Fast Frequency-Domain Analysis for Parametric Electromagnetic Models Using Deep Learning-Reference-Cited by-同舟云学术

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Fast Frequency-Domain Analysis for Parametric Electromagnetic Models Using Deep Learning

Published:2023-10-15 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 32nd Conference on Electrical Performance of Electronic Packaging and Systems (EPEPS)
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Author:

Mattucci Elia¹,Feng Lihong²,Benner Peter²,Romano Daniele³,Antonini Giulio³

Affiliation:

1. Direzione Tecnica - Standard Tecnologie,Rete Ferroviaria Italiana S.p.A.,Rome,Italy

2. Max Planck Institute for Dynamics of Complex Technical Systems,Magdeburg,Germany

3. University of L’Aquila,Dipartimento di Ingegneria Industriale e Dell’Informazione e di Economia,L’Aquila,Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10314857/10314859/10314879.pdf?arnumber=10314879

Reference9 articles.

1. Matrix-Free Transfer Function Prediction Using Model Reduction and Machine Learning

2. Parameterized Modeling Incorporating MOR-Based Rational Transfer Functions With Neural Networks for Microwave Components

3. Parametric Modeling Incorporating Joint Polynomial-Transfer Function With Neural Networks for Microwave Filters

4. Interpolatory Methods for Model Reduction

5. A Novel Framework for Parametric Loewner Matrix Interpolation

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