I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
1
Intel
Nanotechnology
Overview
Paolo Gargini
Paolo Gargini
Chairman ITRS
Chairman ITRS
Director of Technology Strategy
Director of Technology Strategy
Intel Fellow
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
2
Agenda
Agenda
Nanotechnology: Origins and Myths
Nanotechnology: Origins and Myths
Geom etrical Scaling
Geom etrical Scaling
Equivalent Scaling
Equivalent Scaling
I nnovation
I nnovation
Beyond CMOS
Beyond CMOS
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
3
The Nanoscale
The Nanoscale
10
10
-
-
3
3
m = 1 Millim eter
m = 1 Millim eter
10
10
-
-
9
9
m = 1 Nanom eter
m = 1 Nanom eter
10
10
-
-
6
6
m = 1 Microm eter
m = 1 Microm eter
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
4
Scaling down the MOSFET design has
worked well up to current commercial size
devices sizes, but when MOSFETs are
fabricated below
100 nanometers in size,
certain factors may
inhibit their usefulness.
One hundred nanometers, or 0.1 micron, is
often called the
“0.1 micron barrier”.
Beyond
this barrier, many scientists believe that
new
devices will need to take the place of the
MOSFET. (1994 NTRS)
The MITRE Corporation, July 1996
Is 100nm the Ultimate Limit of CMOS?
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
5
Many investigators in the field of
next-generation electronics project that as the
smallest features on mass-produced
transistors shrink from their present length of
250nm to
100nm and below, the devices will
become more difficult and costly to fabricate.
The MITRE Corporation, March 1997
Is Cost the Ultimate Limit of CMOS?
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
6
National Nanotechnology
National Nanotechnology
Initiative (NNI)
Initiative (NNI)
“
“
My budget supports a major new National Nanotechnology
My budget supports a major new National Nanotechnology
Initiative, worth $500 million.
Initiative, worth $500 million.
…
…
the ability to manipulate
the ability to manipulate
matter at the atomic and molecular level. Imagine the
matter at the atomic and molecular level. Imagine the
possibilities: materials with ten times the strength of steel an
possibilities: materials with ten times the strength of steel an
d
d
only a small fraction of the weight
only a small fraction of the weight
--
--
shrinking all the
shrinking all the
information housed at the Library of Congress into a device
information housed at the Library of Congress into a device
the size of a sugar cube
the size of a sugar cube
--
--
detecting cancerous tumors when
detecting cancerous tumors when
they are only a few cells in size. Some of our research goals
they are only a few cells in size. Some of our research goals
may take 20 or more years to achieve, but that is precisely
may take 20 or more years to achieve, but that is precisely
why there is an important role for the federal government.
why there is an important role for the federal government.
”
”
----
President William J. Clinton
President William J. Clinton
January 21, 2000
January 21, 2000
California Institute Of Technology
California Institute Of Technology
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
7
Nanothechnology Working
Nanothechnology Working
Definition
Definition
Nanotechnology refers to any application of
Science that deals with elements between
100 nanometers and a tenth of a nanometer
In size, in which size is critical to the
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
8
Word
Word
-
-
wide Nanotechnology Funding
wide Nanotechnology Funding
(M$)
(M$)
4 6 5
4 6 5
1 0 0 8 6
1 0 0 8 6
6 9 8 7
6 9 8 7
4 5 4 7
4 5 4 7
2 7 8 0
2 7 8 0
1 7 5 8
1 7 5 8
1 0 5 6
1 0 5 6
