Growth of Giant Magnetoresistance Multilayers: Effects of Processing Conditions During Radio Frequency Diode Deposition

Growth of giant magnetoresistance multilayers: Effects of processing
conditions during radio-frequency diode deposition
W. Zou,a) H. N. G. Wadley, and X. W. Zhou
Department of Materials Science and Engineering, University of Virginia, Charlottesville, Virginia 22903
S. Ghosal and R. Kosut
SC Solutions, Santa Clara, California 95054
D. Brownell
Nonvolatile Electronics, Inc., Eden Prairie, Minnesota 55344
共Received 8 February 2001; accepted 29 May 2001兲
The magnetotransport properties of giant magnetoresistance multilayers are significantly effected by
the atomic-scale structure of the interfaces between the nonferromagnetic conducting and
ferromagnetic 共FM兲 metal layers. The interfacial roughness and the extent of intermixing at these
interfaces are both known to be important. A combination of experimental and multiscale modeling
studies have been used to investigate control of interface structure during multilayer growth by rf
diode deposition and the consequences of such control for magnetotransport. Experiments were
conducted to evaluate the dependence of the magnetotransport properties of NiFeCo/CoFe/CuAgAu
multilayers upon the growth conditions 共background pressure, input power兲, and to link the
roughness of vapor-deposited copper layers to the same process parameters. These experimental
studies reveal the existence of intermediate background pressure 共20 mTorr兲 and plasma power 共175
W兲 that resulted in the highest magnetoresistance and a strong sensitivity of copper layer surface
roughness to both the power and pressure at which deposition was conducted. By using a
combination of modeling technologies, the deposition process conditions have been linked to the
atomic fluxes incident upon the sample surface. This was then used to determine the atomic-scale
roughness of the film. Energetic metal atoms 共and inert gas ions兲 were found to have very strong
effects upon interfacial structure. The models revealed an increase in interfacial roughness when
metal 共or inert gas ion兲 translational energy was decreased by either reducing the plasma power
and/or increasing the background pressure. Because high-energy metal impacts activated atomic
jumping near the impact sites, high plasma power, low background pressure process conditions
resulted in the smoothest interface films. However, these conditions were also conducive to more
energetic Ar⫹ ion bombardment, which was shown by molecular dynamics modeling to induce
mixing of the FM on the copper interface. Intermediate plasma powers/background pressures result
in the most perfect interfaces and best magnetotransport. The insights gained by the modeling
approach indicate a need to avoid any energetic ion bombardment during the early growth stages of
each new layer. This could be accomplished by operating at low power and/or high pressure for the
first few monolayers of each layer growth and may provide a growth strategy for further
improvement in magnetotransport performance. © 2001 American Vacuum Society.
关DOI: 10.1116/1.1387051兴
I. INTRODUCTION
Giant magnetoresistance 共GMR兲 metal multilayers consisting of alternating ferromagnetic and nonferromagnetic
layers can exhibit large changes in their electrical resistance
when a magnetic field is applied.1–10 Though the phenomenon was only discovered about 12 years ago, it has become
the basis for a growing number of important technological
applications. For example, multilayers based upon NiFeCo/
CoFe/CuAgAu/CoFe/NiFeCo are used for magnetic-field
sensors,4,6 and related devices are being investigated for
magnetic random access memories 共MRAM兲.8 GMR-based
MRAM has many potentially attractive features, including
nonvolatility, low-power consumption, and high access
a兲
Electronic mail: [email protected]
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J. Vac. Sci. Technol. A 19„5…, SepÕOct 2001
speed. Both classes of applications have motivated interest in
the design of economical vapor deposition processes that can
produce thermally stable GMR devices with high GMR ratios 共defined as the maximum resistance change divided by
the resistance at magnetic saturation兲 and low magnetic saturation fields.
