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Lec 18 Ion Implantation Process I

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Integrated Circuit Technology
Faculty-in-charge: Dr. Sitangshu Bhattacharya
Department of ECE
Indian Institute of Information Technology-Allahabad
Room No. 2221, CC-I
Telephone: 2131
Email: sitangshu@iiita.ac.in
Integrated Circuit Technology
Contents:
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Introduction to VLSI Design
Bipolar Junction Transistor Fabrication
MOSFET Fabrication for IC
Crystal Structure of Si
Defects in crystal and crystal growth
Epitaxy
Vapor Phase Epitaxy
Doping During Epitaxy
Oxidation
Kinetics
Oxidation Rate Constants
Doping Redistribution
Oxide Charges
Diffusion
Theory of Diffusion
Diffusion-Infinite Source
Actual Doping Profiles, Diffusion Systems
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
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Ion Implantation Process
Annealing of Damages
Masking During Implantation
Lithography
Etching
Wet Chemical Etching
Dry Etching
Plasma Etching
Etching of Si, SiO2, SiN and other
materials
Plasma Deposition Process
Metalization
Problems in Aluminium Metal
IC BJT-From Junction Isolation to LOCOS
Problems in LOCOS+Trench Isolation
Metal Gate vs Self Aligned Poly-gate
MOSFET-Tailoring of Device Parameters
CMOS Technology
Latch-up in CMOS
BiCMOS Technology
Reading Materials:
a) VLSI Technology, S M Sze
b) VLSI Fabrication Principles, S K Gandhi
c) Fundamentals of Semiconductor Fabrication, G S May and S M Sze
Integrated Circuit Technology
Ion Implantation
Doping can be either done by diffusion or by Ion Implantation
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Merits and de-merits of diffusion over Ion implantation:
Diffusion
❑ Contamination: You cannot use the same furnace
or same Quartz boat or push rod for B and P. You
must have separate booths for every thing.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
Ion Implantation
❑ Contamination: It is a cleaner process as it is done
under high vacuum. Any high vacuum process is
cleaner.
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Merits and de-merits of diffusion over Ion implantation:
Diffusion
❑ Contamination: You cannot use the same furnace
or same Quartz boat or push rod for B and P. You
must have separate booths for every thing.
Ion Implantation
❑ Contamination: It is a cleaner process as it is done
under high vacuum. Any high vacuum process is
cleaner.
❑ Control of doping profile is within 5-10% of the
predicted value. Controlling ambient is difficult.
❑ Control of doping profile (ion dose) is within ±1% of the
predicted value. Controlling ambient is easy.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Merits and de-merits of diffusion over Ion implantation:
Diffusion
❑ Contamination: You cannot use the same furnace
or same Quartz boat or push rod for B and P. You
must have separate booths for every thing.
Ion Implantation
❑ Contamination: It is a cleaner process as it is done
under high vacuum. Any high vacuum process is
cleaner.
❑ Control of doping profile is within 5-10% of the
predicted value. Controlling ambient is difficult.
❑ Control of doping profile (ion dose) is within ±1% of the
predicted value. Controlling ambient is easy.
❑ Diffusion is high temperature process (here you
have to grow oxide for masking or selective
masking).
❑ Ion implantation is room temperature process (here
you can use photo-lithography for masking or selective
masking).
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Merits and de-merits of diffusion over Ion implantation:
Diffusion
❑ Contamination: You cannot use the same furnace
or same Quartz boat or push rod for B and P. You
must have separate booths for every thing.
Ion Implantation
❑ Contamination: It is a cleaner process as it is done
under high vacuum. Any high vacuum process is
cleaner.
❑ Control of doping profile is within 5-10% of the
predicted value. Controlling ambient is difficult.
❑ Control of doping profile (ion dose) is within ±1% of the
predicted value. Controlling ambient is easy.
❑ Diffusion is high temperature process (here you
have to grow oxide for masking or selective
masking).
❑ Ion implantation is room temperature process (here
you can use photo-lithography for masking or selective
masking).
