Article
Nanoscience & Nanotechnology
Emmanuel Garza, Constantine Sideris
Summary: Inverse design has enhanced the design process for nanophotonic systems by reducing design time and achieving high-performance, nonintuitive structures. The existing structure optimization techniques often require significant computational resources and have slow convergence, while the boundary-based inverse design approach achieves high accuracy even at coarse mesh discretizations.
Article
Automation & Control Systems
Wonsuk Kim, Soojeong Kim, Minhyeok Lee, Junhee Seok
Summary: Efficiently designing structures with desired properties is a challenging task in engineering and scientific applications. Traditional methods involve experts designing structures and performing simulations to evaluate their properties. Inverse design framework allows for directly constructing structures with desired properties. This paper introduces a model based on a controllable generative adversarial network (ControlGAN) for generating nanophotonic devices with user-defined properties, which outperforms other GAN-based models in producing structures with maximum transmittance at specific wavelengths. The proposed inverse design model can accelerate device designs in the field of nanophotonics and other nanostructures.
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
(2022)
Article
Engineering, Multidisciplinary
Maria De Lauretis, Elena Haller, Francesca Di Murro, Daniele Romano, Giulio Antonini, Jonas Ekman, Ivana Kovacevic-Badstubner, Ulrike Grossner
Summary: This paper proposes a numerical approach to handle the singularity and reduce the computational complexity of one of the two quadruple integrals used in the S-PEEC method. The accuracy and computational time have been tested for representative parallel and orthogonal meshes.
ENGINEERING ANALYSIS WITH BOUNDARY ELEMENTS
(2022)
Article
Computer Science, Interdisciplinary Applications
Riccardo Torchio, Alessandro Arduino, Luca Zilberti, Oriano Bottauscio
Summary: This article presents a numerical procedure for analyzing the interaction between electromagnetic fields and biological tissues. The proposed method reduces the computational burden by voxelizing the human body and taking advantage of regular discretization. It also utilizes iterative preconditioned solvers and model order reduction techniques. The efficiency of the method is demonstrated through practical model problems.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Nanoscience & Nanotechnology
Zin Lin, Charles Roques-Carmes, Raphael Pestourie, Marin Soljacic, Arka Majumdar, Steven G. Johnson
Summary: By codesigning a metaoptical front end with an image-processing back end, we are able to achieve superior noise sensitivity and compactness compared to optics-only or computation-only approaches. This method is demonstrated through examples of subwavelength imaging and reconstruction of multiple light sources' full polarization coherence matrices. Incorporating full wave physics in the design process is crucial for detecting discarded spectral and polarization information.
Article
Optics
Haida Liu, Qianqian Wang, Zhengxin Xiang, Geer Teng, Yu Zhao, Ziyang Liu, Kai Wei, Fengtong Dai, Linji Lv, Kuo Zhao, Chenyi Yang
Summary: In this study, a self-adjusting inverse design method based on the adjoint variable method is proposed to improve the performance of nanophotonic devices.
Article
Engineering, Electrical & Electronic
Keisuke Kojima, Mohammad H. Tahersima, Toshiaki Koike-Akino, Devesh K. Jha, Yingheng Tang, Ye Wang, Kieran Parsons
Summary: This article explores three models for designing nanophonic power splitters using deep neural networks, including a forward regression model, an inverse regression model, and a generative network. These models demonstrate how deep learning can be applied to optimize the design of nanophotonic devices.
JOURNAL OF LIGHTWAVE TECHNOLOGY
(2021)
Article
Chemistry, Analytical
Zhenglin Chen, Qiaozhen Zhang, Sulei Fu, Xiaoyu Wang, Xiaojun Qiu, Haodong Wu
Summary: The paper presents a hybrid full-wave analysis approach for SAW devices, utilizing PDE models and GPU technology to calculate acoustic-electric characteristics, ensuring accuracy and efficiency. This method is versatile, efficient, and capable of handling various modeling scenarios with ease.
Article
Multidisciplinary Sciences
Christos Mystilidis, Xuezhi Zheng, Angelos Xomalis, Guy A. E. Vandenbosch
Summary: This study presents a novel implementation of the boundary element method for modeling multiple scattering of plasmonic nanowires. The model considers both local and nonlocal materials and the nonlocal hydrodynamic model is used to capture nonclassical effects of free electron motion in metals. The challenging aspect of the modeling lies in the different interface conditions required at the boundaries of various media. The proposed algorithm is capable of handling arbitrary geometries and material compositions, making it a comprehensive numerical tool for exploring nonlocal nanowires. The accuracy and agreement of the results obtained using the boundary element method are verified both quantitatively and qualitatively, demonstrating good performance in both near- and far-field regimes.
ADVANCED THEORY AND SIMULATIONS
(2023)
Article
Nanoscience & Nanotechnology
Dusan Gostimirovic, Yuri Grinberg, Dan-Xia Xu, Odile Liboiron-Ladouceur
Summary: Next-generation integrated nanophotonic devices achieve high performance and extreme miniaturization through advanced optimization techniques. However, small features generated by these techniques are not reliably fabricated, leading to optical performance degradation. In this work, a deep machine learning model is introduced to automatically correct photonic device design layouts, improving optical performance without modifying the nanofabrication process or requiring proprietary process specifications.
