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Coplanar Waveguide: Difference between revisions

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[[Category:benchmark]]
[[Category:benchmark]]
[[Category:PDE]]
[[Category:PDE]]
[[Category:parametric 2-5 parameters]]
[[Category:Parametric]]
[[Category:linear]]
[[Category:linear]]
[[Category:time invariant]]
[[Category:affine parameter representation]]
[[Category:affine parameter representation]]
 
[[Category:Stationary]]
 


==Description==
==Description==


A '''coplanar waveguide''' (see Fig. 1) is a microwave semiconductor device, which is governed by [[wikipedia:Maxwell's_equations|Maxwell's equations]].
A '''coplanar waveguide''' (see Fig. 1) is a microwave semiconductor device, which is governed by [[wikipedia:Maxwell's_equations|Maxwell's equations]].
The [[wikipedia:Coplanar_waveguide|coplanar waveguide]] considered with dielectric overlay, i.e. a transmission line shielded within two layers of multilayer board with <math>0.5mm</math> thickness are buried in a substrate with <math>10mm</math> thickness and relative permittivity  
The [[wikipedia:Coplanar_waveguide|coplanar waveguide]] considered with dielectric overlay, i.e. a transmission line shielded within two layers of multilayer board with <math>0.5 \, \text{mm}</math> thickness are buried in a substrate with <math>10 \, \text{mm}</math> thickness and relative permittivity  
<math>\epsilon_r = 4.4 </math> and relative permeability <math>\mu_r = 1 </math>, and low conductivity <math>\sigma = 0.02 S/m </math>.
<math>\epsilon_r = 4.4</math> and relative permeability <math>\mu_r = 1</math>, and low conductivity <math>\sigma = 0.02 \, \text{S/m}</math>.
The low-loss upper layer has low permittivity <math>\epsilon_r = 1.07 </math> and <math>\sigma = 0.01 S/m</math>.
The low-loss upper layer has low permittivity <math>\epsilon_r = 1.07</math> and <math>\sigma = 0.01 \, \text{S/m}</math>.
The whole structure is enlosed in a metallic box of dimension <math>140mm</math> by <math>100mm</math> by <math>50mm</math>.
The whole structure is enclosed in a metallic box of dimension <math>140 \, \text{mm}</math> by <math>100 \, \text{mm}</math> by <math>50 \, \text{mm}</math>.
The discrete port with <math>50Ohm</math> lumped load imposes <math>1 A</math> current as the input to the one side of the strip.
The discrete port with <math>50 \, \Omega</math> lumped load imposes <math>1 \, \text{A}</math> current as the input to the one side of the strip.
The voltage along the discrete port 2 at the end of the other side of coupled lines is integrated as the output.
The voltage along the discrete port 2 at the end of the other side of coupled lines is integrated as the output.


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==Data==
==Data==


Considered parameters are the frequency <math> \omega </math> and the width <math> \nu </math> of the middle stripline.  
Considered parameters are the frequency <math>\omega</math> and the width <math>\nu</math> of the middle stripline.  


The affine form <math> a(u, v; \omega, \nu) = \sum_{q=1}^Q \Theta^q(\omega, \nu) a^q(u, v) </math> can be established using <math> Q = 15 </math> affine terms.
The affine form <math>a(u, v; \omega, \nu) = \sum_{q=1}^Q \Theta^q(\omega, \nu) a^q(u, v)</math> can be established using <math>Q = 15</math> affine terms.


The discretized bilinear form is <math> a(u, v; \omega, \nu) = \sum_{q=1}^Q \Theta^q(\omega, \nu) A^q </math>, with matrices <math> A^q </math>.
The discretized bilinear form is <math>a(u, v; \omega, \nu) = \sum_{q=1}^Q \Theta^q(\omega, \nu) A^q</math>, with matrices <math>A^q</math>.


The matrices corresponding to the bilinear forms <math> a^q( \cdot , \cdot ) </math> as well as the input and output forms and H(curl) inner product matrix have been assembled
The matrices corresponding to the bilinear forms <math>a^q(\cdot, \cdot)</math> as well as the input and output forms and H(curl) inner product matrix have been assembled
using the Finite Element Method, resulting in 7754 degrees of freedom, after removal of boundary conditions. The files are numbered according to their  
using the Finite Element Method, resulting in 7754 degrees of freedom, after removal of boundary conditions. The files are numbered according to their  
appearance in the summation.
appearance in the summation.
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The coefficient functions are given by:
The coefficient functions are given by:


:<math> \Theta^1(\omega, \nu) = 1 </math>
:<math>
 
\begin{align}
:<math> \Theta^2(\omega, \nu) = \omega </math>
  \Theta^1(\omega, \nu) &= 1, \\
 
  \Theta^2(\omega, \nu) &= \omega, \\
:<math> \Theta^3(\omega, \nu) = -\omega^2 </math>
  \Theta^3(\omega, \nu) &= -\omega^2, \\
 