4 3 2
4 3 2
3 0 9 9
3 0 9 9
2 4 4 0
2 4 4 0
1 7 6 7
1 7 6 7
1 0 2 2
1 0 2 2
7 0 2
7 0 2
6 2 4
6 2 4
4 3 2
4 3 2
8 4 9
8 4 9
7 7 0
7 7 0
6 9 7
6 9 7
4 6 6
4 6 6
2 7 0
2 7 0
2 5 5
2 5 5
1 1 6
1 1 6
8 0 0
8 0 0
5 5 0
5 5 0
3 8 0
3 8 0
1 1 0
1 1 0
9 6
9 6
8 3
8 3
7 0
7 0
8 0 0
8 0 0
7 2 0
7 2 0
2 4 5
2 4 5
1 5 7
1 5 7
1 3 5
1 3 5
1 2 0
1 2 0
Cu m
Cu m
Tot a l
Tot a l
USA
USA
Ot h e r s
Ot h e r s
Ja pa n
Ja pa n
6 5 0
6 5 0
4 0 0
4 0 0
2 2 5
2 2 5
2 0 0
2 0 0
1 7 9
1 7 9
1 5 1
1 5 1
1 2 6
1 2 6
W .Eu r ope
W .Eu r ope
2 0 0 4
2 0 0 4
2 0 0 3
2 0 0 3
2 0 0 2
2 0 0 2
2 0 0 1
2 0 0 1
2 0 0 0
2 0 0 0
1 9 9 9
1 9 9 9
1 9 9 7
1 9 9 7
Re gion
Re gion
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
9
World
World
-
-
wide Nanotechnology $
wide Nanotechnology $
Nanotechnology Funding
0
500
1000
1500
2000
2500
3000
3500
1997 1999 2000 2001 2002 2003 2004
Year
M
illio
n
$
W.Europe
Japan
Others
USA
Total
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
10
10000
10000
1000
1000
100
100
10
10
10
10
1
1
0.1
0.1
0.01
0.01
Micron
Micron
Nano
Nano
meter
meter
-
-1970
1980
1990
2000
2010
2020
Microelectronics
Sub-micron
100nm is Not the Ultimate Limit of
100nm is Not the Ultimate Limit of
CMOS!
CMOS!
Nanotechnology
Nanotechnology
Gate Width
Gate Width
YEAR
LSI
ULSI
NSI
Nano Scale Integration
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
11
The Law that Never Existed!
The Law that Never Existed!
M oore ’s Se c ond La w
Cost of Fa
b
$60B
$50B
$40B
$36B
$20B
$10B
$0B
1992
1995
1998
2001
2004
2007
2010
M oore ’s Se c ond La w
Cost of Fa
b
$60B
$50B
$40B
$36B
$20B
$10B
$0B
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
12
Cost is Not the Limit of CMOS!
Cost is Not the Limit of CMOS!
0.04
0.04
0.05
0.05
0.04
0.04
$B/kwpm
$B/kwpm
30
30
-
-
35
35
~77 (200mm
~77 (200mm
-
-equivalent)
equivalent)
40
40
20
20
Fab capacity,
Fab capacity,
kwpm
kwpm
3
3
2
2
0.9
0.9
Fab cost, $B
Fab cost, $B
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
13
>60X Transistor Cost Drop from 350nm to
90nm Node
(Source: Intel ‘03)
>60X Transistor Cost Drop from 350nm to
>60X Transistor Cost Drop from 350nm to
90nm Node
90nm Node
(Source: Intel
(Source: Intel
‘
‘
03)
03)
Cost/Transistor Normalized to 130nm Node Cost/Transistor Normalized to 130nm Node
Cost/Transistor Normalized to 130nm Node
2003
2001
1999
1997
1995
0.1
1.0
10.0
100.0
350nm
250nm
180nm
130nm
90nm
Technology Node/Introduction Year
N
o
rmalized Cos
t/Transistor
Cost per Total Trans 25% Savings/Year 35% Savings/Year 40% Savings/Year
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
14
The Era of
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
15
With respect to the factor contributed by Device and Circuit
Cleverness, however, the situation is different.
We are approaching a limit that must slow the rate of progress
I see no reason to expect the rate of progress
In the use of smaller dimensions in complex
Circuits to decrease in the near future.
Gordon Moore, IEDM
1975
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
16
Moore
Moore
’
’
s Law and Scaling Laws
s Law and Scaling Laws
Convergence
Convergence
50% AREA READUCION
GENERATION TO GENERATION
50%
=> 30% LINEAR FEATURE REDUCTION
0.5 = 0.7
Year 0=1X
Year 1
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
17
Worldwide Transistor Production
1000000 10000000 1E+08 1E+09 1E+10 1E+11 1E+12 1E+13 1E+14 1E+15 1E+16 1E+17 1E+18
1955 1957 1959 1961 1963 1965 1967 1969 1971 1973 1975 1977 1979 1981 1983 1985 1987 1989 1991 1993 1995 1997 1999 2001
Units
RESTRICTED DATA: for access and use only within your company, as per your company's agreement with VLSI Research Inc. Copyright © 2003 by VLSI Research Inc.
