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Dopant and Self-Diffusion in Silicon and Silicon Germanium

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Dopant and Self-Diffusion in Silicon and Silicon Germanium Eugene Haller, Hughes Silvestri, and Chris Liao MS&E, UCB and LBNL FLCC Tutorial 4/18/05 – PowerPoint PPT presentation

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Title: Dopant and Self-Diffusion in Silicon and Silicon Germanium


1
Dopant and Self-Diffusion in Silicon and Silicon
Germanium
  • Eugene Haller, Hughes Silvestri, and Chris Liao
  • MSE, UCB and LBNL
  • FLCC Tutorial
  • 4/18/05

2
Outline
  • Motivation
  • Background
  • Ficks Laws
  • Diffusion Mechanisms
  • Experimental Techniques for Solid State Diffusion
  • Diffusion of Si in Stable Isotope Structures
  • Future Work Diffusion of SiGe in Stable Isotope
    Structures
  • Conclusions

3
Motivation
  • Why diffusion is important for feature level
    control of device processing
  • Nanometer size feature control - any extraneous
    diffusion of dopant atoms may result in device
    performance degradation
  • Drain extension Xj lt 10 nm by 2008
  • Extension lateral abruptness lt 3 nm/decade by
    2008
  • Accurate models of diffusion are required for
    dimensional control on the nanometer scale

International Technology Roadmap for
Semiconductors, 2004 Update
4
Semiconductor Technology Roadmap
(International Technology Roadmap for
Semiconductors, 2004 Update)
Difficult Challenges 45nm Through 2010 Summary of Issues
Front-end Process modeling for nanometer structures Diffusion/activation/damage models and parameters including SPE and low thermal budget processes in Si-based substrate, i.e., Si, SiGeC, Ge (incl. strain), SOI, and ultra-thin body devices
Front-end Process modeling for nanometer structures Characterization tools/methodologies for these ultra shallow geometries/junctions and low dopant levels
Front-end Process modeling for nanometer structures Modeling hierarchy from atomistic to continuum for dopants and defects in bulk and at interfaces
Front-end Process modeling for nanometer structures Front-end processing impact on reliability
5
MOSFET Scaling
  • Si1-xGex in the S/D regions will be needed for
    thin-body PMOSFETs in order to
  • enhance mobility via strain
  • lower parasitic resistance
  • S/D series resistance
  • contact resistance
  • ? Si and Ge interdiffusion, as well as B
    diffusion in Si1-xGex and Si must be well
    understood and characterized

Courtesy of Pankaj Kalra and Prof. Tsu-Jae King
6
Ficks Laws (1855)
Ficks 1st Law Flux of atoms
2nd Law
Diffusion equation does not take into account
interactions with defects!
Jout
Jin
-RS
GS
7
Analytical Solutions to Ficks Equations
D constant
- Finite source of diffusing species
Solution Gaussian
- Infinite source of diffusing species
Solution Complementary error function
8
Solutions to Ficks Equations (cont.)
D f (C) Diffusion coefficient as a function of
concentration
Concentration dependence can generate various
profile shapes and penetration depths
9
Solid-State Diffusion Profiles
Experimentally determined profiles can be much
more complicated - no analytical solution
Kennel, H.W. Cea, S.M. Lilak, A.D. Keys, P.H.
Giles, M.D. Hwang, J. Sandford, J.S. Corcoran,
S. Electron Devices Meeting, 2002. IEDM '02,
8-11 Dec. 2002
B implant and anneal in Si with and without Ge
implant
10
Direct Diffusion Mechanisms in Crystalline Solids
(no native defects required)
Pure interstitial
Elements in Si Li, H, 3d transition metals
Direct exchange
No experimental evidence High activation energy ?
unlikely
11
Vacancy-assisted Diffusion Mechanisms
(native defects required)
Vacancy mechanism
(Sb in Si)
Dissociative mechanism
(Cu in Ge)
12
Interstitial-assisted Diffusion Mechanisms
(native defects required)
Interstitialcy mechanism
(P in Si)
Kick-out mechanism
(B in Si)
13
Why are Diffusion Mechanisms Important?
  • Device processing can create non-equilibrium
    native defect concentrations
  • Implantation excess interstitials
  • Oxidation excess interstitials
  • Nitridation excess vacancies
  • High doping Fermi level shift

14
Oxidation Effects on Diffusion
Oxidation during device processing can lead to
non-equilibrium diffusion
  • Oxidation of Si surface causes injection of
    interstitials into Si bulk
  • Increase in interstitial concentration causes
    enhanced diffusion of B, As, but retarded Sb
    diffusion
  • Nitridation (vacancy injection) causes retarded
    B, P diffusion, enhanced Sb diffusion