❑ Low concentration and a shallow junction is not
possible.
❑ Low concentration and a shallow junction is possible.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Low concentration and shallow junction at same time is not possible in diffusion:
Here junction width increases as concentration
decreases.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Merits and de-merits of diffusion over Ion implantation:
Diffusion
Ion Implantation
❑ Contamination: You cannot use the same furnace or
same Quartz boat or push rod for B and P. You must
have separate booths for every thing.
❑ Contamination: It is a cleaner process as it is done under high
vacuum. Any high vacuum process is cleaner.
❑ Control of doping profile is within 5-10% of the predicted
value. Controlling ambient is difficult.
❑ Diffusion is high temperature process (here you have to
grow oxide for masking or selective masking).
❑ Low concentration and a shallow junction is not possible.
❑ Diffusion is based on laws of diffusion (conc. gradient) so
that the upper limit of the concentration is determined by
the solid solubility.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
❑ Control of doping profile (ion dose) is within ±1% of the
predicted value. Controlling ambient is easy.
❑ Ion implantation is room temperature process (here you can
use photo-lithography for masking or selective masking).
❑ Low concentration and a shallow junction is possible. Here you
have two independent control:
1. Ion dose, which control total impurity and
2. Ion energy, which determine how deep the ion
should go.
❑ This is non equilibrium process. Here you are using energy to
direct the impurity by force, so the concentration can exceed
solid solubility limit.
Instead of surface, you can have the peak concentration
inside the bulk.
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Merits and de-merits of diffusion over Ion implantation:
Diffusion
❑ Not costlier.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
Ion Implantation
❑ Very costly.
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Lets discuss some merits and de-merits of diffusion over Ion implantation:
Diffusion
Ion Implantation
❑ Not costlier.
❑ Very costly.
❑ Diffusion process, not much damage of the
surface.
❑ Layer will be completely damaged because of
bombardment, but this can be thermally annealed at
800 degC. However, annealing is a diffusion process.
Thus doping profile is going to get modified.
Fortunately for Si, 𝐷𝑡 , that determines the diffusion
depth is not very high at 950 degC. But for compound
semiconductors, this is a problem.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
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Ion Implantation
The main physics of ion implantation is divided into two parts
Ion Implantation
Nuclear Stopping
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
Electron Stopping
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Integrated Circuit Technology
Ion Implantation
Nuclear stopping: When the energetic ion (dopant) goes inside the surface (penetration), they begin to loose their
energy by colliding elastically to the lattice atoms. This also causes the damages and cause point defects.
Ion Implantation
Nuclear Stopping
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
Electron Stopping
See VLSI fabrication Principles By S K Gandhi
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Ion Implantation
Electron stopping: When the energetic ion (dopant) supplies its energy to the bound electrons. This makes the
bound electrons free to move inside the crystal. It does not create the defects.
Ion Implantation
Nuclear Stopping
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
Electron Stopping
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
The rate of energy loss of the ion can be mathematically written as
−
dE
= N ( Sn ( E ) + Se ( E ) )
dx
N is the number of target atoms per unit volume.
Sn(E) = nuclear stopping
Sp(E) = electronic stopping
Notice that the two Ss are function of energy.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
The rate of energy loss of the ion can be mathematically written as
−
dE
= N ( Sn ( E ) + Se ( E ) )
dx
N is the number of target atoms per unit volume.
Sn(E) = nuclear stopping
Sp(E) = electronic stopping
Notice that the two Ss are function of energy.

