檢視 $MaterialParameter 的原始碼

=='''Format'''==
 $MaterialParameter
  ''type<sub>dis</sub>       N         ε<sub>r,∞</sub>        μ<sub>r</sub>          σ<sub>E</sub>          σ<sub>H</sub>''
  ''par<sub>1</sub>(1)    par<sub>1</sub>(2)    par<sub>1</sub>(3)    par<sub>1</sub>(4)''
  ''par<sub>2</sub>(1)    par<sub>2</sub>(2)    par<sub>2</sub>(3)    par<sub>2</sub>(4)''
    .          .          .          .
    .          .          .          .
    .          .          .          .
  ''par<sub>p</sub>(1)    par<sub>p</sub>(2)    par<sub>p</sub>(3)    par<sub>p</sub>(4)''
    .          .          .          .
    .          .          .          .
    .          .          .          .
  ''par<sub>N</sub>(1)    par<sub>N</sub>(2)    par<sub>N</sub>(3)    par<sub>N</sub>(4)''                <font color=green>// where ''type<sub>dis</sub>'' and ''N'' are integers, but the others are floating points.</font>

<font size=3>
Refer to Chap. 9 at p.353 - p.368.<br>
''type<sub>dis</sub>'' means the type of dispersive model. ''N'' means the number of poles in this material. ''ε<sub>r,∞</sub>'' is the relative permittivity at infinite frequency, ''μ<sub>r</sub>'' is relative permeability, ''σ<sub>E</sub>'' is electric conductivity, and ''σ<sub>H</sub>'' is equivalent magnetic loss, respectively.
</font>

{| class=wikitable style="text-align: center
|+
|-
|| Models         || ''type<sub>dis</sub>'' || par<sub>p</sub>(1) || par<sub>p</sub>(2)  || par<sub>p</sub>(3) || par<sub>p</sub>(4)
|-
|| non-dispersive || 0                      || 0                  || 0                   || 0                  || 0    
|-
|| Debye          || 1                      || ε<sub>s,p</sub>    || ε<sub>∞,p</sub>     || τ<sub>p</sub>      || 0  
|-
|| Lorentz        || 2                      || ε<sub>s,p</sub>    || ε<sub>∞,p</sub>     || ω<sub>p</sub>      || δ<sub>p</sub>  
|-
|| Drude          || 3                      || ω<sub>i</sub>       || γ<sub>p</sub>      || 0                  || 0   
|}

<math>\varepsilon(\omega) = \varepsilon_\infty + \sum_{p=1}^P \chi_p(\omega)</math><br>

<font size=4>Debye model:   </font><math>\chi_p(\omega) = \frac{(\varepsilon_{s,p}-\varepsilon_{\infty,p})}{1+j\omega\tau_p}</math><br><br>
<font size=4>Lorentz model: </font><math>\chi_p(\omega) = \frac{(\varepsilon_{s,p}-\varepsilon_{\infty,p})\omega_p^2}{\omega_p^2+2j\omega\delta_p-\omega^2}</math><br><br>
<font size=4>Drude model:   </font><math>\chi_p(\omega) = -\frac{\omega_p^2}{\omega^2-j\omega\gamma_p}</math><br><br>

=='''Example'''==
 $NumberofObject
  2
 $MaterialParameter
  2 3 10 1 0 0
  10 7 1.2566e15 1e14
  10 7 2.5133e15 2e14
  10 7 3.7699e15 3e14

== '''Related commands''' ==
: Input file 1: [[$NumberofObject]], [[$MaterialStructure]]
: Input file 2: [[$Backgroundparameter]]