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    1. Introduction and application.

    2. Dopant solid solubility and sheet resistance.

    3. Microscopic view point: diffusion equations.

    4. Physical basis for diffusion.

    5. Non-ideal and extrinsic diffusion.

    6. Dopant segregation and effect of oxidation.

    7. Manufacturing and measurement methods.

    Chapter 7 Dopant Diffusion

    1

    NE 343: Microfabrication and thin film technologyInstructor: Bo Cui, ECE, University of Waterloo; http://ece.uwaterloo.ca/~bcui/Textbook: Silicon VLSI Technology by Plummer, Deal and Griffin

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    Base Emitter Collector

    p

    p

    n+n-p+ p+

    n+ n+

    BJT

    p well

    NMOS

    Doping in MOS and bipolar junction transistors

    Doping is realized by: Diffusion from a gas, liquid or solid source, on or above surface. (no longer popular) Ion implantation. (choice for todays IC) Nowadays diffusion often takes place unintentionally during damage annealing Thermal budget thus needs to be controlled to minimize this unwanted diffusion.

    2

    In this chapter, diffusion means two very different concepts: one is to dope the substrate fromsource on or above surface the purpose is doping; one is diffusion inside the substrate thepurpose is re-distribute the dopant.

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    Doping profile for a p-n junction

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    Diffusion from gas, liquid or solid source

    Pre-deposition (dose control) Drive-in (profile control)

    Silicon dioxide is used as a mask against impurity diffusion in Silicon. The mixture of dopant species, oxygen and inert gas like nitrogen, is passed over the

    wafers at order of 1000 oC (900 oC to 1100 oC) in the diffusion furnace. The dopant concentration in the gas stream is sufficient to reach the solid solubility

    limit for the dopant species in silicon at that temperature. The impurities can be introduced into the carrier gas from solid (evaporate), liquid

    (vapor) or gas source.

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    Pre-deposition

    Drive-in

    Comparison of ion implantation with solid/gas phase diffusion

    6

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    1. Introduction and application.

    2. Dopant solid solubility and sheet resistance.

    3. Microscopic view point: diffusion equations.

    4. Physical basis for diffusion.

    5. Non-ideal and extrinsic diffusion.

    6. Dopant segregation and effect of oxidation.

    7. Manufacturing and measurement methods.

    Chapter 7 Dopant Diffusion

    NE 343 Microfabrication and thin film technologyInstructor: Bo Cui, ECE, University of WaterlooTextbook: Silicon VLSI Technology by Plummer, Deal and Griffin

    7

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    Dopant solid solubility

    Solid solubility: at equilibrium, the maximum concentration for an impuritybefore precipitation to form a separate phase.

    Figure 7-4 8

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    Solid solubility of common impurities in Silicon

    9

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    Solubility vs. electrically active dopant concentration

    Not all impurities are electrically active.

    As has solid solubility of 2 10 21 cm -3.

    But its maximum electrically active dopant concentration is only 2 10 20 cm -3 .

    V: vacancyFigure 7-5

    10

    As insubstitutionalsite, active

    Inactive

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    Resistance in a MOS

    For thin doping layers, it is convenient to find the resistance from sheet resistance .

    Figure 7-1

    11

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    Al

    R

    A

    l

    jS x

    R R

    w x j

    jS x R

    Sheet resistance R S

    : (bulk) resistivity

    x j: junction depth, or film thickness

    wl R

    wl

    xwxl

    Al R S

    j j

    R=Rs when l=w (square)

    Figure 7-2

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    Ohms law: Mobility :

    By definition:

    Therefore:

    Finally:

    Where:

    E J

    pn pnq

    J E E v

    nh vnv pq J

    xnx

    x

    hxnh

    E vn

    E v pq

    E vn

    E v pq

    x

    hx p E

    v x

    nxn E

    v

    Important formulas

    : conductivity; : resistivity; J: current density; E: electrical fieldv: velocity; q: charge; n, p: carrier concentration.