The best GMR multilayers appear to require the growth of
metal multilayers with well-controlled interfaces.1–3,10–13 Interfacial roughness results in Néel coupling, electron scattering, and weakened antiferromagnetic coupling, which are all
deleterious to the GMR properties.2,5 Interfacial 共chemical兲
mixing results in dead 共nonmagnetic兲 layers at the ferromagnetic 共FM兲–nonmagnetic metal spacer layer interfaces, reduced FM layer exchange coupling, and reduced GMR
properties.2,5
0734-2101Õ2001Õ19„5…Õ2414Õ11Õ$18.00
©2001 American Vacuum Society
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FIG. 1. Schematic illustration of rf diode sputter deposition. The target’s
plasma sheath potential accelerates positively charged working gas ions towards the target. The resulting energetic ion collisions with the target cause
ejection of target atoms. These atoms undergo collisions with working gas
atoms and they diffuse to the substrate where they condense. Some positive
ions also impact the substrate because of a 共usually small兲 substrate sheath
potential.
Recent atomistic modeling studies have shown that interfacial structural imperfections are effected by the depositing
vapor atom’s incident energy, the deposition rate, and the
characteristics of other 共e.g., inert gas ion兲 fluxes incident
upon the substrate.9–13 Since these are governed by the deposition process and process conditions, the magnetotransport
properties are expected to depend upon the method and conditions used for device growth by vapor deposition.2,14–17
Here, we experimentally investigate the dependence of
the magnetotransport properties upon the background pressure and input plasma power during the growth of a GMR
sensor multilayer system. A simplified multiscale modeling
approach is used to relate these conditions to the atomic
fluxes incident upon the growth surface.9–12 Atomistic modeling is then used to investigate the atomic assembly mechanisms during film growth as a function of growth conditions.
The dependence of interfacial roughness and mixing upon
the growth conditions is identified and compared with ex-
FIG. 2. Definitions of sheath and bias voltage in an asymmetric rf
diode discharge.
JVST A - Vacuum, Surfaces, and Films
FIG. 3. GMR multilayer structure studied here. Layer compositions and
thickness are shown. Arrows indicate the magnetic alignment of the ferromagnetic alloy layers.
FIG. 4. Schematic diagram of the internal layout of the rf diode sputtering
deposition chamber used to growth metal multilayers.
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FIG. 5. Dependence of deposition rate for the four targets, 共a兲 shows the effect of the background pressure at a fixed input power 共175 W兲, and 共b兲 shows the
effect of the input power at a fixed background pressure.
perimentally measured performance of the devices. The
study supports the developing view that no existing vapor
deposition technology is ideally suited to the growth of GMR
multilayers. The modeling aided insights developed here are
used to suggest alternative growth strategies for the growth
of improved GMR materials.
II. EXPERIMENTS
The study here focused upon the influence of input
plasma power and the background gas pressure on the GMR
ratio and the saturation magnetic field of rf diode deposited
GMR multilayers. A schematic diagram of a rf diode sputter
deposition system with a plane parallel electrode geometry is
shown in Fig. 1. An inert gas 共argon兲 plasma is initiated and
maintained between the target and the substrate by the rf
power source. In the rf discharge, electrons respond more
rapidly to the changing electrical field and tend to flow from
the plasma to adjacent conducting surfaces at a faster rate
than the ions. Plasma potentials are, therefore, developed at
both the target and the substrate. The positive working gas
FIG. 6. Dependence of magnetotransport properties upon 共a兲 and 共b兲 the
background
pressure
and
共c兲 and 共d兲 the input power for multilayers with a fixed CuAgAu layer
thickness of 16 Å.
J. Vac. Sci. Technol. A, Vol. 19, No. 5, SepÕOct 2001
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FIG. 7. Simplified flow chart for a multiscale simulation that links the reactor geometry and process conditions to the surface morphology and structure
of a vapor deposited film.
ions are accelerated across these sheath potentials to strike
both the target and the substrate. The magnitude of the
sheath potentials differs in an asymmetric discharge. The
voltage drops across the sheaths are inversely related to the
sheath capacitances, and thus the substrate and target areas.
A bias voltage, therefore, exists, as shown in Fig. 2. As a
consequence, one observes that the bombarding ion energy at
the typically larger area substrate electrode is less than that at
a smaller target electrode.
