Mid-Infrared Silicon Nitride Metalens: Achieving High Achromaticity and Wideband Performance Trough Inverse Design Techniques

Research Square (Research Square), Год журнала: 2024, Номер unknown

Опубликована: Март 28, 2024

Abstract Inverse design with topology optimization considers a promising methodology for discovering new optimized photonic structure that enables to break the limitations of forward or traditional especially meta-structure. This work presents high efficiency mid infra-red imaging photonics element along wavelengths band starts from 2 µm 5 based on silicon nitride material structures. The first two designs are broadband focusing and reflective meta-lens under very numerical aperture condition (NA = 0.9). modeled by inverse problem Kreisselmeier-Steinhauser (k-s) aggregation objective function, while final is depended novel double function can target multi focal points wavelength producing achromatic multi-focal

Язык: Английский

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Computation cost reduction in 3D shape optimization of nanophotonic components

Journal of Optics, Год журнала: 2024, Номер 26(5), С. 055702 - 055702

Опубликована: Апрель 4, 2024

Abstract Inverse design methodologies effectively optimize many parameters of a photonic device with respect to primary objective, uncovering locally optimal designs in typically non-convex parameter space. Often, variety secondary objectives (performance metrics) also need be considered before fabrication takes place. Hence, large collection optimized is useful, as their performance on often varies. For certain classes components such shape-optimized devices, the most efficient optimization approach begin 2D from random initialization and then follow up 3D re-optimization. Nevertheless, latter stage substantially time- resource-intensive. Thus, obtaining desired through repeated optimizations computational challenge. To address this issue, machine learning-based regression model proposed reduce computation cost involved stage. The correlates structural based small dataset. Using predicted initial condition for optimization, same optima are reached faster. effectiveness demonstrated shape optimization-based inverse TE 0 -TE 1 mode converters, an important component mode-division multiplexing applications. final identical both approaches, but leveraging offers 35% reduction load step. provides more effective means sampling larger numbers designs.

Язык: Английский

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A review of emerging trends in photonic deep learning accelerators

Frontiers in Physics, Год журнала: 2024, Номер 12

Опубликована: Июль 15, 2024

Deep learning has revolutionized many sectors of industry and daily life, but as application scale increases, performing training inference with large models on massive datasets is increasingly unsustainable existing hardware. Highly parallelized hardware like Graphics Processing Units (GPUs) are now widely used to improve speed over conventional Central (CPUs). However, Complementary Metal-oxide Semiconductor (CMOS) devices suffer from fundamental limitations relying metallic interconnects which impose inherent constraints bandwidth, latency, energy efficiency. Indeed, by 2026, the projected global electricity consumption data centers fueled CMOS chips expected increase an amount equivalent annual usage additional European country. Silicon Photonics (SiPh) emerging a promising energy-efficient CMOS-compatible alternative electronic deep accelerators, using light compute well communicate. In this review, we examine prospects photonic computing solution for acceleration in applications. We present overview landscape, then focus detail SiPh integrated circuit (PIC) accelerators designed different neural network applications learning. categorize based their use cases operating principles assess relative strengths, open challenges, identify new directions further research.

Язык: Английский

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Adjoint-Assisted Shape Optimization of Microlenses for CMOS Image Sensors

Sensors, Год журнала: 2024, Номер 24(23), С. 7693 - 7693

Опубликована: Ноя. 30, 2024

Recently, there have been significant developments in the designs of CMOS image sensors to achieve high-resolution sensing capabilities. One fundamental factors determining sensor's ability capture images is its efficiency focusing visible light onto photosensitive region submicron scale. In most imaging technologies, this typically achieved through microlenses. Light collection under diverse conditions can be significantly improved efficient design While optimization microlenses appears imperative, achieving for high-density pixels various remains a challenge. Therefore, systematic approach required accelerate development with enhanced optical performance. paper, we present an optimize shape adjoint sensitivity analysis (ASA). A novel figure merit (FOM) developed and incorporated into process enhance collection. The gradient FOM computed iteratively using two field simulations only. functionality robustness framework are thoroughly evaluated. Furthermore, performance optimized compared that conventional adjoint-assisted presented here further used develop devices perform manipulation such as concentrating, bending, or dispersing compact systems.

Язык: Английский

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