Machine Learning to Predict Quasi TE₀₁₁ Mode Resonances in Double-Stacked Dielectric Cavities-Reference-Cited by-同舟云学术

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Machine Learning to Predict Quasi TE₀₁₁ Mode Resonances in Double-Stacked Dielectric Cavities

Published:2022-04 Issue:4 Volume:70 Page:2135-2146
ISSN:0018-9480
Container-title:IEEE Transactions on Microwave Theory and Techniques
language:
Short-container-title:IEEE Trans. Microwave Theory Techn.

Author:

Lewis Charles¹^ORCID,Bryan Jordan²,Schwartz Nathan³,Hale Jonathan⁴,Fanning Kane³^ORCID,Colton John S.³^ORCID

Affiliation:

1. Department of Physics, University of Washington, Seattle, WA, USA

2. Department of Physics, Illinois State University, Normal, IL, USA

3. Department of Physics and Astronomy, Brigham Young University, Provo, UT, USA

4. Department of Mathematics, Brigham Young University, Provo, UT, USA

Funder

Brigham Young University (BYU) College of Physical and Mathematical Sciences

Department of Physics and Astronomy

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Condensed Matter Physics,Radiation

Link

http://xplorestaging.ieee.org/ielx7/22/9749140/09709711.pdf?arnumber=9709711

Reference69 articles.

1. Natural resonant frequencies of microwave dielectric resonators (correspondence);yee;IEEE Trans Microw Theory Techn,1965

2. Magnetic Field Dependence of Electron Spin Polarization Generated through Radical−Triplet Interactions

3. An advanced EPR stopped-flow apparatus based on a dielectric ring resonator

4. Oscillator applications of double dielectric resonator

5. Design of a ceramic dielectric resonator for NMR microimaging at 14.1 tesla

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2. Multiobjective System-by-Design for mm-Wave Automotive Radar Antennas;IEEE Transactions on Antennas and Propagation;2023-04

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