(Fahey, et al., Rev. Mod. Phys. 61 289 (1989).)
15
Implantation Effects on Diffusion
  • Transient Enhanced Diffusion (TED) - Eaglesham,
    et al., Appl. Phys. Lett. 65(18) 2305 (1994).
  • Implantation damage generates excess
    interstitials
  • Enhance the diffusion of dopants diffusing via
    interstitially-assisted mechanisms
  • Transient effect - defect concentrations return
    to equilibrium values
  • TED can be reduced by implantation into an
    amorphous layer or by carbon incorporation into
    Si surface layer
  • Substitutional carbon acts as an interstitial
    sink
  • Stolk, et al., Appl. Phys. Lett. 66 1371 (1995)

16
Doping Effects on Diffusion
  • Heavily doped semiconductors - extrinsic at
    diffusion temperatures
  • Fermi level moves from mid-gap to near conduction
    (n-type) or valence (p-type) band.
  • Fermi level shift changes the formation enthalpy,
    HF, of the charged native defect
  • Increase of CI,V affects Si self-diffusion and
    dopant diffusion

V states (review by Watkins, 1986)
17
Doping Effects on Diffusion
The change in native defect concentration with
Fermi level position causes an increase in the
self- and dopant diffusion coefficients
18
Experimental Techniques for Diffusion
Creation of the Source
  • Diffusion from surface
  • Ion implantation
  • Sputter deposition
  • Buried layer (grown by MBE)

Annealing
Analysis of the Profile
  • Radioactivity (sectioning)
  • SIMS
  • Neutron Activation Analysis
  • Spreading resistance
  • Electro-Chemical C/Voltage

Modeling of the Profile
  • Analytical fit
  • Coupled differential eq.

19
Primary Experimental Approaches
  • Radiotracer Diffusion
  • Implantation or diffusion from surface
  • Mechanical sectioning
  • Radioactivity analysis
  • Stable Isotope Multilayers new approach
  • Diffusion from buried enriched isotope layer
  • Secondary Ion Mass Spectrometry (SIMS)
  • Dopant and self-diffusion

20
Radiotracer Diffusion
  • Diffusion using radiotracers was first technique
    available to measure self-diffusion
  • Limited by existence of radioactive isotope
  • Limited by isotope half-life (e.g. - 31Si t1/2
    2.6 h)
  • Limited by sensitivity
  • Radioactivity measurement
  • Width of sections

Mechanical/Chemical sectioning
Generate depth profile
Application of radio-isotopes to surface
Concentration (cm-3)
Measure radioactivity of each section
annealing
Depth (?m)
21
Diffusion Prior to Stable Isotope Multilayer
Stuctures
What was known about Si, B, P, and As diffusion
in Si Si self-diffusion interstitials
vacancies known interstitialcy vacancy
mechanism, QSD 4.7 eV unknown contributions
of native defect charge states B interstitial
mediated from oxidation experiments known
diffusion coefficient unknown interstitialcy
or kick-out mechanism P interstitial mediated
from oxidation experiments known diffusion
coefficient unknown mechanism for vacancy
contribution As interstitial vacancy
mediated from oxidation nitridation
experiments known diffusion coefficient
unknown native defect charge states and
mechanisms
22
Stable Isotope Multilayers
  • Diffusion using stable isotope structures allows
    for simultaneous measurements of self- and dopant
    diffusion
  • No half-life issues
  • Ion beam sputtering rather than mechanical
    sectioning
  • Mass spectrometry rather than radioactivity
    measurement

23
Secondary Ion Mass Spectrometry
  • Incident ion beam sputters sample surface - Cs,
    O
  • Beam energy 1 kV
  • Secondary ions ejected from surface (10 eV) are
    mass analyzed using mass spectrometer
  • Detection limit 1012 - 1016 cm-3
  • Depth profile - ion detector counts vs. time
  • Depth resolution 2 - 30 nm

24
Diffusion Parameters found via Stable Isotope
Heterostructures
  • Charge states of dopant and native defects in
    diffusion
  • Contributions of native defects to self-diffusion
  • Enhancement of extrinsic dopant and
    self-diffusion
  • Mechanisms which mediate self- and dopant
    diffusion

25
Si Self-Diffusion
  • Enriched layer of 28Si epitaxially grown on
    natural Si
  • Diffusion of 30Si monitored via SIMS from the
    natural substrate into the enriched cap (depleted
    of 30Si)
  • 855 ºC lt T lt 1388 ºC
  • Previous work limited to short times and high T
    due to radiotracers
  • Accurate value of self-diffusion coefficient over
    wide temperature range

