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7/28/2019 Ch11_2
1/23
Backend - Chapter 11
Text Book:
Fundamentals, Practice and Modeling. . , . . ,and P. B. Griffin
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
7/28/2019 Ch11_2
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Backend - Chapter 11
Frontend vs. Backend
Backend
Frontend
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
2
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Backend - Chapter 11
Backend Technology
Backend technology: fabrication of interconnectsand the dielectrics that electrically isolate them.
Early structures were simple by today's standards.Oxide
Aluminum
N+Oxide
con
More metal interconnect levelsu u y
and speed.
Interconnects are separated intolocal interconnects (polysilicon,silicides, TiN) and intermediate-global interconnects (Cu or Al).
Backend processing is
. Larger fraction of total structureand processing.
Starting to dominate total speed
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
3(From ITRS)
of circuit.
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Backend - Chapter 11
Interconnection Considerations
Wire lengths Intra-cell routing
TI Presentations Slides:Impact of (Metal) Interconnect Scaling and ProcessVariation on Performance, Mayur Joshi, Nagaraj NS,Anthony Hill, Texas Instruments
n e -ce rou ng Local intra-block routing Global inter-block routing, clock, power
. . .
S gn cant Concerns Wire resistance
Wire capacitance Signal skew (interconnect variation) Wire delays vs. gate delays (wire beginning to dominate)
Inherent Considerations Planarization Vias vs. lines Local interconnect
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
Connection to gates
4
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Backend - Chapter 11
Chemical-Mechanical PolishingWafer carrier
WaferPolishing pad
Polishing table
Slurry(facing down)
The most common solut ion for planarization today is CMP, which
Close-up of wafer/pad interface:
Silicon
.
It is capable of forming very flatsurfaces as shown in the example.
Polishing pad(semi-rigid)
Oxideslurry
Deposit thick oxide
Plasma etchback CMP
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
5Locally planarized topography remains Globally planarized topography remains
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Backend - Chapter 11
Backend Structure SchematicWith PECVD oxide/PECVD nitride passivation bilayer
on top of final metal level
PECVD SiO 2
Metal 2
W PECVD SiO 2PECVD SiO 2
SOG or SOD
Metal 1
Field Oxide
W CVD SiO2
BPSGCVD SiO 2
+
Silicon
- .
Other variations include HDP oxide or the use of CMP.
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
6
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Backend - Chapter 11
Backend Structure SEM
Two backend structures. o Left: three metal levels and encapsulated BPSG for the first level
dielectric; SOG (encapsulated top and bottom with PECVD oxide) andCMP in the intermetal dielectrics. The mult ilayer metal layers and W
p ugs are a so c ear y seen.o Right: five metal levels, HDP oxide (with PECVD oxide on top) and CMPin the intermetal dielectr ics.
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
7
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Backend - Chapter 11
Measurement Methods
Resistance and Resistivity Metals and silicides
H s
=W H
L R
=
= W
L R s
Contact Res stance Cross-bridge Kelvin Probed Structure
Multiple contacts in series
W L R c
c
=
2211Rm Rm Rn R
cTotal++=
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
8
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Backend - Chapter 11
Electrical Measurements of ContactsLow resistance
SiliconS
ct
l
=
Representative of a
resistance computation
R cc
=
KELVIN BRIDGE
t
g vesoverestimation( R C ) of thecontact properties
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
9
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Backend - Chapter 11
Models and Simulation
Backend process simulation obviously relies heavily on the deposition andetching simulation tools discussed in Chapters 9 and 10.
Thin Film Deposition and Etching are key to processing. , an prev ous y ment one are a use
o Silicide Formation
o Chemical Mechanical Polishing
o Reflow
o Grain Growth
o Electromigration
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
10
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Backend - Chapter 11
Titanium Silicide Formationnewly
Ti
TiSi 2
Si + Ti TiSi 2 Ti
TiSi 2
Si + Ti TiSi 2
TiNN+ Ti TiN
a) b)
Si or Ndiffusion
through the
Silicon
Si
Silicon
Si
Silicide formation is often modelin usin the Deal-Grove linear-
material
parabolic model. Titanium Silicide growth based on a selective salicide formation.
1 nm of TI consumes 2.27 nm of Si producing 2.51 nm of TiSi 2
/
2
+=+ t A B
x
B
xss
++= 1
4/1
2 2 B At A
xs
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
11
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Backend - Chapter 11
Alternate Silicide FormationsCoSi 2Model
TiSi 2Model
Concern shorting of source-gate or gate-drain One solution: simultaneously grow TiN during the anneal
TiN is may also be used as a local interconnect if not removed TiN is also a diffusion barrier for most dopants
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
12
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Backend - Chapter 11
From Dr. Saraswat
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
13
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Backend - Chapter 11
Titanium Silicide Modeling Simulation of TiSi 2 formation using FLOOPS [11.32] on a 0.35 m wide
gate structure. Left: before formation anneal step. Right: after formationanneal step: 30 sec at 650
C in a nitrogen atmosphere
-0.4
-0.2
Titanium
Oxidespacer
TitaniumTitanium silicide
Titaniumnitride
Pinning point
-0.4
-0.2
0
0.2 i n m
i c r o n s
SiliconSilicondioxide i n
m i c r o n s
SiliconTitaniumsilicide Silicondioxide
0
0.2
-0.8 -0.4 0.0 0.4 0.8y in microns
0.4
x
-0.8 -0.4 0.0 0.4 0.8y in microns
0.4
Titanium Deposition After Anneal in NitrogenTiSi 2 forms over silicon and polysilicon, not over SiO 2.
