, Yunkun; Wen, Jing; Tang, Tianchen; Liu, Xiaoyuan; Jin, Wei; Tsai, Din Ping; Lei, Dangyuan

doi:10.1002/lpor.202100425

Cited by 28 publications

(10 citation statements)

References 69 publications

(56 reference statements)

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“…Genetic algorithm (GA, sometimes named evolutionary algorithm) is one of the most frequently used evolutionary computation strategies. Additionally, GA has greatly promoted the inverse design of metasurfaces in recent years, such as a metalens, a terahertz quarter-wave plate, programmable metamaterials, and subwavelength lattice optics …”

Section: Ai For Meta-opticsmentioning

confidence: 99%

“…Genetic algorithm (GA, sometimes named evolutionary algorithm) 162 is one of the most frequently used evolutionary computation strategies. Additionally, GA has greatly promoted the inverse design of metasurfaces in recent years, such as a metalens, 163 a terahertz quarter-wave plate, 164 programmable metamaterials, 165 and subwavelength lattice optics. 166 Figure 17a demonstrates a general working flow of GA. GA usually takes a set of randomly generated solutions or artificially set initial points as the first generation of the population.…”

Section: Gradient-free Evolutionary Computationmentioning

confidence: 99%

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Artificial Intelligence in Meta-optics

et al. 2022

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Recent years have witnessed promising artificial intelligence (AI) applications in many disciplines, including optics, engineering, medicine, economics, and education. In particular, the synergy of AI and meta-optics has greatly benefited both fields. Meta-optics are advanced flat optics with novel functions and light-manipulation abilities. The optical properties can be engineered with a unique design to meet various optical demands. This review offers comprehensive coverage of meta-optics and artificial intelligence in synergy. After providing an overview of AI and meta-optics, we categorize and discuss the recent developments integrated by these two topics, namely AI for meta-optics and meta-optics for AI. The former describes how to apply AI to the research of meta-optics for design, simulation, optical information analysis, and application. The latter reports the development of the optical Al system and computation via meta-optics. This review will also provide an in-depth discussion of the challenges of this interdisciplinary field and indicate future directions. We expect that this review will inspire researchers in these fields and benefit the next generation of intelligent optical device design.

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Section: Ai For Meta-opticsmentioning

confidence: 99%

Section: Gradient-free Evolutionary Computationmentioning

confidence: 99%

Artificial Intelligence in Meta-optics

et al. 2022

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“…2a, which includes three main steps. The first is Search, which can yield the optimal height distribution by combining genetic algorithm (GA) and Hook-Jeeves algorithm (HJA) [48][49][50] to avoid local minima and speed up the convergence as well. The second is Smooth, which can remove the high aspectratio structures in the lens.…”

Section: Design Of Amdlsmentioning

confidence: 99%

Large-scale achromatic flat lens by light frequency-domain coherence optimization

Xiao

Zhao

et al. 2022

Light Sci Appl

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Flat lenses, including metalens and diffractive lens, have attracted increasing attention due to their ability to miniaturize the imaging devices. However, realizing a large scale achromatic flat lens with high performance still remains a big challenge. Here, we developed a new framework in designing achromatic multi-level diffractive lenses by light coherence optimization, which enables the implementation of large-scale flat lenses under non-ideal conditions. As results, a series achromatic polymer lenses with diameter from 1 to 10 mm are successfully designed and fabricated. The subsequent optical characterizations substantially validate our theoretical framework and show relatively good performance of the centimeter-scale achromatic multi-level diffractive lenses with a super broad bandwidth in optical wavelengths (400–1100 nm). After comparing with conventional refractive lens, this achromatic lens shows significant advantages in white-light imaging performance, implying a new strategy in developing practical planar optical devices.

show abstract

“…2a, which includes three main steps. The first is Search, which can yield the optimal height distribution by combining genetic algorithm (GA) and Hook-Jeeves algorithm (HJA) [46][47][48] to avoid local minima and speed up the convergence as well. The second is Smooth, which can remove the high aspect-ratio structures in the lens.…”

Section: Design Of Amdlsmentioning

confidence: 99%

Large-scale achromatic flat lens by light coherence optimization

Xiao

Zhao

et al. 2022

Preprint

View full text Add to dashboard Cite

Flat lenses, including metalens and diffractive lens, have attracted increasing attention due to their ability to miniaturize the imaging devices. However, realizing a large scale achromatic flat lens with high performance still remains a big challenge. Here, we developed a new framework in designing achromatic multi-level diffractive lenses by light coherence optimization, which enables the implementation of large-scale flat lenses under non-ideal conditions. As results, a series achromatic polymer lenses with diameter from 1 to 10 mm are successfully designed and fabricated. The subsequent optical characterizations substantially validate our theoretical framework and show relatively good performance of the centimeter-scale achromatic multi-level diffractive lenses with a super broad bandwidth in optical wavelengths (400-1100 nm). After comparing with conventional refractive lens, this achromatic lens shows significant advantages in white-light imaging performance, implying a new strategy in developing practical planar optical devices.

show abstract

Experimental Demonstration of Genetic Algorithm Based Metalens Design for Generating Side‐Lobe‐Suppressed, Large Depth‐of‐Focus Light Sheet

Cited by 28 publications

References 69 publications

Artificial Intelligence in Meta-optics

Artificial Intelligence in Meta-optics

Large-scale achromatic flat lens by light frequency-domain coherence optimization

Large-scale achromatic flat lens by light coherence optimization

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