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Journal of Physics D: Applied Physics
ACCEPTED MANUSCRIPT
Modeling of Low Pressure Plasma Sources for Microelectronics
Fabrication
To cite this article before publication: Ankur Agarwal et al 2017 J. Phys. D: Appl. Phys. in press https://doi.org/10.1088/1361-6463/aa88f0
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Modeling of Low Pressure Plasma Sources for Microelectronics Fabrication
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Ankur Agarwal,1,a Kallol Bera,1 Jason Kenney,1 Alexandre Likhanskii,2 and Shahid Rauf1,b
Applied Materials, Inc.
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1140 E. Arques Ave., Sunnyvale, CA 94085
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35 Dory Road, Gloucester, MA 01930
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Now with KLA - Tencor
Author to whom correspondence should be addressed. Email: Shahid_Rauf@amat.com
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b
Abstract
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Chemically reactive plasmas operating in the 1 mTorr – 10 Torr pressure range are widely used
for thin film processing in the semiconductor industry. Plasma modeling has come to play an
important role in the design of these plasma processing systems. A number of 3-dimensional
(3D) fluid and hybrid plasma modeling examples are used to illustrate the role of computational
investigations in design of plasma processing hardware for applications such as ion implantation,
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deposition, and etching. A model for a rectangular inductively coupled plasma (ICP) source is
described, which is employed as an ion source for ion implantation. It is shown that gas pressure
strongly influences ion flux uniformity, which is determined by the balance between the location
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of plasma production and diffusion. The effect of chamber dimensions on plasma uniformity in a
rectangular capacitively coupled plasma (CCP) is examined using an electromagnetic plasma
model. Due to high pressure and small gap in this system, plasma uniformity is found to be
primarily determined by the electric field profile in the sheath / pre-sheath region. A 3D model
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is utilized to investigate the confinement properties of a mesh in a cylindrical CCP. Results
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highlight the role of hole topology and size on the formation of localized hot-spots. A 3D
electromagnetic plasma model for a cylindrical ICP is used to study inductive vs. capacitive
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power coupling and how placement of ground return wires influences it. Finally, a 3D hybrid
plasma model for an electron beam generated magnetized plasma is used to understand the role
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of reactor geometry on plasma uniformity in the presence of E×B drift.
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1. Introduction
Low and moderate pressure (1 mTorr – 10 Torr) chemically-reactive plasmas are widely used
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for thin film processing (etching, deposition, implantation, film modification, etc.) during
microelectronics fabrication. [1] These plasmas provide a unique combination of chemically
reactive radicals and energetic ions, which has proven essential for continued miniaturization of
microelectronics circuits.
With leading edge semiconductor devices approaching critical
dimensions of 5 nm and many films now thinner than 2 nm, it is paramount to control all plasma
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properties that can impact device characteristics: ion energy and angular distribution, ion-toneutral flux ratio, substrate temperature, etc. This need for enhanced control has led to rapid
increase in system complexity, with multiple RF sources, advanced pulsing and fine-tuned
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substrate temperature control now the norm in most plasma systems used for microelectronics
fabrication. [2-4] Modeling and simulation has been critical not only in containing the escalating
costs associated with development of such complex plasma processing systems but has also
enabled shorter development time-scales.
Plasma modeling is now widely used in the
semiconductor equipment industry for exploratory research studies, system design, and hardware
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optimization. Plasma modeling is also indispensable for understanding the plasma behavior in
the operating regimes of interest to help ensure one meets the stringent process requirements for
today’s microelectronics fabrication. This paper illustrates some of the current uses of plasma
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modeling in the semiconductor industry using results from 3-dimensional (3D) hybrid and fluid
modeling. Such plasma modeling is done hand-in-hand with feature scale modeling, flow and
thermal modeling, kinetic plasma modeling, and 2D plasma modeling of processing chemistries
to develop and optimize specific aspects of a given plasma processing system. [2-6]
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The current multi-dimensional plasma models suitable for design and development of
industrial plasma systems would not have been possible without the tremendous contributions by
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the world-wide plasma community over the last 40 years. Many aspect of this research such as
the development of computational algorithms and techniques, plasma diagnostics and
fundamental atomic and molecular physics studies are indispensable for development of credible
plasma models. Space limitations preclude us from highlighting all the important work in
relevant areas.