1153 ºC, 19.5 hrs
1095 ºC, 54.5 hrs
(Bracht, et al., PRL 81 1998)
26
Si and Dopant Diffusion
Arsenic doped sample annealed 950 C for 122 hrs
extrinsic
intrinsic
Io I- I--
27
Si and Dopant Diffusion
Arsenic doped sample annealed 950 C for 122 hrs
IoI-I--
28
Si and Dopant Diffusion
Arsenic doped sample annealed 950 C for 122 hrs
IoI-I--
29
Si and Dopant Diffusion
Supersaturation of Io, I due to B diffusion Io
and I mediate Si and B diffusion
Enhancement due to Fermi level effect
  • Diffusion mechanism Kick-out
  • Bi0 ? Bs- I 0 h
  • Bi0 ? Bs- I

30
Si and Dopant Diffusion
Phosphorus Diffusion Model Interstitialcy or
Kick-out mechanism Io, I- Pair assisted
recombination or dissociative mechanism V0
Annealed 1100 C for 30 min
31
Native Defect Contributions to Si Diffusion
(Bracht, et al., 1998)
Diffusion coefficients of individual components
add up accurately
(B diffusion)
(As, P diffusion)
(B, P diffusion)
32
Diffusion in Ge Stable Isotope Structure
Annealed 586 C for 55.55 hours
Ge self-diffusion coefficient determined from
74Ge/70Ge isotope structure
Fuchs, et al., Phys. Rev B 51 1687 (1995)
33
Diffusion in Si1-xGex
  • SiGe is used as new material to enhance
    electronic devices
  • Will face same device diffusion issues as Si
  • Currently, limited knowledge of diffusion
    properties
  • Si1-xGex in the S/D regions will be needed for
    thin-body PMOSFETs in order to
  • enhance mobility via strain
  • lower parasitic resistance
  • S/D series resistance
  • contact resistance
  • ? Si and Ge interdiffusion, as well as B
    diffusion in Si1-xGex and Si must be well
    understood and characterized

T. Ghani et al., 2003 IEDM Technical Digest
Courtesy of Pankaj Kalra and Prof. Tsu-Jae King
34
Diffusion in SiGe Isotope Structures
  • Diffusion of Si in pure Ge
  • Si and Ge self-diffusion in relaxed Si1-xGex
    structures
  • Si and Ge self-diffusion in strained Si1-xGex
    structures
  • Simultaneous Si and Ge dopant and self-diffusion

35
Si Diffusion in Pure Ge
  • Before determination of Si and Ge self-diffusion
    in SiGe can be made must determine Si diffusion
    in Ge and Ge diffusion in Si
  • Large amounts of data on Ge diffusion in Si -
    used as a tracer for Si self-diffusion due to
    longer half-life
  • Much less data on Si diffusion in Ge
  • MBE grown Ge layer
  • 100 nm spike of Si (1020 cm-3)

36
Si Diffusion in Pure Ge
Annealed at 550 C for 30 days
37
Si and Ge Self-DiffusionRelaxed Si1-xGex
Structures
  • Use isotope heterostructure technique to study Si
    and Ge self-diffusion in relaxed Si1-xGex alloys.
    (0.05 x 0.85)
  • No reported measurements of simultaneous Si and
    Ge diffusion in Si1-xGex alloys
  • Proposed isotope heterostructure
  • MBE grown - Group of Prof. Arne Nylandsted
    Larsen, Univ. of Aarhus, Denmark

38
Si and Ge Self-DiffusionStrained Si1-xGex
Structures
  • Study Si and Ge self-diffusion in strained
    Si1-xGex alloys.
  • 0.15 x 0.75
  • Vary composition between layers to generate
  • Compressive strain (x - y lt 0)
  • Tensile strain (x - y gt 0)
  • ?x - y? 0.05

Proposed isotope heterostructure MBE grown -
Group of Prof. Arne Nylandsted Larsen
39
Simultaneous Dopant and Self-Diffusion Si1-xGex
Multilayer Structures
  • Five alternating 28Si1-x70Gex (0.05 x 1) and
    natural Si1-xGex layers with amorphous cap
  • Implant dopants (B, P, As) into amorphous cap
  • Simultaneous Si and Ge self-diffusion and dopant
    diffusion

Proposed isotope heterostructure MBE grown -
Group of Prof. Arne Nylandsted Larsen
40
Conclusions
  • Diffusion in semiconductors is increasingly
    important to device design as feature level size
    decreases.
  • Device processing can lead to non-equilibrium
    conditions which affect diffusion.
  • Diffusion using stable isotopes yields important
    diffusion parameters which previously could not
    be determined experimentally.
  • Technique will be extended to SiGe alloys with
    variation of composition, strain and doping level.
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