10-15 July 2022 • Denver, Colorado, USA

IEEE AP-S/URSI 2022

10-15 July 2022 • Denver, Colorado, USA

TH-A3.1A.7

Minimization Formulation for Neural Network Based Solution of Maxwell's Equations in Frequency Domain

Dan Jiao, Min Liu, Zhiqiang Cai, Purdue University, United States

Session:
Finite Element Methods I

Track:
AP-S: Computational & Numerical Techniques

Location:
Capitol Ballroom 1 (HR)

Presentation Time:
Thu, 14 Jul, 10:20 - 10:40 Denver Time (UTC -7)

Session Co-Chairs:
Hakan Bagci, King Abdullah University of Science and Technology and Kristof Cools, Ghent University
Presentation
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Discussion
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Session TH-A3.1A
TH-A3.1A.1: Non-Conforming Direct Domain Decomposition Methods (D3M)
Dimitrios Makris, Marinos Vouvakis, University of Massachusetts Amherst, United States
TH-A3.1A.2: Energy Conserving Finite Elements for the Maxwell System
Kristof Cools, Ghent University, Belgium
TH-A3.1A.3: A Low Cost Implementation of Unconstrained Anisotropic hp-Refinement for CEM
Jeremiah Corrado, Jake Harmon, Branislav Notaros, Colorado State University, United States
TH-A3.1A.4: A Stable Discontinuous Galerkin Time-Domain Method for Simulation of Thin Conductive Layers
Mehmet Burak Ozakin, Liang Chen, Shehab Ahmed, Hakan Bagci, King Abdullah University of Science and Technology, Saudi Arabia
TH-A3.1A.5: A Fast AWE-Augmented Wideband Discontinuous Galerkin Frequency-Domain Method in Solving Electromagnetic Wave Equations
Shimin Liu, Ping Li, Shanghai Jiao Tong univerity, China; Li Jun Jiang, The University of Hong Kong, China
TH-A3.1A.6: An Eigen Decomposition Method for Finite Element Analysis of Electromagnetic Problems
Minyechil Mekonnen, Su Yan, Howard University, United States
TH-A3.1A.7: Minimization Formulation for Neural Network Based Solution of Maxwell's Equations in Frequency Domain
Dan Jiao, Min Liu, Zhiqiang Cai, Purdue University, United States
TH-A3.1A.8: Curl-Conforming Vector Bases for Hybrid Meshes: A New Paradigm for Pyramid Elements
Roberto Graglia, Paolo Petrini, Politecnico di Torino, Italy
TH-A3.1A.9: An Improved Technique for the Incident-Wave Excitation in DGTD for Wideband Electromagnetic Scattering of Lossy Dielectric–Metallic Targets
Danfeng Han, Yanwen Zhao, University of Electronic Science and Technology of China, China
TH-A3.1A.10: Development of Unified GPU Parallel Framework Based on High Order DGM
Shu-Cheng Huang, Li Xu, Bing-Qi Liu, Lan Zhu, Si-Yi Yang, Tao Huang, Bin Li, University of Electronic Science and Technology of China, China
Resources
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