Optics Communications, Год журнала: 2024, Номер 575, С. 131272 - 131272
Опубликована: Ноя. 10, 2024
Язык: Английский
Nanophotonics, Год журнала: 2024, Номер 13(20), С. 3765 - 3792
Опубликована: Июнь 6, 2024
Abstract Recent advancements in inverse design approaches, exemplified by their large-scale optimization of all geometrical degrees freedom, have provided a significant paradigm shift photonic design. However, these innovative strategies still require full-wave Maxwell solutions to compute the gradients concerning desired figure merit, imposing, prohibitive computational demands on conventional computing platforms. This review analyzes challenges associated with structures. It delves into adequacy various electromagnetic solvers for designs, from neural network-based solvers, and discusses suitability limitations. Furthermore, this evaluates research techniques, advantages disadvantages applications, sheds light cutting-edge studies that combine networks applications. Through comprehensive examination, aims provide insights navigating landscape advocate strategic methods, solver selection, integration overcome barriers, thereby guiding future
Язык: Английский
Процитировано
8
Micromachines, Год журнала: 2025, Номер 16(1), С. 98 - 98
Опубликована: Янв. 16, 2025
Electromagnetic devices are a continuous driving force in cutting-edge research and technology, finding applications diverse fields such as optics [...]
Язык: Английский
Процитировано
1
Nanophotonics, Год журнала: 2024, Номер 13(20), С. 3895 - 3914
Опубликована: Июль 1, 2024
Abstract Over the past decade, significant advancements in high-resolution imaging technology have been driven by miniaturization of pixels within image sensors. However, this reduction pixel size to submicrometer dimensions has led decreased efficiency color filters and microlens arrays. The development routers that operate at visible wavelengths presents a promising avenue for further miniaturization. Despite this, existing often encounter severe interpixel crosstalk, around 70 %, due reliance on periodic boundary conditions. Here, we present crosstalk-minimized achieve an unprecedented in-pixel optical 87.2 % significantly reduce crosstalk 2.6 %. are designed through adjoint optimization, incorporating customized incident waves minimize crosstalks. Our findings suggest our router design surpasses routing techniques terms efficiency, representing crucial step forward push toward commercializing next generation solid-state
Язык: Английский
Процитировано
5
Technologies, Год журнала: 2024, Номер 12(9), С. 143 - 143
Опубликована: Авг. 28, 2024
Artificial intelligence (AI) significantly enhances the development of Meta-Optics (MOs), which encompasses advanced optical components like metalenses and metasurfaces designed to manipulate light at nanoscale. The intricate design these requires sophisticated modeling optimization achieve precise control over behavior, tasks for AI is exceptionally well-suited. Machine learning (ML) algorithms can analyze extensive datasets simulate numerous variations identify most effective configurations, drastically speeding up process. also enables adaptive MOs that dynamically adjust changing imaging conditions, improving performance in real-time. This results superior image quality, higher resolution, new functionalities across various applications, including microscopy, medical diagnostics, consumer electronics. combination with thus epitomizes a transformative advancement, pushing boundaries what possible technology. In this review, we explored latest advancements AI-powered applications.
Язык: Английский
Процитировано
5
Nanomaterials, Год журнала: 2025, Номер 15(3), С. 178 - 178
Опубликована: Янв. 23, 2025
Inherent material loss is a pivotal challenge that impedes the development of metamaterial properties, particularly in context 3D metamaterials operating at visible wavelengths. Traditional approaches, such as design periodic model structures and selection noble metals, have encountered plateau. Coupled with complexities constructing achieving precise alignment, these factors made creation low-loss spectrum formidable task. In this work, we harness concept deep learning, combined principle weak interactions metamaterials, to re-examine optimize previously validated disordered discrete metamaterials. The paper presents an innovative strategy for optimization structural unit distributions, proving their robustness ability perform intended functions within critical distribution ratio. This refined offers theoretical framework single-frequency broadband systems. It paves way optical facile fabrication high-performance photonic devices.
Язык: Английский
Процитировано
0
npj Computational Materials, Год журнала: 2025, Номер 11(1)
Опубликована: Фев. 15, 2025
We demonstrate a multi-fidelity (MF) machine learning ensemble framework for the inverse design of photonic surfaces, trained on dataset 11,759 samples that we fabricate using high throughput femtosecond laser processing. The MF combines an initial low fidelity model generating solutions, with refines these solutions through local optimization. combined can generate multiple disparate sets laser-processing parameters each produce same target input spectral emissivity accuracy (root mean squared errors < 2%). SHapley Additive exPlanations analysis shows transparent interpretability complex relationship between and emissivity. Finally, is experimentally validated by fabricating evaluating surface designs it generates improved efficiency energy harvesting devices. Our approach provides powerful tool advancing surfaces in applications.
Язык: Английский
Процитировано
0
Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 138, С. 109388 - 109388
Опубликована: Окт. 4, 2024
Язык: Английский
Процитировано
2
iScience, Год журнала: 2024, Номер 28(1), С. 111545 - 111545
Опубликована: Дек. 6, 2024
Язык: Английский
Процитировано
1
Optics Communications, Год журнала: 2024, Номер 575, С. 131272 - 131272
Опубликована: Ноя. 10, 2024
Язык: Английский
Процитировано
0