The Ar⫹ ions accelerated across the target sheath bombard the target surface and result in sputtering of metal atoms
from the target. These sputtered atoms are then transported
to the substrate and deposited. The system geometry, the rf
power applied to the plasma, and background pressure determine the energies and fluxes of the ions incident upon the
target. These, together with the properties of the target, determine the energy, angular distribution, and flux of the atoms emitted from the target. Scattering of the sputtered
metal atoms by working gas atoms during diffusional transport to the substrate modifies these quantities. The final energy and angular distributions of the metal atoms incident
upon the substrate, therefore, depend on the target-tosubstrate distance, the working gas type, rf power, and background pressure. Working gas ions are also accelerated
JVST A - Vacuum, Surfaces, and Films
FIG. 8. Comparison of the plasma model predicted and the measured
bias voltage as a function of 共a兲 the background pressure, and 共b兲 the
input power.
across the substrate sheath and strike the substrate with the
energies in the 40–140 eV range.11,12 The energy and flux of
both the metal and argon ions as they strike the substrate can
have potentially important effects upon the resulting GMR
properties.1–13
To evaluate the significance of these effects, GMR multilayers were grown at Nonvolatile Electronics, Inc., 共NVE兲
共Eden Prairie, MN兲. The architecture and composition of the
antiferromagnetic coupled multilayers are shown in Fig. 3. A
Randex model 2400-6J rf diode system was used to deposit
the metal films. Figure 4 shows the internal layout of the rf
diode sputtering deposition chamber. The diameter of the
targets was 20.32 cm, and the distance between substrate and
target was 3.81 cm. Four different composition targets were
installed in the chamber. 4-in.-diam silicon wafers were used
for the substrates. An amorphous 2000 Å Si3N4 film was
grown on top of each wafer using a chemical-vapor-
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FIG. 9. Plasma model results. Effect of
pressure upon 共a兲 the argon ion current
density, and 共b兲 the ion energy. Effect
of power upon 共c兲 the argon ion current density, and 共d兲 the ion energy.
Results are shown for just above both
the sputtering target and the substrate
surface.
deposition method. The Si3N4 film acted as an electrically
insulating and diffusion inhibiting layer between the silicon
wafer and the subsequently deposited metal film. The rms
roughness of the Si3N4 film was 1.5 Å.
The deposition rate and composition for each target under
the different deposition conditions had been measured previously and are shown in Fig. 5. A 40 Å Ta seed layer was
deposited at 20 mTorr and 175 W on the substrate prior to
the start of multilayer growth 共deposition rate was 104.5
Å/min兲. Over most of the pressure range studied, the deposition rate decreased slightly with background pressure, Fig.
5共a兲. The deposition rate increased with input power. Figure
5共b兲 shows that the variation was almost linear. The layer
thicknesses were, therefore, controlled by timing the deposition. The substrate was then moved under each target to deposit a multilayer structure. Figure 6 shows the dependence
of the measured GMR ratio and saturation magnetic field
(H 90) upon the background pressure and input power. The
maximum GMR ratio was achieved at an intermediate background pressure 共20 mTorr兲 and input power 共175 W兲. The
saturation magnetic field (H 90) of this condition 共20 mTorr
and 175 W兲 was also moderate and reasonably well suited
for magnetic sensing applications.
been used to explore the origin of the relationships between
the experimental observations and growth conditions. The
details of the approach are described in Refs. 11, 12, and 13.