I am interested to know where the ion has gone finally?
What is the resting place of these ions?
Ions


− 
2
2
How far the dopant has dopants has gone inside: Range of ions (R)
Surface
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Range of Ions (R): It is the distance travelled when the energy has fallen to zero from its initial energy.
R
R =  dx
0

Ions


− 
2
2
Surface
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Range of Ions (R): It is the distance travelled when the energy has fallen to zero from its initial energy.
R
−
R =  dx
0
Or
dE
= N ( Sn ( E ) + Se ( E ) )
dx
1 E0
dE
R= 
N 0 ( Sn ( E ) + Se ( E ) )
Now, you can integrate this if you know how the stopping powers
are related to energy.
R is going to be the function of initial energy E0.

Ions


− 
2
2
Surface
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Projected Range (Rp): is the distance travelled by the ions in the direction of the incident ion. This is
characterized by the mean value of RP.


Rp
Ions

− 
2
2
Surface
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Projected Range (Rp): is the distance travelled by the ions in the direction of the incident ion. This is
characterized by the mean value of RP.
Straggle (∆Rp) : In statistics, this is actually the standard deviation or the variation of RP.


Rp
Ions

− 
2
2
Surface
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Projected Range (Rp): is the distance travelled by the ions in the direction of the incident ion. This is
characterized by the mean value of RP.
Straggle (∆Rp) : In statistics, this is actually the standard deviation or the variation of RP.
These two parameters tells you how deep the ions are going to penetrate.


Rp
Ions

− 
2
2
Surface
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
How is the doping profile look like in case of ion implantation?
If we assume that the target is perfectly amorphous (no symmetry in target), then the profile is given by a
Gaussian function.
2
 1 x−R  
p
N ( x ) = N Rp exp  − 
 

 2  R p  


RP
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
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Ion Implantation
Now the assumption is that the target is perfectly
amorphous.
 1  x − R 2 
p
N ( x ) = N Rp exp  − 
 

 2  R p  


But my target here is crystalline!
And VLSI technology is done on single crystal.
So, what I will do, I will make this target to look like an
amorphous.
For crystal sample, the ions can go to long distances
without colliding and the mathematical process becomes
difficult to analyse.
RP
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Now the total concentration is given by the area under
the curve N vs x
 1  x − R 2 
p
N ( x ) = N Rp exp  − 
 

 2  R p  


The dose (i.e., the concentration) is given by

 =  N ( x ) dx
−
RP
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Now the total concentration is given by the area under
the curve N vs x
 1  x − R 2 
p
N ( x ) = N Rp exp  − 
 

 2  R p  


The dose (i.e., the concentration) is given by

 =  N ( x ) dx
−
As Gaussian function is even function
 1  x − R 2 
p
 = N Rp  exp  − 
 dx

 2  R p  
0



Or with
z=
x − Rp
2R p
We get
 = 2NR
  
2RP  exp ( − z 2 )dz = 2 N Rp 2RP 
 = 2 RP N Rp
2
0



p
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
RP
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Now the total concentration is given by the area under
the curve N vs x
 1  x − R 2 
p
N ( x ) = N Rp exp  − 
 

 2  R p  


The dose (i.e., the concentration) is given by

 =  N ( x ) dx
−
As Gaussian function is even function
 1  x − R 2 
p
 = N Rp  exp  − 
 dx

 2  R p  
0



Or with
z=
x − Rp
2R p
We get
 = 2NR
  
2RP  exp ( − z 2 )dz = 2 N Rp 2RP 
 = 2 RP N Rp
2
0



p
Thus the peak concentration is given by
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
N Rp =
RP

2 RP
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Integrated Circuit Technology
Ion Implantation
 is the ion dose, so most often, you have to control the
dose.
 1  x − R 2 

p
NR =
− 
N
x
=
N
exp
(
)
 
R
2 RP

 2  R p  


p
p
The dose is controlled by the ion beam current, so that in
the instrument you need to control the ion beam current.
Now, how do you make the crystal Si to look like
amorphous ?
RP
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
 is the ion dose, so most often, you have to control the
dose.
 1  x − R 2 

p
NR =
− 
N
x
=
N
exp
(
)
 
R
2 RP

 2  R p  


p
p
The dose is controlled by the ion beam current, so that in
the instrument you need to control the ion beam current.
Now, how do you make the crystal Si to look like
amorphous ?
You do this by misaligning the crystal by 7-10% from its
crystallographic axis. If the crystal is misaligned to the
direction of the ion beam, then for the ion bean the
crystal symmetry will be lost. And the crystal would
appear as an amorphous to the beam.
RP
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
 is the ion dose, so most often, you have to control the
dose.
 1  x − R 2 

p
NR =
− 
N
x
=
N
exp
(
)
 
R
2 RP

 2  R p  


p
p
The dose is controlled by the ion beam current, so that in
the instrument you need to control the ion beam current.
Now, how do you make the crystal Si to look like
amorphous ?
You do this by misaligning the crystal by 7-10% from its
crystallographic axis. If the crystal is misaligned to the
direction of the ion beam, then for the ion bean the
crystal symmetry will be lost. And the crystal would
appear as an amorphous to the beam.
If it is aligned along the crystallographic axis, then there
will be a lot of variation in the expected Gaussian
distribution. The ions will find several empty ways to
move deeper into the crystal resulting channelling.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
 is the ion dose, so most often, you have to control the
dose.
 1  x − R 2 

p
NR =
− 
N
x
=
N
exp
(
)
 
