دورية أكاديمية

Momentum-Assisted Adjoint Method for Highly Efficient Inverse Design of Large-Scale Digital Nanophotonic Devices

التفاصيل البيبلوغرافية
العنوان: Momentum-Assisted Adjoint Method for Highly Efficient Inverse Design of Large-Scale Digital Nanophotonic Devices
المؤلفون: Qiaomu Hu, Zishan Zeng, Zinan Xiang, Kaiyuan Wang, Minming Zhang
المصدر: IEEE Photonics Journal, Vol 15, Iss 1, Pp 1-10 (2023)
بيانات النشر: IEEE, 2023.
سنة النشر: 2023
المجموعة: LCC:Applied optics. Photonics
LCC:Optics. Light
مصطلحات موضوعية: Inverse design, silicon photonics, adjoint method, Applied optics. Photonics, TA1501-1820, Optics. Light, QC350-467
الوصف: Gradient-descent-based digitized adjoint method offers a way to realize the high-efficiency inverse design of digital nanophotonic devices with diverse functions. However, the vanishing gradient problem encountered in the design of high-dimension devices may lead to significant inefficiencies, making it difficult to integrate novel functions on a single chip. Here, we propose a highly efficient digitized adjoint method for large-scale inverse design, called adaptive gradient-descent with momentum. It uses the first- and second-order momentum, instead of the gradient, to update the device pattern during adjoint optimization. To demonstrate the efficiency of the proposed method, we design a coarse wavelength division multiplexer and a three-mode power divider with design dimensions of 800 and 1360, respectively, which are approximately 2-4 times that of conventional digital nanophotonic devices. The simulation results show that, compared with the conventional gradient descent method, the momentum-assisted adjoint method has about 4-6 times higher efficiency and obtains better optimization performance, which provides a powerful tool for the inverse design of novel digital nanophotonic devices.
نوع الوثيقة: article
وصف الملف: electronic resource
اللغة: English
تدمد: 1943-0655
Relation: https://ieeexplore.ieee.org/document/10026670/; https://doaj.org/toc/1943-0655
DOI: 10.1109/JPHOT.2023.3240189
URL الوصول: https://doaj.org/article/ac753207b4cc4cd6924a51023357217b
رقم الأكسشن: edsdoj.753207b4cc4cd6924a51023357217b
قاعدة البيانات: Directory of Open Access Journals
الوصف
تدمد:19430655
DOI:10.1109/JPHOT.2023.3240189