A CFD analysis of the reactor yielded the velocity and pressure distribution of the argon working gas flow in the sputtering chamber and, in particular, between the target and the
substrate. A one-dimensional plasma model was used to deduce the bias voltage, the argon ion energy, and flux incident
upon both the target and the substrate.11,12,16 Results of a
three-dimensional 共3D兲 MD analysis of sputtering18–21 were
used to quantify the yield, the energy, and the angular distributions of the copper atoms sputtered from the target by
argon ion impact. A DSMC atom transport model was then
used to track 共by analyzing binary collisions between the
metal and the background gas atoms兲 the propagation of
metal atoms from the target to the substrate. This enabled
calculation of their incident energy and angle as a function of
working gas pressure, spacing, temperature, and the plasma
power.15,17 The outputs of these transport calculations were
finally used as inputs in a two-dimensional 共2D兲 KMC model
recently developed to simulate the atomic assembly 共and
thus structure兲 of a film as a function of the process
conditions.22–26
III. MULTISCALE MODELING
IV. SIMULATION RESULTS
A multiscale modeling approach, Fig. 7, has been used to
investigate the origin of the GMR dependence upon process
conditions and to investigate deposition strategies for interface morphology control.11–13 A combination of computational fluid dynamics 共CFD兲, plasma dynamics, molecular
dynamics 共MD兲, direct simulation Monte Carlo 共DSMC兲 vapor transport, and kinetic Monte Carlo 共KMC兲 models has
Figure 8 shows a comparison between the measured and
plasma model simulated bias voltage 共i.e., the magnitude of
the difference between the two sheath voltages兲, as a function of the background pressure and input power during
deposition of copper film. Good agreement between the
simulations and the experimental measurements performed
with the NVE rf diode sputtering chamber was obtained.
J. Vac. Sci. Technol. A, Vol. 19, No. 5, SepÕOct 2001
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Zou et al.: Growth of giant magnetoresistance multilayers
FIG. 10. Model predicted average energy of copper atoms and argon ions
incident upon the substrate. 共a兲 shows the effect of background pressure at a
fixed input power 共175 W兲, and 共b兲 shows the effect of input power at a
fixed background pressure of 20 mTorr.
Figures 9共a兲 and 9共b兲 show the pressure dependence of the
Ar⫹ ion current densities 共or ion flux兲 and the ion energy at
both electrodes computed using the plasma model. The energy and ion flux at the target are seen to be about a factor of
10 higher than those at the substrate. Even so, significant ion
fluxes with energies in the 50–100 eV range impact the substrate under the conditions used to grow the GMR films. The
energy of the ions at both electrodes decreased sharply with
pressure. However, the Ar⫹ ions fluxes at both electrodes are
seen to rise slightly as the pressure increased from 10 to 50
mTorr. The reason for the decrease in ion energy with pressure resulted from more collisions between ions and working
gas across the target sheath. The collision frequency also
increased with the pressure, and therefore, the probability of
argon gas ionization ratio also increased. Figures 9共c兲 and
9共d兲 show that increasing the input power also significantly
increases the Ar⫹ ion current density 共flux兲 and energy. The
energy of the Ar⫹ ion was governed by the voltage at the
sheath, which is proportional to the input power. The results
also show that the energy of the Ar⫹ ions at the substrate was
JVST A - Vacuum, Surfaces, and Films
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much smaller than the Ar⫹ ion energy at the target. The ion
flux increased 2.5 times as the power was increased from 50
to 350 W. Typically, the ion flux impacting the substrate was
about a tenth of that impacting the target.
A DSMC transport model was used to track the paths of
representative sputtered atoms of specified energy and emission direction as they propagated through the background
gas. This enabled the likehood that an atom reached the substrate to be determined together with atoms incident energy
and the incident angle. More than 10 000 atoms were analyzed to obtain statistical representations of these data. The
sputtered atom average energy was then deduced at a fixed
distance 共3.81 cm兲 from the target for different chamber
pressures and input powers. The energy of sputtered copper
atoms after propagating from the target to substrate are
shown in Fig. 10, together with that for the Ar⫹ ion. The gas
pressure controlled the frequency of argon atom collisions
with sputtered atoms as they traveled from the target to the
substrate. The number of collisions was proportional to the
pressure, since these collisions transfer energy from hot copper atoms to the thermalized argon gas. This leads to a reduction in both copper atom kinetic energy and deposition
efficiency as the gas pressure increases, Fig. 10共a兲. It is also
noted that the Ar ion flux incident upon the substrate also has
an incident energy that drops sharply with background pressure. The power dependence of the copper atom and Ar⫹ ion
energies are shown in Fig. 10共b兲. The copper atoms’ energy
rose weakly with power because of the rise of the emitted
atom energy with power was overcome by energy transfer to
the working gas during transport to the substrate.
