Dr Stefano Giani stefano.giani@durham.ac.uk
Associate Professor
In this paper we propose and analyse a hphp-adaptive discontinuous finite element method for computing electromagnetic modes of propagation supported by waveguide structures comprised of a thin lossy metal film of finite width embedded in an infinite homogeneous dielectric. We propose a goal-oriented or dual weighted residual error estimator based on the solution of a dual problem that we use to drive the adaptive refinement with the aim to compute accurate approximation of the modes. We illustrate in the last section the benefits of the resulting hphp-adaptive method in practice, which consist in fast convergence and accurate estimation of the error. We tested the method computing the vanishing modes for a metallic waveguide of square section.
Giani, S. (2014). A hp-adaptive discontinuous Galerkin method for plasmonic waveguides. Journal of Computational and Applied Mathematics, 270, 12-20. https://doi.org/10.1016/j.cam.2014.03.009
Journal Article Type | Article |
---|---|
Publication Date | Nov 1, 2014 |
Deposit Date | Sep 29, 2014 |
Publicly Available Date | Jun 22, 2015 |
Journal | Journal of Computational and Applied Mathematics |
Print ISSN | 0377-0427 |
Electronic ISSN | 1879-1778 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 270 |
Pages | 12-20 |
DOI | https://doi.org/10.1016/j.cam.2014.03.009 |
Keywords | Discontinuous Galerkin methods, A posteriori error estimation, Adaptivity, Eigenvalue problems. |
Public URL | https://durham-repository.worktribe.com/output/1444934 |
Accepted Journal Article
(371 Kb)
PDF
Copyright Statement
NOTICE: this is the author’s version of a work that was accepted for publication in Journal of Computational and Applied Mathematics. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Journal of Computational and Applied Mathematics, 270, November 2014, 10.1016/j.cam.2014.03.009.
Enhancing lecture capture with deep learning
(2024)
Journal Article
UKACM Proceedings 2024
(2024)
Presentation / Conference Contribution
Modelling Fracture Behaviour in Fibre-Hybrid 3D Woven Composites
(2024)
Presentation / Conference Contribution
Immersed traction boundary conditions in phase field fracture modelling
(2024)
Presentation / Conference Contribution
Recursive autoencoder network for prediction of CAD model parameters from STEP files
(2024)
Presentation / Conference Contribution
About Durham Research Online (DRO)
Administrator e-mail: dro.admin@durham.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search