R
2 RP

 2  R p  


p
p
The dose is controlled by the ion beam current, so that in
the instrument you need to control the ion beam current.
Now, how do you make the crystal Si to look like
amorphous ?
You do this by misaligning the crystal by 7-10% from its
crystallographic axis. If the crystal is misaligned to the
direction of the ion beam, then for the ion bean the
crystal symmetry will be lost. And the crystal would
appear as an amorphous to the beam.
If it is aligned along the crystallographic axis, then there
will be a lot of variation in the expected Gaussian
distribution. The ions will find several empty ways to
move deeper into the crystal resulting channelling.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
 is the ion dose, so most often, you have to control the
dose.
 1  x − R 2 

p
NR =
− 
N
x
=
N
exp
(
)
 
R
2 RP

 2  R p  


p
p
The dose is controlled by the ion beam current, so that in
the instrument you need to control the ion beam current.
Now, how do you make the crystal Si to look like
amorphous ?
You do this by misaligning the crystal by 7-10% from its
crystallographic axis. If the crystal is misaligned to the
direction of the ion beam, then for the ion bean the
crystal symmetry will be lost. And the crystal would
appear as an amorphous to the beam.
If it is aligned along the crystallographic axis, then there
will be a lot of variation in the expected Gaussian
distribution. The ions will find several empty ways to
move deeper into the crystal resulting channelling.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Channelling:
 1  x − R 2 

p
NR =
− 
N
x
=
N
exp
(
)
 
R
2 RP

 2  R p  



NR =
2 RP
p
 is the dose and the dose is increasing from top to
bottom. Here the beam is aligned along [110] direction.
p
p
❑ The channelling is more for low dose and becomes
less as dose increases. This is because as you dose
the crystal, the damages occurs and the sample
resembles as amorphous. The profile reaches
Gaussian.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Channelling:
 1  x − R 2 

p
NR =
− 
N
x
=
N
exp
(
)
 
R
2 RP

 2  R p  



NR =
2 RP
p
 is the dose and the dose is increasing from top to
bottom. Here the beam is aligned along [110] direction.
p
p
❑ The channelling is more for low dose and becomes
less as dose increases. This is because as you dose
the crystal, the damages occurs and the sample
resembles as amorphous. The profile reaches
Gaussian.
Ways to make amorphous surface:
❑ Self-implantation: Prior to the actual implantation, use
Si ion beams to dose Si ions into Si crystal. This will
make the surface amorphous and a more Gaussian
profile.
❑ Make a thin oxide. This will not stop the beam, but to
the ion beam it will resemble the amorphous surface.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Channelling:
 is the dose and the dose is increasing from top to
bottom. Here the beam is aligned along [110] direction.
❑ The channelling is more for low dose and becomes
less as dose increases. This is because as you dose
the crystal, the damages occurs and the sample
resembles as amorphous. The profile reaches
Gaussian.
 1  x − R 2 
p
N ( x ) = N Rp exp  − 
 