The metal flux, its energy, and incident angle distributions
were used as inputs in a 2D KMC model to predict surface
morphology of copper film, see Figs. 11 and 12.22–25 The
KMC model implements hot atom effects 共reflection, resputtering, bias, and athermal diffusion兲 deduced from MD calculations and is described in Ref. 22–25. The KMC analysis
reveals that the roughness of copper films increased as the
plasma power was decreased and/or the background pressure
was increased and was corroborated by atomic-force microscopy images of copper films. To compare trends, we normalized the experimental and simulated data by dividing by the
first data point of each data set. Figure 13 shows that the
normalized roughness deduced from experiments and by
simulation had a similar dependence upon the power and
pressure used during deposition.
The modeling of copper deposition indicates that under
the conditions that led to a maximum GMR ratio 共20 mTorr/
175 W兲, the copper atoms were effectively thermalized.
Thermally activated atom hopping was the principle mechanism of film growth when the power was low and/or the
pressure was high. The initial rise in the GMR ratio with
power is in part a result of the surface smoothing associated
with more energetic metal atom impacts. The drop in GMR
as the pressure is increased beyond 20 mTorr also is linked
to a reduction in surface mobility as metal atom energy decreases. However, the occurrence of a peak followed by a
reduction in the GMR ratio by further increasing the plasma
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FIG. 11. Comparison of simulated and atomic-force microscopy results for copper surface roughness for different input power values at a fixed background
pressure of 20 mTorr. Also shown are the deposition rate, average copper atom energy, and substrate temperature. These values were used in the KMC
simulation shown on the left.
power cannot be explained by a metal impact energy mechanism. The most likely cause for the reduction in the GMR
ratio appears to be related to changes in the Ar⫹ ion flux and
impact energy at the substrate.
A 3D MD model was used to explore the effect of Ar⫹
ion impacts with a model interface as a function of the ion
J. Vac. Sci. Technol. A, Vol. 19, No. 5, SepÕOct 2001
energy 共and, therefore, process conditions兲. Details of the
method can be found in Refs. 18–21. The model geometry is
shown in part 共a兲 of Fig. 14. The light and dark balls in the
Fig. 14 represent copper and cobalt atoms, respectively. The
substrate is copper, which contains 120 共224兲 planes in the y
direction, 12 共111兲 planes in the z direction, and 52 共220兲
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FIG. 12. Comparison of simulated and atomic-force microscopy results for copper surface roughness for different background pressure values at a fixed input
power of 175 W. Also shown are the deposition rate, average copper atom energy, and substrate temperature. These values were used in the KMC simulation
shown on the left.
planes in the x direction. An array of cobalt pyramids was
constructed on the copper surface to simulate cobalt island
nucleation. To minimize the effects of the small crystal size,
periodic boundary conditions were used. A fixed boundary
condition was applied to the lowest monolayer of atoms to
avoid translation. The temperature of the three layers above
JVST A - Vacuum, Surfaces, and Films
this fixed layer was kept at a fixed substrate temperature of
300 K using a thermostat algorithm. 150 Ar⫹ ions then bombarded the surface at a normal incident angle. Figure 14
shows that this resulted in significant smoothing and intermixing of the copper and cobalt by an exchange mechanism
analogous to that described in Ref. 20. The modeled depen-
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FIG. 14. Simulated surface morphology following 150 argon ion impacts.
The initial configuration 共a兲 consisted of cobalt atom clusters on a perfect
关111兴 copper crystal. Ion impacts results in smoothing of the clusters and
alloying 共intermixing兲 by an exchange mechanism. The extent of both the
smoothing and intermixing depends upon the energy of the argon ions,
which is governed by process conditions. The energy values were deduced
from the plasma model.
