Reduced Order Modeling for Parameterized Electromagnetic Simulation Based on Tensor Decomposition-Reference-Cited by-同舟云学术

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Reduced Order Modeling for Parameterized Electromagnetic Simulation Based on Tensor Decomposition

Published:2023 Issue: Volume:8 Page:296-305
ISSN:2379-8815
Container-title:IEEE Journal on Multiscale and Multiphysics Computational Techniques
language:
Short-container-title:IEEE J. Multiscale Multiphys. Comput. Tech.

Author:

He Xiao-Feng¹^ORCID,Li Liang¹^ORCID,Lanteri Stéphane²^ORCID,Li Kun³^ORCID

Affiliation:

1. School of Mathematical Sciences, University of Electronic Science and Technology of China, Chengdu, China

2. Inria ATLANTIS project-team, Sophia Antipolis, France

3. School of Mathematics, Southwestern University of Finance and Economics, Chengdu, China

Funder

National Natural Science Foundation of China

Fundamental Research Funds for Central Universities

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Management of Technology and Innovation

Link

http://xplorestaging.ieee.org/ielx7/7274859/10003074/10209155.pdf?arnumber=10209155

Reference34 articles.

1. Modeling of SOI four-gate transistor (G4FET) using multidimensional spline interpolation method

2. Foundations of the PARAFAC procedure: Models and conditions for an ‘explanatory’ multimodal factor analysis;harshman,1970

3. Non-intrusive reduced order modeling of parametric electromagnetic scattering problems through Gaussian process regression;zhao,2021

4. Non-intrusive reduced order modeling of nonlinear problems using neural networks

5. Certified Reduced Basis Methods for Parametrized Partial Differential Equations

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