    13

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    Sheet resistance

    Qq Nxq x x R

    j j jS

    111

    N is carrier density, Q is total carrier per unit area, x j is junction depth

    j x

    B j j

    S

    dx xn N xnq x x

    R

    0

    11

    For non-uniform doping:

    This relation is calculated to generate the so- called Irvins curves.See near the end of this slide set.

    14

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    1. Introduction and application.

    2. Dopant solid solubility and sheet resistance.

    3. Microscopic view point: diffusion equations.

    4. Physical basis for diffusion.

    5. Non-ideal and extrinsic diffusion.

    6. Dopant segregation and effect of oxidation.

    7. Manufacturing and measurement methods.

    Chapter 7 Dopant Diffusion

    NE 343 Microfabrication and thin film technologyInstructor: Bo Cui, ECE, University of WaterlooTextbook: Silicon VLSI Technology by Plummer, Deal and Griffin

    15

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    Diffusion from a macroscopic viewpoint

    Ficks first law of diffusion

    F is net flux.

    x

    t xC Dt x F

    ,,

    C is impurity concentration (number/cm 3), D is diffusivity (cm 2/sec).

    D is related to atomic hops over an energy barrier (formation and migration of mobile

    species) and is exponentially activated.

    Negative sign indicates that the flow is down the concentration gradient.

    This is similar to other lawswhere cause is proportional toeffect (Fouriers law of heat flow, Ohms law for current flow).

    Figure 7-6

    16

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    A

    x At xC t t xC ,,

    t At x F t x x F t At x x F t x F ,,,,

    t At x F t x x F x At xC t t xC ,,,,

    Ficks second law

    The change in concentration in a volume elementis determined by the change in fluxes in and outof the volume.Within time t, impurity number change by:

    During the same period, impurity diffuses in andout of the volume by:

    Therefore:

    Or,

    Since:

    We have:

    x

    t x F

    t

    t xC ),(),(

    x

    t xC Dt x F

    ,,

    x

    t xC D

    x xt x F

    t t xC ,,,

    If D is constant:

    2

    2 ,,

    x

    t xC D

    t

    t xC

    Figure 7-7

    18

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    x

    C I=0

    C*C s

    Cg

    SiO 2 Si

    022

    xC D

    t C bxaC

    Solution to diffusion equation

    2

    2 ,,

    x

    t xC D

    t

    t xC

    At equilibrium state, C doesnt change with time.

    Diffusion of oxidant (O 2 or H2O)through SiO 2 during thermaloxidation.

    19

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    Gaussian solution in an infinite medium

    C 0 as t 0 for x>0

    C as t 0 for x=0C(x,t)dx=Q (limited source)

    This corresponds to, e.g. implant a verynarrow peak of dopant at a particular depth,which approximates a delta function.

    Dt x

    t C Dt x

    Dt Q

    t xC 4exp,04exp2,

    22

    Important consequences: Dose Q remains constant Peak concentration (at x=0) decreases as 1/ t Diffusion distance from origin increases as 2 Dt

    Figure 7-920

    At t=0, deltafunction dopantdistribution.

    At t>0

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    21

    Dt

    x

    Dt

    Qt xC

    4exp,

    2

    Gaussian solution near a surface

    A surface Gaussian diffusion can betreated as a Gaussian diffusion withdose 2Q in an infinite bulk medium.

    Note: Pre-deposition by diffusion can alsobe replaced by a shallow implantation step.

    1. Pre-depositionfor dose control

    2. Drive in forprofile controlFigure 7-10

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    22

    Dt C

    Q Dt

    C C

    Dt x

    B

    T

    B

    s j

    ln2

    ln2

    Dt

    Qt C C T S

    ,0

    t xC Dt x

    xt xC ,

    2,

    B

    s

    j

    B

    x C C

    xC

    xt xC

    j

    ln2,

    Gaussian solution near a surface

    Surface concentration

    decreases with time

    Concentration gradient

    Junction depth At p-n junction

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    Error function solution in an infinite medium

    An infinite source of material in the half-plane can be considered to be made up of a sum of Gaussians. The diffused solutionis also given by a sum of Gaussians,known as the error-function solution.