There's no slowing of
Moore's Law here!
[ Transistors ]
Source: VLSI Research
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
18
Average Transistor Price by Year
Average Transistor Price by Year
Nearly 7 Orders Of Magnitude Reduction in Price/Transistor
Nearly 7 Orders Of Magnitude Reduction in Price/Transistor
0.0000001
0.000001
0.00001
0.0001
0.001
0.01
0.1
1
10
'68 '70 '72 '74 '76 '78 '80 '82 '84 '86 '88 '90 '92 '94 '96 '98 '00 '02
100 Nanodollars per transistor !
Source: WSTS/Dataquest/Intel, 3/04
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
19
Transistor Trade-offs
F
Max
= I
DSat
/ V
DD
C
ox
I
DSat
~1
µ
C
ox
(W)(V
DD
–V
T
)
2
2
Lg
Power= V
DD
2
C
ox
F
Max
S
D
G
Lg
W
Increase Cox
=>Reduce
t
ox
Reduce
Lg
Reduce
V
DD
ε
o
ε
s
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
20
Gate Oxide Scaling
Gate Oxide Scaling
1
10
1990
1995
2000
2005
Gate Oxide
Thickness
(nm)
1
10
1.2 nm
90nm
.13um
.18um
.25um
.35um
Generation
I
DSat
1
µ
(V
DD
–V
T
)
2
2
Lg
W
ε
o
ε
s
1
t
ox
~
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
21
Transistor Performance
Transistor Performance
0.0
0.2
0.4
0.6
0.8
1.0
1.2
1.4
1990
1995
2000
2005
Drive
Current
(mA/um)
1
10
Supply
Voltage
(V)
NMOS
PMOS
1.2V
90nm
.13um
.18um
.25um
.35um
Generation
I
DSat
1
µ
(V
DD
–V
T
)
2
2
Lg
W
ε
o
ε
s
1
t
ox
~
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
22
Gate Delay Trend
100nm
F
Max
= I
DSat
/ V
DD
C
ox
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
23
0.35
0.35
Μ
Μ
Gate
Gate
Salicide
Salicide
Spacer
Spacer
Salicide
Salicide
The Incredible Shrinking
The Incredible Shrinking
Silicon Technology in the 90s
Silicon Technology in the 90s
µ
µ
0.25
0.25
Salicide
Gate
Gate
Spacer
Spacer
Salicide
0.18
0.18
µ
µ
Gate
Gate
SpacerSpacerSalicide
Salicide
1995
1997
1999
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
24
Process Name
Px60
P1262
P1264
P1266
P1268
Lithography
130nm 90nm
65nm
45nm
32nm
Gate Length
70nm
50nm
35nm
25nm
18nm
Wafer (mm) 200/300
300
300
300
300
1
stProduction
2001
2003
2005
2007
2009
Intel's Logic Technology
Intel's Logic Technology
Evolution Continues
Evolution Continues
Moore's Law continues!