We mention only a few 3D plasma modeling studies here to partially illustrate
their development timeline. Kushner et al. [7] described a 3D plasma model for an inductively
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coupled plasma (ICP) etching reactor with planar coils. They used this model to examine the
consequences of coil design and chamber asymmetries on plasma uniformity. Kushner [8]
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further expanded on this study and investigated the effect of asymmetric pumping on uniformity
of charged and neutral species. Panagopoulos et al. [9] discussed 3D modeling of an ICP reactor
and reported on the role a focus ring can play in alleviating azimuthal non-uniformities. Kenney
et al. [10] developed a 3D model of parallel plate capacitively coupled plasmas (CCP). They
investigated the effect of asymmetric metal and dielectric components as well as access ports on
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plasma uniformity. Chen et al. [11] investigated plasma spatial properties in a large area CCP
using a 3D electromagnetic plasma model. The inclusion of the full set of Maxwell’s equations
aided in demonstrating that higher order modes at very high frequencies (VHF) can lead to non-
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uniform plasma. Rauf et al. [12] used a 3D model of magnetized CCPs to study the role that
different drifts play in determining the spatial characteristics of both electronegative and
electropositive plasmas.
For processing applications, it is imperative to have uniform plasma over the substrate.
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While general plasma characteristics can often be adequately investigated using 1 and 2-
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dimensional models, 3D models become useful for evaluating uniformity of complicated plasma
sources. Most examples in this article focus on plasma uniformity. 3D modeling studies are
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used to describe several source of plasma non-uniformity including plasma transport,
electromagnetic wave propagation and magnetic field. A few strategies for improving plasma
uniformity are also discussed.
A few of our examples, such as the self-consistent
electromagnetic modeling of inductive plasmas, introduce modeling innovations.
Other
examples add to the rather meager literature on 3D modeling of low temperature semiconductor-
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processing plasmas.
Experimental validation is an important aspect of model development.
We have not
addressed experimental validation in this article due to space limitations. However, our previous
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publications discuss validation of the underlying models for capacitively coupled [5, 13],
electron beam based [14] and inductively coupled [15] plasmas.
This article is organized in the following manner. The computational plasma models are
described in Sec. 2. These models are used to study several plasma processing systems in Sec. 3.
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A brief summary is included in Sec. 4.
2. Multi-dimensional Plasma Models
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The computational plasma models used in this article have been described previously in
the literature [10-14, 16], although these models have undergone significant changes since these
publications. We briefly describe these models in this section and explain any new features used
in the studies in Sec. 3. Two plasma modeling codes have been used in these studies. The first,
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CRTRS, is a 1/2/3-dimensional hybrid plasma model. [12] Briefly, this model includes the
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Poisson’s equation, continuity equations for all charged and neutral species, drift-diffusion
approximation for electron flux, momentum conservation equation for positive ions, and the
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electron energy conservation equation. Neutral species and ions are assumed to have a fixed
temperature. Electrons can be treated as a fluid or a Monte Carlo model can be used in situations
where kinetic effects are important. Kinetic treatment of electrons is found to be important at
low pressures where non-local effects could be significant [13] and is necessary where beam-like
energetic electrons are present. [14]
CRTRS has the capability to model charged species
transport in magnetic fields [12] and includes electromagnetic modules for simulating
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inductively coupled and other high density plasma sources. During the computation, at every
time step, the coupled set of Poisson equation, continuity equations for charged species and the
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ion momentum equations are first solved implicitly. This is followed by implicit solution of the
electron energy conservation equation and explicit solution of neutral continuity equations.
The second 2/3D plasma model, Mira, [16] is functionally similar to CRTRS but replaces
the Poisson’s equation with the full set of Maxwell equations. While electrons can be treated as
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a fluid or kinetically using a Monte Carlo model in Mira, similar to CRTRS, results discussed in
this work utilizing Mira treat the electrons as a fluid. The Maxwell equations have been
discretized using the well-known Yee algorithm. [17] In Mira, one can solve the coupled set of
Maxwell equations and charged species continuity equations either explicitly or implicitly in
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time. The electron energy conservation equation is solved implicitly and the neutral continuity
equation is solved explicitly.
Three-dimensional model investigations are computational expensive and time to results
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is critical to enable efficient design iterations and exploration of process regimes. To overcome
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these limitations, both CRTRS and Mira have been parallelized using MPI and results discussed
herein were all run on Applied Materials’ supercomputing cluster utilizing at least 8 threads.
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All simulations in this article are for Ar plasma. The Ar plasma chemical mechanism has
been described earlier. [18] This mechanism includes electron, Ar+ ion, Ar* metastable and
ground-state Ar. The same mechanism is used for both the fluid and the Monte Carlo models.
3.