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
14
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Backend - Chapter 11
Salicide: Table 11-5 p. 700
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
15
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Backend - Chapter 11
Chemical Mechanical Polishing mo e s ave a so een ncorpora e n process s mu a ors. Models for CMP attempt to determine the relative pressure at each point
and then calculate the relative removal rate at each point assuming that itis linearl ro ortional to the local ressure see text .
ATHENA simulation of
1
n s
a) b) c)chemical-mechanicalpolishing of SiO 2 over Al
lines:0
0 20microns
m i c r
0 20microns 0 20microns
.b. after 3 minutes of
polishing;c. after 6 minutes of
po s ng
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
16
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Backend - Chapter 11
Chemical Mechanical Polishing
0
.
m i c r o n s
SiO 2 W
0
.SiO
2W
0 10microns 0 10microns
ATHENA simulation of chemical-mechanical polishing of a tungsten viastructure:
o Left: before polishing;.
Due to the faster polishing of tungsten compared to silicon dioxide andthe semi-rigid pad, dishing of the tungsten plug can result.
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
17
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Backend - Chapter 11
Reflow
Reflow occurs to minimize the total energy of the system. In this case, thesurface energy of the structure is reduced by minimizing the curvature.
ur ace us on s one re ow mec an sm meta s at g .
Atoms will move to regions of lower chemical potential, , which is a functionof the curvature.
where is the per-area surface energy, is the atomic volume of the atom,
s
K
sForce
s
==
s s e curva ure, an s s e eng a ong e sur ace.
The curvature, K, is equal to the inverse of the radius of curvature, R, at thatpoint:
The force acting upon an atom is in the direction away from a point of higher
RK =
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
18
.results.
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Backend - Chapter 11
Reflow (2)R 1 Force
1
2R 2
The surface flux of atoms, F s then equals:
2
2 K DF
ss
s
=
where is the number of atoms per unit area, andDs is the surface diffusivity of the atoms.
initial profile15 min., 800K30 min.60 min.
2.0
1.5
1.0
0.5 t ( m i c r o n s )
(a) initial profile3 min., 800K9 min.18 min.
2.0
1.5
1.0
0.5 t ( m i c r o n s )
(b) Simulations of R. Brain, for reflow
of Cu at 800K for different t renchsizes:
0.0
-0.5
-1.03 4 5 6 7
Width (microns)
H e i g 0.0
-0.5
-1.03 4 5 6 7
Width (microns)
H e i g
o a. 1 x 1 m;o b. 0.5 x 1 m;o c. 0.33 x 1 m; and
initial profile2 min., 800K4 min.8 min.
2.0
1.5
1.0
0.5 h t ( m i c r o n s )
(c) initial profile3 min., 800K12 min.18 min.24 min.
3.0
2.0
1.0 t ( m i c r o n s )
(d)
. .spaced 0.5 m apart .
(parameters given in Table 11.8, p.751, in text.)
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
19
.
-0.5
-1.03 4 5 6 7
Width (microns)
H e i g 0.0
-1.0
2 4 6 8Width (microns)
H e i g Note filling of trenches and
smoothing of topography.
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Backend - Chapter 11
Grain Growth
All materials used for interconnectionsare polycrystalline. That is, they aremade u of re ions of sin le cr stal material where atoms are lined upperfectly that contact irregularly atcrystal grain boundaries.
Grain boundaries may havesignificantly different properties than
the grains. (traps, density, etc.),grows.
Grain growth is similar to reflow.
boundaries, with growth occurringwhere another grain is losing material.
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
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Backend - Chapter 11
Grain Growth Simulations
Normal grain growth with time. Based Grain growth within a strip in time.
on wor y ros an co eagues re erencein the text.
In stead state avera e rain size
The limit to grain growth is related to thestructure. For polycrystalline films growth
roceeds until the avera e rain diameter is
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
21
determined by sqrt(t). approximately 2 to 3 times the film
thickness.
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Backend - Chapter 11
The Future of Backend Technology 2
1+
1
L = . = . I ox o Hx ox + WL S emem er:
Year of Production 1998 2000 2002 2004 2007 2010 2013 2016 2018
MPU Printed Gate Leng th 100 nm 70 nm 53 nm 35 nm 25 nm 18 nm 13 nm 10 nmMin Meta l 1 Pitch (nm) 214 152 108 76 54 42
-
Me tal 1 Aspect Ratio (Cu) 1.7 1.7 1.8 1.9 2.0 2.0
Contact As pec t Ratio (DRAM) 15 16 >20 >20 >20 >20
renc s pec a o . . . . .
Me tal Res istivi ty (ohm-cm) 3.3, 2.2 2.2 2.2 2.2 2.2 2.2 2.2 2.2 2.2
Interlevel Dielectric Constant 3.9 3.7 3.7
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Backend - Chapter 11
Summary of Key Ideas
Backend processing (interconnects and dielectrics) have taken on increasedimportance in recent years.
Interconnect dela s now contribute a si nificant com onent to overall circuit performance in many applications.
Early backend structures utilized simple aluminum to silicon contacts.
e a y ssues, e nee or many eve s o n erconnec an p anar za onissues have led to much more complex structures today involving multilayermetals and dielectrics.
s e mos common panarza on ec nque o ay.
Copper and low-K dielectrics are now found in some advanced chips and theiruse will likely be common in the future.
Beyond these materials changes, interconnect options in the future includearchitectural (design) approaches to minimizing wire lengths, opticalinterconnects, electrical repeaters and RF broadcasting. All of these areas will
SILICON VLSI TECHNOLOGYFundamentals, Practice and ModelingBy Plummer, Deal & Griffin
2000 by Prentice HallUpper Saddle River NJ
see s gn can researc n e nex ew years.
23