Intel continues to introduce a new
technology generation every 2 years
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
25
50nm
50nm
100nm
100nm
Transistor for
Transistor for
90nm
90nm
-
-
node
node
Gate oxide=1.2nm
Gate oxide=1.2nm
Source: Intel
Source: Intel
Influenza virus
Influenza virus
Source: CDC
Source: CDC
Nanotechnology Today
Example of today’s technology: 50 nm transistor dimension
Intel
Intel 2003 Silicon Nanotech Product
Revenue >$20B
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
26
50nm
50nm
But is this really
Nanotechnology
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
27
CMOS Future Directions
CMOS Future Directions
??/2-3year
New Devices
2010-20XX
2X Performance/2-3year
Integrated Solutions
2000-2014
70%/2-3year
70% / 2-3year
Equivalent Scaling
2005-2014
1970-2004
Traditional Scaling
Features
Source: ITRS 7/11/1998
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
28
The Era of
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
29
The Ideal MOS Transistor
The Ideal MOS Transistor
Fully Surrounding
Metal Electrode
High-K
Gate Insulator
Fully Enclosed,
Depleted
Semiconductor
Band Engineered
Semiconductor
Low Resistance
Source/Drain
Drain
Source
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
30
New Transistor Trade-off
I
DSat
~1
µ
C
ox
(W)(V
DD
–V
T
)
2
2
Lg
S
D
G
Lg
W
Increase Cox
Reduce
Lg
µ
Increase
µ
ε
o
κ
s
t
ox
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
31
R
R
®
®
Gate Dielectric Scaling
Gate Dielectric Scaling
1
2
3
Tox equivalent (nm)
4
8
12
Monolayers
4
0
1999
2001
2003
2005
1997 NTRS
P.Gargini
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
32
Gate Oxide Scaling
Gate Oxide Scaling
1
10
1990
1995
2000
2005
Gate Oxide
Thickness
(nm)
1
10
1.2 nm
Thinner gate oxide increases transistor performance
Thinner gate oxide increases transistor performance
90nm
.13um
.18um
.25um
.35um
Generation
Silicon substrate
1.2nm SiO
2Gate
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
33
The Next Step Towards Equivalent
The Next Step Towards Equivalent
Scaling: High
Scaling: High
-
-
k Dielectric
k Dielectric
Silicon substrate
Gate
3.0nm High-k
Silicon substrate
1.2nm SiO
2Gate
November 4
th, 2003
High-k
1.6x
< 0.01x
90nm process
1.0x
1.0x
Capacitance:
Leakage:
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
34
Gate Dielectric Scaling (High
Gate Dielectric Scaling (High
-
-
K)
K)
1
10
1990
1995
2000
2005
Gate Dielectric
Thickness
(nm)
1
10
1.2 nm
Thinner equivalent gate oxide increases transistor performance
Thinner equivalent gate oxide increases transistor performance
90nm
.13um
.18um
.25um
.35um
Generation
2010
K=
3X
K
D
K=
5X
K
D
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
35
Equivalent Scaling
plus
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
36
Transistor Strain
Transistor Strain
Techniques
Techniques
D
G
S
S
D
G
Tensile Si
3N
4Cap
S
D
G
Selective SiGe S-D
Graded SiGe Layer
Biaxial
Tensile Strain
Uniaxial
Compressive Strain
for PMOS
Uniaxial
Tensile Strain
for NMOS
Traditional Approach
Intel's 90nm Technology
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
37
Strained Silicon Transistors
Strained Silicon Transistors
Normal Silicon Lattice Strained Silicon Lattice
Current Flow
Normal
electron
flow
Faster
electron
flow
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
38
Mobility Innovation
Mobility Innovation
SiGe
SiGe
Strained
Strained
P
P
-
-
Channel
Channel
Transistor
Transistor
High Stress
Film
Strained
Strained
N
N
-
-
Channel
Channel
Transistor
Transistor
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
39
40
60
80
100
120
140
0
0.2
0.4
0.6
0.8
1
1.2
E
EFF
(MV/cm)
Universal Hole
Mobility
M
o
b
ilit
y
c
m
2
/ (
V
*S
e
c
)
This work
Ref. 3
Ref. 2
Hole Mobility as a Function of
Vertical Effective Field
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
40
65nm Process
65nm Process
-
-
Transistor
Transistor
Strained silicon enhanced for
Strained silicon enhanced for
perform ance and power
perform ance and power
efficiency
efficiency
35nm
35nm
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
41
1
10
100
1000
0.2
0.4
0.6
0.8
1.0
1.2
I
ON
(mA/um)
I
OFF
(nA/um)
PMOS
NMOS
90 nm
2002
2004
65 nm
2004
1.0 V
Improved Transistor Performance by
Improved Transistor Performance by
Use of Nanotechnology
Use of Nanotechnology
6 5 n m t r a n sist or s in cr e a se dr ive cu r r e n t 1 0
6 5 n m t r a n sist or s in cr e a se dr ive cu r r e n t 1 0
-
-
1 5 % w it h e n h a n ce d st r a in
1 5 % w it h e n h a n ce d st r a in
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
42
1
10
100
1000
0.2
0.4
0.6
0.8
1.0
1.2
I
ON
(mA/um)
I
OFF
(nA/um)
PMOS
NMOS
90 nm
2002
2004
65 nm
2004
1.0 V
Reduced Transistor Leakage by Use
Reduced Transistor Leakage by Use
of Nanotechnology
of Nanotechnology
6 5 n m t r a n sist or s ca n a lt e r n a t ive ly pr ovide ~ 4 x le a k a ge r e du ct io
6 5 n m t r a n sist or s ca n a lt e r n a t ive ly pr ovide ~ 4 x le a k a ge r e du ct io
n
n
N o ot h e r com pa n y h a s m a t ch e d t h e se pe r for m a n ce
N o ot h e r com pa n y h a s m a t ch e d t h e se pe r for m a n ce
-
-
le a k a ge
le a k a ge
ca pa bilit ie s
ca pa bilit ie s
Power
Saving
Feature
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
43
Process Name
Px60
P1262
P1264
P1266
P1268
Lithography
130nm 90nm
65nm
45nm
32nm
Gate Length
70nm
50nm
35nm
25nm
18nm
Wafer (mm) 200/300
300
300
300
300
1
stProduction
2001
2003
2005
2007
2009
Intel's Logic Technology
Intel's Logic Technology
Evolution
Evolution
Moore's Law continues!