    This corresponds to, e.g. putting athick heavily doped epitaxial layer on a

    lightly doped wafer.At t=0C=0 for x>0C=C for x

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    Error function solution in an infinite medium

    Evolution of erfc diffused profile

    Important consequences of error function solution: Symmetry about mid-point allows solution for constant surface concentration to be derived. Error function solution is made up of a sum of Gaussian delta function solutions. Dose beyond x=0 continues to increase with annealing time.

    Figure 7-12

    24

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    Error function solution in an infinite medium

    Properties of Error Function erf(z) and Complementary Error Function erfc(z)

    x x

    2)(erf For x > 1

    00erf

    1erf

    x

    duu x0

    2-exp2

    erf

    2exp2erf xdx

    xd

    22

    2

    exp4erf

    x xdx xd

    x

    du-u x x 2exp2erf 1erfc

    0

    1)(erfc

    dx x

    10erfc

    0erfc

    25

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    Boundary condition: C(x,0)=0, x 0; C(0,t)=C s; C( ,t)=0

    Error function solution near a surfaceConstant surface concentration at all times, corresponding to, e.g., the situation of diffusion from a gas ambient, where dopants saturate at the surface (solid solubility).

    Constant 1/2

    Dt x

    u s s due

    C

    Dt

    xC t xC

    2

    22

    2erfc,

    0

    2

    2erfc Dt

    C dx

    Dt x

    C Q s s

    Pre-deposition dose

    Cs is surface concentration,limited by solid solubility,which doesnt change toofast with temperature.

    26

    S i diff i

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    Dt tot D ii

    t i

    Successive diffusions Successive diffusions using different times and temperatures Final result depends upon the total Dt product

    neff t t t D Dt ...21 ..... .

    1

    221112211

    D D

    t Dt Dt Dt D Dt eff

    When D is the same (same temperature)

    When diffused at different temperatures

    As D increases exponentially with temperature, total diffusion (thermalbudget) is mainly determined by the higher temperature processes.

    For example, the profile is a Gaussianfunction at time t=t 0, then after furtherdiffusion for another 3t 0, the final profile isstill a Gaussian with t=4t 0=t0+3t 0.

    (The Gaussian solution holds only if the Dt used tointroduce the dopant is small compared with thefinal Dt for the drive-in i.e. if an initial /deltafunction approximation is reasonable)

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    j x

    B

    j jS

    dx xn N xnq x x

    R

    0

    11

    Irvins curves Motivation to generate Irvins curves: both N B (background carrier concentration), R s (sheet resistance) and x j can be conveniently measured experimentally but not N 0 (surfaceconcentration). However, these four parameters are related by:

    Irvins curves are plots of N 0 versus (R s, x j) for various N B, assuming erfc or half-Gaussianprofile. There are four sets of curves for (n-type and p-type) and (Gaussian and erfc).

    j x

    j

    dx x x 0

    1

    1-

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    Irvins curves

    Four sets of curves: p-type erfc, n-type erfc, p-type half-Gaussian, n-type half-Gaussian

    Explicit relationship between: N 0, x j, NB and R S.

    Once any three parameters are know, the fourth one can be determined.

    Figure 7-17

    1-

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    ExampleDesign a boron diffusion process (say for the well or tub of a CMOS process) such that

    s=900 /square, x j=3 m, with C B=1 10 15 /cm 3.

    From (half- Gaussian) Irvins curve, we find Cs

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    Dt x

    Dt Q

    t xC 4exp,

    2

    29

    15

    17

    242

    cm107.3

    10104

    ln4

    103

    ln4

    B

    s

    j

    C C

    x Dt

    Dt

    xC C

    j s B 4exp

    2

    Example (cont.)

    hours8.6seccm105.1

    cm107.3 21329

    indrivet

    213917 cm103.4107.3104 Dt C Q s

    Assume drive-in at 1100 oC, then D=1.5 10 -13cm 2/s.

    Pre-deposition dose

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