FIG. 13. Normalized roughness as a function of 共a兲 background pressure,
and 共b兲 input power.
dence of intermixing upon the input power and the background pressure is shown in Fig. 15. The results indicate that
significant intermixing 共alloying兲 of cobalt atoms in the copper occurs, and that it increased with increasing ion impact
energy, which in turn depended upon the process power/
pressure. As a consequence, the intermixing fraction decreased with increasing background pressure and/or decreasing input power. Intermixing results in a dead magnetic layer
at the nonmagnetic and ferromagnetic interface, which can
contribute to a reduction in GMR properties.2
By combining the simulations of roughening and intermixing, Fig. 16, it can be seen that the existence of a GMR
ratio maximum 共at 175 W/20 mTorr兲 results from the competing effects of increased adatom surface mobility induced
flatting and ion impact induced intermixing as either the
power increase or pressure decrease. The latter dominates at
high power/low pressure and results in a loss in GMR ratio.
Likewise, the former is promoted by high power and low
pressure. The highest GMR ratio was obtained under conditions when some energetic adatom 共and ion兲 smoothing occurred with minimal intermixing.
Simulations of metal deposition 共with no Ar⫹ ion bombardment兲 have suggested processes that reduce both the inJ. Vac. Sci. Technol. A, Vol. 19, No. 5, SepÕOct 2001
terfacial roughness and the chemical intermixing, which has
led to a proposed energy modulated deposition
technology.18,19,20 During an energy modulated method, low
incident metal atom energies are used to deposit the first few
monolayers of each new metal layer and higher energies are
used for the reminder of the layer. This strategy was found to
result in an optimal combination of interfacial roughness and
interfacial mixing. In rf diode sputtering, a modulated Ar⫹
ion energy deposition could be implemented by using low
power and/or high pressure 共low Ar⫹ ion energy兲 growth for
several angstroms of each metal layer 共with reduced intermixing兲 and using high power and/or lower pressure 共high
Ar⫹ ion energy兲 for growth of the remaining layer 共with
smooth interface兲. Such a modulated plasma power and/or
pressure strategy may significantly improve the performance
of giant magnetoresistive multilayers grown by rf diode sputter deposition.
V. SUMMARY
Multilayers grown by rf diode deposition are found to
exhibit a maximum GMR ratio when grown at intermediate
pressure and plasma power 共175 W/20 mTorr兲. This is
thought to be linked to the interface structure of the CoFe on
CuAgAu interface. A combination of surface characterization and modeling methods has been used to analyze the rf
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FIG. 15. Simulation predicted intermixing as a function of 共a兲 the background pressure, and 共b兲 the input power.
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FIG. 16. Best compromise that results in least surface roughness, and interface mixing corresponds to the pressure and power conditions that result in
the highest GMR ratio 关see Figs. 6共a兲 and 6共c兲兴.
ACKNOWLEDGMENTS
diode deposition of metal multilayers. As the pressure is decreased or the power increases from the optimum 共20 mTorr/
175 W兲, measurements of the copper layer deposition and
calculations indicate a rise in the copper atom’s impact energy, which induces significant copper surface flattening.
This is also accompanied by a sharp rise in the impact energy
of Ar⫹ ions, which also contribute to smoothing. MD calculations show that their impact also causes alloying of the
cobalt on the copper interface 共by an impact exchange process兲. This mixing becomes more severe as the impact energy increases. An optimal combination of smoothing and
mixing is achieved at intermediate background pressure and
plasma power. Since mixing is more difficult after several
monolayers of CoFe have been deposited, the use of low
power to deposit the 50% of the CoFe on Cu layer followed
by higher power for its completion may result in improved
GMR devices.
JVST A - Vacuum, Surfaces, and Films
The authors are grateful to the Defense Advanced Research Projects Agency 共A. Tsao and S. Wolf, Program Managers兲 and the National Aeronautics and Space Administration for support of this work through NASA Grants Nos.
NAGW1692 and NAG-1-1964. We greatly appreciated help
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