Intel continues to introduce a new
technology generation every 2 years
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
44
Continuation of Moore
Continuation of Moore
’
’
s Law
s Law
St r a in e d
St r a in e d
Si
Si
St r a in e d
St r a in e d
Si
Si
St r a in e
St r a in e
d Si
d Si
St r a in e d
St r a in e d
Si
Si
St r a in e d
St r a in e d
Si
Si
Si
Si
Si
Si
Si
Si
Ch a n n e l
Ch a n n e l
P1 2 7 0
P1 2 7 0
P1 2 6 8
P1 2 6 8
P1 2 6 6
P1 2 6 6
P1 2 6 4
P1 2 6 4
P1 2 6 2
P1 2 6 2
Px 6 0
Px 6 0
P8 5 8
P8 5 8
P8 5 6
P8 5 6
Pr oce ss N a m e
Pr oce ss N a m e
3 0 0
3 0 0
3 0 0
3 0 0
3 0 0
3 0 0
3 0 0
3 0 0
3 0 0
3 0 0
2 0 0 / 3 0 0
2 0 0 / 3 0 0
2 0 0
2 0 0
2 0 0
2 0 0
W a fe r Size
W a fe r Size
( m m )
( m m )
M e t a l
M e t a l
M e t a l
M e t a l
M e t a l
M e t a l
Poly
Poly
-
-silicon
silicon
Poly
Poly
-
-silicon
silicon
Poly
Poly
-
-silicon
silicon
Poly
Poly
-
-silicon
silicon
Poly
Poly
-
-silicon
silicon
Ga t e e le ct r ode
Ga t e e le ct r ode
H igh
H igh
-
-
k
k
H igh
H igh
-
-
k
k
H igh
H igh
-
-
k
k
SiO
SiO
22SiO
SiO
22SiO
SiO
22SiO
SiO
22SiO
SiO
22Ga t e die le ct r ic
Ga t e die le ct r ic
?
?
Cu
Cu
Cu
Cu
Cu
Cu
Cu
Cu
Cu
Cu
Al
Al
Al
Al
I n t e r
I n t e r
-
-
con n e ct
con n e ct
2 2 n m
2 2 n m
3 2 n m
3 2 n m
4 5 n m
4 5 n m
6 5 n m
6 5 n m
9 0 n m
9 0 n m
0 .1 3
0 .1 3
µ
µ
m
m
0 .1 8
0 .1 8
µ
µ
m
m
0 .2 5
0 .2 5
µ
µ
m
m
Pr oce ss
Pr oce ss
Ge n e r a t ion
Ge n e r a t ion
2 0 1 1
2 0 1 1
2 0 0 9
2 0 0 9
2 0 0 7
2 0 0 7
2 0 0 5
2 0 0 5
2 0 0 3
2 0 0 3
2 0 0 1
2 0 0 1
1 9 9 9
1 9 9 9
1 9 9 7
1 9 9 7
1 st Pr odu ct ion
1 st Pr odu ct ion
Potential candidate for introduction
Potential candidate for introduction
Subject to change
Subject to change
Intel found a solution for
High-k
and metal gate
Intel found a solution for
Intel found a solution for
High
High
-
-
k
k
and metal gate
and metal gate
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
45
30nm
Prototype
(IEDM2000)
20nm Prototype
(VLSI2001)
25 nm 15nm15nm Prototype
15nm Prototype
(IEDM2001)
(IEDM2001)
50nm Length
(IEDM2002)
65nm Node
2005
45nm Node
2007
90nm Node
2003
32nm Node
2009
22nm Node
2011
10nm Prototype
10nm Prototype
(DRC 2003)
(DRC 2003)
CMOS device scaling continues for > decade
11nm node
2015
----2
013 –
2017
16 nm node
2013
7nm
7nm
5nm
5nm
3nm
3nm
8 nm node
2017
----2
003
–20
12 –
––
Evolution
Innovation
?
