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Ion Implantation

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Title: Molecular Dynamics Author: Chi-Ok Hwang Last modified by: Chi-Ok Hwang Created Date: 5/8/2003 1:10:55 AM Document presentation format: – PowerPoint PPT presentation

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Title: Ion Implantation


1
Ion Implantation
  • CEC, Inha University
  • Chi-Ok Hwang

2
Ion Implantation
  • Ion implantation (introduced in 1960s) vs
    chemical diffusion
  • High accuracy over many orders of magnitude of
    doping levels
  • Depth profiles by controlling ion energy and
    channeling effects
  • Dopants into selected regions using masking
    material
  • Both p- and n-type dopants
  • Recovering implant-damaged Si crystalline via
    thermal annealing
  • Definition of ion implantation
  • CMOS energy range 0.2keV-2MeV

3
Ion Implantaion
  • Aspects of ion implantaion dose, dose
    uniformity, profiles (depth distribution),
    damage, damage recovery after annealing
  • Dose
  • Limitations
  • -damage to the material structure of the target
  • -shallow maximum implantation depth (1?)
  • -lateral distribution of implanted species
  • -throughput is typically lower than diffusion
    doping processes

4
Ion Implantation
  • Ion species and substrate
  • Tilt and rotation
  • Ion energy
  • Dose rate
  • Results dopant distribution, defect distribution

5
Ion implantation
6
Ion Implantation
  • Limitations
  • -complex machine operations
  • -safety issue to the personnel
  • Ion implantation profiles
  • -range, R
  • -projected range, Rp
  • -projected straggle, ?Rp
  • -projected lateral straggle, ?R?

7
Ion Implantation
  • Simulation size cascade size (10-25 cm3 (M.-J.
    Caturla etc, PRB 54, 16683, 1996) )
  • - 1000 atoms (J.B. Gibson etc, PR 120(4), 1229,
    1960)
  • - a few hundreds of thousands of atoms (J.
    Frantz etc, PRB 64, 125313 , 2001)
  • Time scales
  • - thermal vibration periods of atoms in solids
    0.1 ps (10-13 sec) or longer
  • - cascade lifetime 10 ps (M.-J. Caturla etc,
    PRB 54, 16683, 1996)
  • - ion implantation (secs annealing time
    secs-mins)
  • Si density 5 x 1022 /cm3 (5.43Å unit cell,
    8/unit cell)
  • ion dose 1014 -1018 ions/cm2

8
Stopping powers
  • Electric fields nuclear charge of the silicon
    atoms (short range interatomic force by screening
    effect, nuclear stopping) and valence electrons
    of the crystal (polarizational force, nonlocal
    electronic force)
  • exchange of electrons with the silicon atoms
    (local electronic stopping)

9
Ion Implantation
  • ion implantation Potential BCA
  • - nuclear stopping power elastic
  • collision
  • Vij(r) Zi Zje2 /r F(r)
  • F(r) screening of the nuclei due to the
  • electron cloud
  • ? Thomas-Fermi
  • ? ZBL universal screening potential
  • - electronic stopping power frictional
  • force
  • ? Stillinger-Weber potential

10
Ion Implantation
  • Simulations of ion implantation
  • - Full MD
  • - Recoil Interaction Approximation (RIA) (1-100
    keV)
  • - BCA valid for low-mass ions at incident
    energies from 1-15 keV (M.-J. Caturla, etc, PRB
    54, 16683, 1996)

11
Ion Implantation
  • Three phases of collision cascade
  • - collisional phase (0.1-1 ps)
  • - thermal spike (1 ns)
  • - relaxation phase (a few thousands of fs)
  • Measurements of depth profiling
  • - Rutherford Backscattering Spectroscopy (RBS)
  • - Secondary Ion Mass Spectroscopy (SIMS)
  • - (Energy-Filtered) Transmission Electron
    Microscopy ((EF)TEM)

12
BCA
  • Primary recoil atoms,
  • Binary scattering tables described by specifying
    the species involved in the collision, the impact
    parameter, and the ion energy
  • Assuming that the potential energy of the ion at
    the start of the collision is negligible compared
    to its kinetic energy
  • Neglecting multi-body interactions

13
Kinchin-Pease Model
  • Damage model damage generation, damage
    accumulation, defect encounters, amorphization
  • Number of Frenkel pairs proportional to the
    nuclear energy loss
  • Nuclear energy loss is deposited locally and
    induces local defects
  • Holds only when the secondary ions energy is
    relatively low
  • The percentage of the interstitials and vacancies
    surviving the recombination decreases as the
    implant energy increases

14
Kinchin-Pease Model
Number of point defects
Ed displacement threshold energy (15 eV)
Net increase of point defects
N local defect density Na critical defect
density for amorphization f fraction of defects
surviving the recombination within one recoil
cascade
15
Kinchin-Pease Model
Damage dechanneling defect encounter probability
Amorphization the critical density is taken to
be 10 of the lattice Density for all implant
species
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