 2  R p  


N Rp =

2 RP
Ways to make amorphous surface:
❑ Self-implantation: Prior to the actual implantation, use
Si ion beams to dose Si ions into Si crystal. This will
make the surface amorphous and a more Gaussian
profile.
❑ Make a thin oxide. This will not stop the beam, but to
the ion beam it will resemble the amorphous surface.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Lets go back to nuclear stopping:
Ion Implantation
Nuclear Stopping
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
Electron Stopping
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
Lets go back to nuclear stopping:
The plot of the energy loss with energy
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
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Ion Implantation
Lets go back to nuclear stopping:
The plot of the energy loss with energy
The ion beam starts with this energy
(enters the semiconductor, with high
energy). Energy transfer is less.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
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Ion Implantation
Lets go back to nuclear stopping:
The plot of the energy loss with energy
Energy of the beam slows down.
Maximum loss at RP.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
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Ion Implantation
Lets go back to nuclear stopping:
The plot of the energy loss with energy
Energy becomes zero. There is
nothing to be loss now. The energy is
zero, means the ion beam is at rest.
This is nuclear stopping.
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Lets go back to nuclear stopping:
The plot of the energy loss with energy
Now this exact variation of Sn(E) is
difficult to model so one takes a
constant Sn0.
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Lets go back to nuclear stopping:
So, in nuclear stopping, for simplicity one uses a constant Sn which is independent of energy.
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Lets go back to electron stopping:
In electron stopping, the energy loss varies as square root of energy.
Sn ( E )  E
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
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Lets go back to electron stopping:
In electron stopping, the energy loss varies as square root of energy.
Sn ( E )  E
This is critical energy. When the energy is greater
than Ec, electron stopping dominates while less
than that nuclear stopping dominates.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
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Thus, the range for these two process can be written in the extreme regimes as
1 E0 dE
1/2
R= 
=
K
E
1
N 0 KE1/2
Electron stopping
Sn ( E )  E
This is critical energy.
R
R =  dx
0
−
dE
= N ( Sn ( E ) + Se ( E ) )
dx
R=
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
1 E0
dE

N 0 ( Sn ( E ) + Se ( E ) )
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Thus, the range for these two process can be written in the extreme regimes as
1 E0 dE
1/2
R= 
=
K
E
1
N 0 KE1/2
Electron stopping
Sn ( E )  E
1 E0 dE
R= 
= K2 E
N 0 C
Nuclear stopping
This is critical energy.
R
R =  dx
0
−
dE
= N ( Sn ( E ) + Se ( E ) )
dx
R=
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
1 E0
dE

N 0 ( Sn ( E ) + Se ( E ) )
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Ion Implantation
Thus, the range for these two process can be written in the extreme regimes as
1 E0 dE
1/2
R= 
=
K
E
1
N 0 KE1/2
Electron stopping
Sn ( E )  E
1 E0 dE
R= 
= K2 E
N 0 C
Nuclear stopping
So, in both cases you have R as a function of energy.
This is critical energy.
R
R =  dx
0
−
dE
= N ( Sn ( E ) + Se ( E ) )
dx
R=
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1 E0
dE

N 0 ( Sn ( E ) + Se ( E ) )
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The mean projected range (Rp) can be found out as (derivation not important at this stage)
Sn ( E )  E
Rp =
R
M
1+ 1
3M 2
M1 = mass of target atom and
M2 = mass of incident ion.
This is critical energy.
R
R =  dx
0
−
dE
= N ( Sn ( E ) + Se ( E ) )
dx
R=
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1 E0
dE

N 0 ( Sn ( E ) + Se ( E ) )
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Ion Implantation
Rp =
R
M
1+ 1
3M 2
M1 = mass of target atom and
M2 = mass of incident ion.
Sn ( E )  E
The critical energy can be shown (derivation not important at this stage)
as
15 KeV for Boron: As Boron is much lighter atom.
So you need lesser energy to push it inside.
150 KeV for Phosphorous
This is critical energy.
R
R =  dx
0
−
dE
= N ( Sn ( E ) + Se ( E ) )
dx
R=
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1 E0
dE

N 0 ( Sn ( E ) + Se ( E ) )
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Now as in case of diffusion, if you have a window and if you want to have a junction depth of 1 um, the lateral
width will be then 0.8 + 0.8 + 1 um = 2.6 um
1 um
1 um Si
1 um
1 um Si
0.8 um
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0.8 um
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In case of Ion implantation, you also have a
similar thing and that is extremely difficult to
model.
One may model the 2D spreading effect via the
relation
N ( x, y ) = N ( x ) 
1 um
1
y−a
y+a 
erfc
+
erfc


2
2Rt
2Rt 
1 um Si
-a
2a
0
y
a
Si
x
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
Integrated Circuit Technology
Ion Implantation
In case of Ion implantation, you also have a
similar thing and that is extremely difficult to
model.
One may model the 2D spreading effect via the
relation
N ( x, y ) = N ( x ) 
1
y−a
y+a 
erfc
+
erfc


2
2Rt
2Rt 
-a
2a
0
y
a
Si
x
The fallout is the following figure.
Assignment: Work it out to show numerically.
Faculty-in-charge: Dr. Sitangshu Bhattacharya 2015
See VLSI fabrication Principles By S K Gandhi
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