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Auteurs principaux: Jin, Chenhao, Xie, Hehu
Format: Preprint
Publié: 2025
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Accès en ligne:https://arxiv.org/abs/2511.17107
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author Jin, Chenhao
Xie, Hehu
author_facet Jin, Chenhao
Xie, Hehu
contents This paper develops a robust solver for the Maxwell eigenproblem in 3D photonic crystals with anisotropic media. The solver employs the kernel compensation technique under the framework of Yee's scheme to eliminate null space and enable matrix-free, GPU-accelerated operations via 3D discrete Fourier transform. Furthermore, we propose a novel discretization for permittivity tensor containing off-diagonal entries and prove that the resulting matrix is Hermitian positive definite, which ensures the correctness of the kernel compensation technique. Numerical experiments on several benchmark examples are demonstrated to validate the robustness and accuracy of our scheme.
format Preprint
id arxiv_https___arxiv_org_abs_2511_17107
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Robust GPU-Accelerated Kernel Compensation Solver with Novel Discretization for Photonic Crystals in Anisotropic Media
Jin, Chenhao
Xie, Hehu
Numerical Analysis
This paper develops a robust solver for the Maxwell eigenproblem in 3D photonic crystals with anisotropic media. The solver employs the kernel compensation technique under the framework of Yee's scheme to eliminate null space and enable matrix-free, GPU-accelerated operations via 3D discrete Fourier transform. Furthermore, we propose a novel discretization for permittivity tensor containing off-diagonal entries and prove that the resulting matrix is Hermitian positive definite, which ensures the correctness of the kernel compensation technique. Numerical experiments on several benchmark examples are demonstrated to validate the robustness and accuracy of our scheme.
title A Robust GPU-Accelerated Kernel Compensation Solver with Novel Discretization for Photonic Crystals in Anisotropic Media
topic Numerical Analysis
url https://arxiv.org/abs/2511.17107