Article
Engineering, Electrical & Electronic
Benjamin G. Ward
Summary: This article introduces a new method for electromagnetic analysis of heterogeneous dielectric bodies with embedded PEC structures. The method provides more accurate results and high computational efficiency.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Article
Mathematics, Applied
M. Vynnycky, A. S. Nick, M. Assuncao
Summary: This work revisits a recent model for longitudinal electromagnetic stirring in the continuous casting process. By manipulating the governing equations, a rapid computation method is proposed, which requires significantly less computational time compared to traditional 3D methods. Numerical solutions and finite-element software are used to simulate the process and calculate the time-averaged Lorentz force components.
JOURNAL OF COMPUTATIONAL AND APPLIED MATHEMATICS
(2022)
Article
Engineering, Electrical & Electronic
Moein Nazari, Rouzbeh Moini, Simon Fortin, Farid P. Dawalibi
Summary: Accurate solutions of electromagnetic scattering problems involving materials with large permittivity contrasts are explored using different commonly used combined surface integral equations (SIEs). The accuracy of the results and potential numerical instabilities are investigated in detail for different frequencies and permittivity values. The study specifically focuses on the analysis of a dielectric resonator (DR) with cubic geometry, which requires higher contrast materials to achieve smaller DR type antennas. The accuracy of the combined surface integral equations in determining the natural resonant modes of the DR is examined, emphasizing the need for a proper combination of electric and magnetic fields equations to accurately determine the resonance modes by exploring the radar cross section (RCS) of the DR in free space.
IET MICROWAVES ANTENNAS & PROPAGATION
(2023)
Article
Computer Science, Interdisciplinary Applications
Ho-Chun Lin, Zeyu Wang, Chia Wei Hsu
Summary: Researchers have proposed a new numerical solution method to directly compute the quantities of interest without solving for the full basis set. By augmenting the Maxwell operator with input source profiles and output projection profiles and using partial factorization to generate the entire generalized scattering matrix, significant speedups have been achieved.
NATURE COMPUTATIONAL SCIENCE
(2022)
Article
Computer Science, Interdisciplinary Applications
C. Glosser, E. Lu, T. J. Bertus, C. Piermarocchi, B. Shanker
Summary: The integral-equation-based framework for solving Maxwell-Bloch systems effectively captures collective features of quantum dots, demonstrating convergence and accuracy in analyzing large ensembles of interacting quantum dots.
COMPUTER PHYSICS COMMUNICATIONS
(2021)
Article
Computer Science, Interdisciplinary Applications
Eldar Akhmetgaliyev, Oscar P. Bruno, Nilima Nigam
JOURNAL OF COMPUTATIONAL PHYSICS
(2015)
Article
Engineering, Electrical & Electronic
Oscar P. Bruno, Emmanuel Garza, Carlos Perez-Arancibia
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2017)
Article
Mathematics, Applied
Oscar P. Bruno, Max Cubillos
SIAM JOURNAL ON NUMERICAL ANALYSIS
(2017)
Article
Computer Science, Interdisciplinary Applications
Oscar P. Bruno, Emmanuel Garza
JOURNAL OF COMPUTATIONAL PHYSICS
(2020)
Article
Engineering, Multidisciplinary
Oscar P. Bruno, Liwei Xu, Tao Yin
Summary: New methodologies for solving problems of elastic scattering by open arcs in two dimensions are presented in this article, utilizing weighted versions of classical elastic integral operators, a certain open-arc elastic Calderon relation, spectrally accurate quadrature rules, and the linear algebra solver GMRES. Results of high accuracy are achieved in a small number of iterations for both low and high frequencies, as demonstrated by various numerical examples in the article.
INTERNATIONAL JOURNAL FOR NUMERICAL METHODS IN ENGINEERING
(2021)
Article
Computer Science, Interdisciplinary Applications
Christoph Bauinger, Oscar P. Bruno
Summary: This paper introduces a novel Interpolated Factored Green Function method (IFGF) for accelerated evaluation of integral operators in scattering theory and other fields. The method capitalizes on slow variations in a specific Green function analytic factor to accelerate field evaluation, making it more suitable for efficient parallelization in distributed-memory computer systems compared to other methods.
JOURNAL OF COMPUTATIONAL PHYSICS
(2021)
Article
Engineering, Electrical & Electronic
Jin Hu, Emmanuel Garza, Constantine Sideris
Summary: This article introduces a new method for discretizing and solving integral equation formulations of Maxwell's equations, achieving spectral accuracy for smooth surfaces. The approach is based on a hybrid Nystrom-collocation method using Chebyshev polynomials to expand the unknown current densities over curvilinear quadrilateral surface patches, showing promising results for various geometries.
IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
(2021)
Proceedings Paper
Engineering, Electrical & Electronic
Emmanuel Garza, Jin Hu, Constantine Sideris
Summary: Boundary element methods have been successfully used to solve complex electromagnetic problems, with high-order methods based on curvilinear discretization shown to outperform low-order methods in accuracy and computational efficiency.
2021 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM (ACES)
(2021)
Article
Computer Science, Interdisciplinary Applications
Mauro Fontana, Oscar P. Bruno, Pablo D. Mininni, Pablo Dmitruk
COMPUTER PHYSICS COMMUNICATIONS
(2020)
Article
Mathematics, Applied
Thomas G. Anderson, Oscar P. Bruno, Mark Lyon
SIAM JOURNAL ON SCIENTIFIC COMPUTING
(2020)
Article
Computer Science, Interdisciplinary Applications
Oscar P. Bruno, Agustin G. Fernandez-Lado
JOURNAL OF COMPUTATIONAL PHYSICS
(2020)
Article
Optics
Emmanuel Garza, Servando Lopez-Aguayo, Julio C. Gutierrez-Vega