  \Theta^4(\omega, \nu) &= \frac{\nu}{6}, \\
:<math> \Theta^4(\omega, \nu) = \frac{\nu}{6} </math>
  \Theta^5(\omega, \nu) &= \frac{6}{\nu}, \\
 
  \Theta^6(\omega, \nu) &= \frac{6 \omega}{\nu}, \\
:<math> \Theta^5(\omega, \nu) = \frac{6}{\nu} </math>
  \Theta^7(\omega, \nu) &= -\frac{6 \omega^2}{\nu}, \\
 
  \Theta^8(\omega, \nu) &= \frac{\nu \omega}{6}, \\
:<math> \Theta^6(\omega, \nu) = \frac{6 \omega}{\nu} </math>
  \Theta^9(\omega, \nu) &= -\frac{\nu \omega^2}{6}, \\
 
  \Theta^{10}(\omega, \nu) &= \frac{16 - \nu}{10}, \\
:<math> \Theta^7(\omega, \nu) = -\frac{6 \omega^2}{\nu} </math>
  \Theta^{11}(\omega, \nu) &= \frac{10}{16 - \nu}, \\
 
  \Theta^{12}(\omega, \nu) &= \frac{10 \omega}{16 - \nu}, \\
:<math> \Theta^8(\omega, \nu) = \frac{\nu \omega}{6} </math>
  \Theta^{13}(\omega, \nu) &= -\frac{10 \omega^2}{16 - \nu}, \\
 
  \Theta^{14}(\omega, \nu) &= \frac{16 - \nu}{10} \omega, \\
:<math> \Theta^9(\omega, \nu) = -\frac{\nu \omega^2}{6} </math>
  \Theta^{15}(\omega, \nu) &= -\frac{16 - \nu}{10} \omega^2.
 
\end{align}
:<math> \Theta^{10}(\omega, \nu) = \frac{16 - \nu}{10} </math>
</math>
 
:<math> \Theta^{11}(\omega, \nu) = \frac{10}{16 - \nu} </math>
 
:<math> \Theta^{12}(\omega, \nu) = \frac{10 \omega}{16 - \nu} </math>
 
:<math> \Theta^{13}(\omega, \nu) = -\frac{10 \omega^2}{16 - \nu} </math>


:<math> \Theta^{14}(\omega, \nu) = \frac{16 - \nu}{10} \omega </math>
The parameter domain of interest is <math>\omega \in [0.6, 3.0] \cdot 10^9 \, \text{Hz}</math>, where the factor of <math>10^9</math> has already been taken into account  
 
while assembling the matrices, while the geometric variation occurs between <math>\nu \in [2.0, 14.0]</math>.
:<math> \Theta^{15}(\omega, \nu) = -\frac{16 - \nu}{10} \omega^2 </math>
The input functional also has a factor of <math>\omega</math>.
 
The parameter domain of interest is <math>\omega \in [0.6, 3.0] \cdot 10^9 </math> Hz, where the factor of <math>10^9 </math> has already been taken into account  
while assembling the matrices, while the geometric variation occurs between <math> \nu \in [2.0, 14.0]</math>.
The input functional also has a factor of <math> \omega </math>.


There are two output functionals, which is due to the fact that the complex system has been rewritten as a real symmetric one.
There are two output functionals, which is due to the fact that the complex system has been rewritten as a real symmetric one.
In particular the computation of the output
In particular the computation of the output
 
<math>s(u) = \vert l^T u \vert</math> with complex vector <math>u</math> turns into <math>s(u) = \sqrt{(l_1^T u)^2 + (l_2^T u)^2}</math> with real vector <math>u</math>.
<math>s(u) = | l^T * u |</math> with complex vector <math>u</math> turns into <math>s(u) = \sqrt{ (l_1^T * u)^2 + (l_2^T * u)^2 }</math> with real vector <math> u </math>.


==Origin==
==Origin==
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:<math>
:<math>
\begin{array}{rcl}
\begin{align}
\sum_{q=1}^{15} \Theta^q(\omega, \nu) A^q u &=& b \\
  \sum_{q = 1}^{15} \Theta^q(\omega, \nu) A^q u(\omega, \nu) &= b \\
s &=& \sqrt{ (l_1^T * u)^2 + (l_2^T * u)^2 }
  s(\omega, \nu) &= \sqrt{(l_1^T u(\omega, \nu))^2 + (l_2^T u(\omega, \nu))^2}
\end{array}
\end{align}
</math>
</math>


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<math>A^q \in \mathbb{R}^{15504 \times 15504}</math>,  
<math>A^q \in \mathbb{R}^{15504 \times 15504}</math>,  
<math>b \in \mathbb{R}^{15504}</math>,  
<math>b, l_1, l_2 \in \mathbb{R}^{15504}</math>.
<math>l_1 \in \mathbb{R}^{15504}</math>,
<math>l_2 \in \mathbb{R}^{15504}</math>.


