We derive an adjoint shape optimization algorithm with a compound figure of merit and demonstrate its use with both gradient descent and Levenberg-Marquart updates for the case of SiO-buried SOI coplanar waveguide crossings. We show that a smoothing parameter, basis function width, can be used to eliminate small feature sizes with a small cost to device performance. The Levenberg-Marquardt update produces devices with larger bandwidth. A waveguide crossing with simulated performance values of > 60 dB cross power extinction ratio and > -0.08 dB through power over the 1500-1600 nm band is presented. A fabricated device is measured to have a maximum of -0.06 dB through power and a 50 dB cross power extinction ratio.
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http://dx.doi.org/10.1364/OE.27.024765 | DOI Listing |
Sensors (Basel)
November 2024
Department of Electrical & Computer Engineering, McMaster University, Hamilton, ON L8S 4K1, Canada.
Recently, there have been significant developments in the designs of CMOS image sensors to achieve high-resolution sensing capabilities. One of the fundamental factors determining the sensor's ability to capture high-resolution images is its efficiency in focusing the visible light onto the photosensitive region of the submicron scale. In most CMOS imaging technologies, this is typically achieved through microlenses.
View Article and Find Full Text PDFNeural Netw
November 2024
Université de Lorraine, CNRS, Institut Elie Cartan de Lorraine, Inria, BP 7023954506 Vandœuvre-lès-Nancy Cedex, France; Institut Universitaire de France (IUF), France. Electronic address:
In this work, we explore the numerical solution of geometric shape optimization problems using neural network-based approaches. This involves minimizing a numerical criterion that includes solving a partial differential equation with respect to a domain, often under geometric constraints like a constant volume. We successfully develop a proof of concept using a flexible and parallelizable methodology to tackle these problems.
View Article and Find Full Text PDFNanophotonics
September 2024
Ningbo University, Ningbo, China.
Mode converters (MCs) play an essential role in mode-division multiplexing (MDM) systems. Numerous schemes have been developed on the silicon-on-insulator (SOI) platform, yet most of them focus solely on the conversion of fundamental mode to one or two specific higher-order modes. In this study, we introduce a hybrid shape optimization (HSO) method that combines particle swarm optimization (PSO) with adjoint methods to optimize the shape of the S-bend waveguide, facilitating the design of arbitrary-order MCs featuring compactness and high performance.
View Article and Find Full Text PDFWe present a general strategy for the inverse design of metasurfaces composed of elementary shapes. We use it to design a structure that collects and collimates light from nitrogen-vacancy centers in diamond. Such metasurfaces constitute scalable optical interfaces for solid-state qubits, enabling efficient photon coupling into optical fibers and eliminating free-space collection optics.
View Article and Find Full Text PDFIn this paper, a novel thermo-optic metagrating based on phase-change material (vanadium dioxide, VO) is proposed for broadband, polarization-independent, and non-dispersive transmission modulation at the telecommunication wavelengths. In the pursuit of concurrent attainment of multiple performance objectives, nanostructured VO metagratings are optimized numerically using inverse design algorithms. Notably, adjoint optimization pertaining to both phases of VO facilitates better modulation capabilities within free-form shaped VO metagratings compared to shape-optimized methods with predetermined designs.
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