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
46
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
47
The Size of Things
The Size of Things
• 1 meter (1m)
• 1 mm (10
-3
m)
• 1
µ
m (10
-6
m)
• 1 nm (10
-9
m)
• 1 pm (10
-12
m)
• 1 fm (10
-15
m)
Silicon Lattice (
λ
=0.54 nm)
Human hair (<100
µ
m)
Sub-100nm Transistor, 2000 production
193 nm -DUV lithography
Wavelength of light (< 1
µ
m)
Limit planar transistor (~20-30 nm)
Limit ideal transistor (5 nm)
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
48
Plate
S
Silicon
D
L
L
L
L~5.4A
~1.6nm
The End of CMOS Progress
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
49
Some Particle’s Properties
Mass
Charge
Ψ=Σ
κ
c
κ
ψκ
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
50
Summary
Summary
•
•
The Sem iconductor I ndustry entered the
The Sem iconductor I ndustry entered the
Nano Scale
Nano Scale
I ntegration
I ntegration
Era in the
Era in the
year 2000
year 2000
•
•
I ntel has fully
I ntel has fully
em braced Nanotechnology
em braced Nanotechnology
as a m eans of
as a m eans of
continuously enhancing perform ance and density while
continuously enhancing perform ance and density while
reducing cost of Nanoelectronics I ntegrated Circuits
reducing cost of Nanoelectronics I ntegrated Circuits
•
•
Reported results indicate that I ntel will continue to
Reported results indicate that I ntel will continue to
lead
lead
the
the
Sem iconductor I ndustry into the Nano Scale I ntegration Era.
Sem iconductor I ndustry into the Nano Scale I ntegration Era.
•
•
Scaling
Scaling
( Geom etrical
( Geom etrical
-
-
> Equivalent
> Equivalent
-
-
> I nnovative)
> I nnovative)
will
will
continue,
continue,
facilitated by the availability of m ore
facilitated by the availability of m ore
“
“
knobs
knobs
”
”
( e.g.,
( e.g.,
high m obility, high
high m obility, high
-
-
k, low
k, low
-
-
k, thin body, m ulti
k, thin body, m ulti
-
-
gates, etc)
gates, etc)
well into the next decade
well into the next decade
•
•
I n
I n
-
-
house
house
developed innovative devices addressing the
developed innovative devices addressing the
needs of the next decades will be reported today by
needs of the next decades will be reported today by
Ken
Ken
David, Director of Com ponent Research
David, Director of Com ponent Research
•
•
Em erging Research Devices
Em erging Research Devices
potentially capable of
potentially capable of
extending the I C industry beyond CMOS for im plem entation
extending the I C industry beyond CMOS for im plem entation
in 15
in 15
-
-
20 years will be presented
20 years will be presented
George Bourianoff,
George Bourianoff,
Manager of Em erging Research Technology
Manager of Em erging Research Technology
•
•
Moore
Moore
’
’
s Law is still alive and well and it will
s Law is still alive and well and it will
continue for the next 15
I n t e l N a n ot e ch nology
Vir t u a l Ope n H ou se
51
52 Mbit SRAM Chips on 300 mm Wafer
52 Mbit SRAM Chips on 300 mm Wafer
120 billion transistors on one wafer!
120 billion transistors on one wafer!
Nanotechnology?
Do it with silicon
and
silicon technology!