==Citation==
==Citation==
To cite this benchmark, use the following references:
To cite this benchmark, use the following references:


Line 111: Line 97:
   title =        {Coplanar Waveguide},
   title =        {Coplanar Waveguide},
   howpublished = {{MORwiki} -- Model Order Reduction Wiki},
   howpublished = {{MORwiki} -- Model Order Reduction Wiki},
   url =          <nowiki>{http://modelreduction.org/index.php/Coplanar_Waveguide}</nowiki>,
   url =          <nowiki>{https://modelreduction.org/morwiki/Coplanar_Waveguide}</nowiki>,
   year =        {2018}
   year =        {2018}
  }
  }

Latest revision as of 05:27, 12 June 2025


Description

A coplanar waveguide (see Fig. 1) is a microwave semiconductor device, which is governed by Maxwell's equations. The coplanar waveguide considered with dielectric overlay, i.e. a transmission line shielded within two layers of multilayer board with 0.5mm thickness are buried in a substrate with 10mm thickness and relative permittivity ϵr=4.4 and relative permeability μr=1, and low conductivity σ=0.02S/m. The low-loss upper layer has low permittivity ϵr=1.07 and σ=0.01S/m. The whole structure is enclosed in a metallic box of dimension 140mm by 100mm by 50mm. The discrete port with 50Ω lumped load imposes 1A current as the input to the one side of the strip. The voltage along the discrete port 2 at the end of the other side of coupled lines is integrated as the output.

Figure 1: Coplanar Waveguide Model[1]

Data

Considered parameters are the frequency ω and the width ν of the middle stripline.

The affine form a(u,v;ω,ν)=q=1QΘq(ω,ν)aq(u,v) can be established using Q=15 affine terms.

The discretized bilinear form is a(u,v;ω,ν)=q=1QΘq(ω,ν)Aq, with matrices Aq.

The matrices corresponding to the bilinear forms aq(,) as well as the input and output forms and H(curl) inner product matrix have been assembled using the Finite Element Method, resulting in 7754 degrees of freedom, after removal of boundary conditions. The files are numbered according to their appearance in the summation.

The coefficient functions are given by:

Θ1(ω,ν)=1,Θ2(ω,ν)=ω,Θ3(ω,ν)=ω2,Θ4(ω,ν)=ν6,Θ5(ω,ν)=6ν,Θ6(ω,ν)=6ων,Θ7(ω,ν)=6ω2ν,Θ8(ω,ν)=νω6,Θ9(ω,ν)=νω26,Θ10(ω,ν)=16ν10,Θ11(ω,ν)=1016ν,Θ12(ω,ν)=10ω16ν,Θ13(ω,ν)=10ω216ν,Θ14(ω,ν)=16ν10ω,Θ15(ω,ν)=16ν10ω2.

The parameter domain of interest is ω[0.6,3.0]109Hz, where the factor of 109 has already been taken into account while assembling the matrices, while the geometric variation occurs between ν[2.0,14.0]. The input functional also has a factor of ω.

There are two output functionals, which is due to the fact that the complex system has been rewritten as a real symmetric one. In particular the computation of the output s(u)=|lTu| with complex vector u turns into s(u)=(l1Tu)2+(l2Tu)2 with real vector u.

Origin

The models have been developed within the MoreSim4Nano project.

Data

The files are numbered according to their appearance in the summation and can be found here: Matrices_cp.tar.gz.

Dimensions

System structure:

q=115Θq(ω,ν)Aqu(ω,ν)=bs(ω,ν)=(l1Tu(ω,ν))2+(l2Tu(ω,ν))2

System dimensions:

Aq15504×15504, b,l1,l215504.

Citation

To cite this benchmark, use the following references:

  • For the benchmark itself and its data:
The MORwiki Community, Coplanar Waveguide. MORwiki - Model Order Reduction Wiki, 2018. http://modelreduction.org/index.php/Coplanar_Waveguide
@MISC{morwiki_waveguide,
  author =       {{The MORwiki Community}},
  title =        {Coplanar Waveguide},
  howpublished = {{MORwiki} -- Model Order Reduction Wiki},
  url =          {https://modelreduction.org/morwiki/Coplanar_Waveguide},
  year =         {2018}
}
  • For the background on the benchmark:
   @ARTICLE{morHesB13,
     author =  {Hess, M.~W. and Benner, P.},
     title =   {Fast Evaluation of Time-Harmonic {M}axwell's Equations Using the Reduced Basis Method},
     journal = {{IEEE} Trans. Microw. Theory Techn.},
     volume =  61,
     number =  6,
     pages =   {2265--2274},
     year =    2013,
     doi =     {10.1109/TMTT.2013.2258167}
   }

References

  1. M.W. Hess, P. Benner, "Fast Evaluation of Time-Harmonic Maxwell's Equations Using the Reduced Basis Method", IEEE Transactions on Microwave Theory and Techniques, 61(6): 2265--2274, 2013.

Contact

Martin Hess