「$adddiffusivedope」：修訂間差異

於 2023年4月25日 (二) 15:15 的修訂

$adddiffusivedope is the command to put diffusive dopant distribution in the device. The doping density decay can be either exponential decay or Gaussian distribution. The command is

$adddiffusivedope
N_region
type  regionID Ndope  activation_energy  x_left  y_bottom  x_right y_top  $α_{x}$   $α_{y}$   
type  regionID Ndope  activation_energy  x_left  y_bottom  x_right y_top  $α_{x}$   $α_{y}$   
...
...
Nth_type ....

type: Can be 1, 11, 111, 2, 12, 112. Please see below
regionID:  The region No to use the diffusive doping
Ndope: Na pr Nd  Posive is for n-type, negative is for p-type
 $a l p h a x$  and  $a l p h a y$  is the diffusion length in x and y direction. The unit is  $μ m$

For type = 1
x_left < x < x_right  y_bottom < y < y_top :   $N_{d, a} = N d o p e$ 
x < x_left    :  $N_{d, a} = N d o p e * e x p (- α_{x} (| x - x_{l e f t} |))$  
x > x_right   :  $N_{d, a} = N d o p e * e x p (- α_{x} (| x - x_{l e f t} |))$  
y < y_bottom  :  $N_{d, a} = N d o p e * e x p (- α_{y} (| y - y_{b o t t o m} |))$  
y > y_top     :  $N_{d, a} = N d o p e * e x p (- α_{y} (| y - y_{t o p} |))$

@@ 第3行： / 第3行： @@
   $adddiffusivedope
   N_region
-  type  regionID doping_density  activation_energy  x_left  bottom  right ytop alphax alphay
+  type  regionID Ndope  activation_energy  x_left  y_bottom  x_right y_top <math>\alpha_x</math> <math>\alpha_y</math>
-  type  regionID doping_density  activation_energy  x_left  bottom  right ytop alphax alphay
+  type  regionID Ndope  activation_energy  x_left  y_bottom  x_right y_top <math>\alpha_x</math> <math>\alpha_y</math>
   ...
   ...
@@ 第11行： / 第11行： @@
   type: Can be 1, 11, 111, 2, 12, 112. Please see below
   regionID:  The region No to use the diffusive doping
-  doping_density: Na pr Nd  Posive is for n-type, negative is for p-type
+  Ndope: Na pr Nd  Posive is for n-type, negative is for p-type
+ <math>alphax</math> and <math>alphay</math> is the diffusion length in x and y direction. The unit is <math>\mu m </math>
+ For type = 1
+ x_left < x < x_right  y_bottom < y < y_top :  <math>  N_{d,a} = Ndope </math>
+ x < x_left    : <math>  N_{d,a} = Ndope * exp(-\alpha_{x}(|x-x_{left}|)) </math>
+ x > x_right   : <math>  N_{d,a} = Ndope * exp(-\alpha_{x}(|x-x_{left}|)) </math>
+ y < y_bottom  : <math>  N_{d,a} = Ndope * exp(-\alpha_{y}(|y-y_{bottom}|)) </math>
+ y > y_top     : <math>  N_{d,a} = Ndope * exp(-\alpha_{y}(|y-y_{top}|)) </math>

「$adddiffusivedope」：修訂間差異

於 2023年4月25日 (二) 15:15 的修訂

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