3D Plasma Modeling Studies
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a. Rectangular Inductively Coupled Plasma for Ion Implantation
ICPs are an attractive source of ions for ion implantation [19 - 22] since they allow
generation of large volume high density plasma, which can be used for extracting high current
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ion beams. A typical ion implanter consists of a plasma chamber with an extraction slit, set of
ion beam extraction optics and a beamline to deliver the ion beam with desired specifications to
the substrate. [21] The capability to reliably simulate plasma dynamics in the plasma source is
critical to the design of the next generation ion implantation tools. In this paper we discuss
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successful development of such a high-fidelity simulation capability using CRTRS. The
developed simulation tool addresses the two major sets of relevant plasma parameters: 1) plasma
density, potential, composition to obtain detailed properties of the extracted ion beam (current,
angular distribution, ionic composition, time-evolving properties, etc.) and 2) uniformity of the
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extracted ion beam. While the first set of plasma parameters, defining the ion beam properties,
may be addressed by relatively fast 2D simulations, the uniformity studies and the ability to
enable full scale modeling-based tool design necessitate 3D simulations.
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A typical ICP source used in ion implantation tools is shown in Fig. 1. It consists of a
rectangular plasma chamber with gas feed and a long slit to enable ion beam extraction. A
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mixture of different gases (depending on the desired plasma composition) is fed into the chamber
at a few mTorr gas pressure. Plasma inside the source is generated by a multi-turn RF antenna.
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A dummy substrate, biased negatively relative to the source, is placed next to the chamber slit to
extract an ion beam and analyze its properties. For the ion extraction system, conventional drift
diffusion approximation for ions fails since inertia effects become important. For example, the
direction of the ion beam is important. In the drift diffusion approximation, the extracted ion
beam will always follow the direction of the electric field lines due to strong electric field in the
extraction region. The ion trajectory could however deviate from the electric field lines due to
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ion inertia. We are therefore using the full momentum equation for ions helping us to obtain
reliable data for the extracted ion beam at the substrate. The use of semi-implicit algorithms
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allows using rather coarse grid (larger than Debye length) in the plasma generation region.
However, the grid may be optionally refined in the ion beam extraction region if it is necessary
to obtain detailed properties of the ion beam.
We next present 3D simulation results for the rectangular ICP source with an extraction slit.
The ICP source is 1 m long (in the direction of the slit), 0.5 m tall and 0.3 m wide. The extraction
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slit length is 0.5 m. The plasma chamber is filled with argon gas at various pressures (1, 2 and 4
mTorr). Argon plasma chemistry includes argon neutrals, excited species, ions and electrons.
The plasma is generated using 1 kW, 2 MHz powered 5-turn RF antenna, wrapped around the
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source symmetrically with 5 cm spacing between the turns. In order to extract an ion beam, the
substrate is biased using -1000 V DC voltage.
Several cross-sections of Ar+ ion density
distribution are shown in Fig. 1 inside the source at 2 mTorr gas pressure. The plasma density
has a dumbbell-shaped distribution that gradually decays to the chamber walls. The plasma is
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strongest near the end of the coils (in the ±x direction) due to additional power coupling from the
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y-directed coil segments. The peak ion density is 2.6 × 1017 m-3. To analyze the extracted ion
beam, the ion flux to the negatively biased “dummy” substrate is shown in Fig. 2. In this figure,
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the color represents the ion flux, which has also been plotted along the z-axis. The extracted ion
beam has a Gaussian-like shape with characteristic length and height close to the slit dimensions.
The uniformity of the extracted beam also closely mimics the uniformity of the plasma inside the
source, i.e. the dumbbell-shaped plasma distribution in the source is translated into dumbbellshaped extracted ribbon ion beam. The ion flux decreases rapidly in the y-direction around y = 0
due to narrow slit opening.
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One of the important control knobs for ion beam uniformity is the gas pressure. The impact
of pressure on plasma density profile is shown in Fig. 3 for pressures of 1, 2, and 4 mTorr. By
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increasing the gas pressure, the diffusion coefficient decreases leading to the plasma being more
confined near the chamber walls, where it is primarily generated. If the gas pressure is decreased,
the larger diffusion coefficient tends to move the plasma density peak to the center of the
chamber. It is clear that with increasing pressure, the uniformity changes from center-peaked to
edge-peaked. It is also worth mentioning that the peak plasma density increases with the gas
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pressure due to higher neutral Ar density and lower collision frequency.
The change in
uniformity in the source, from center-peaked at low pressures to edge-peaked at higher pressures,
is also reflected in the ion beam flux extracted at the substrate, as shown in Fig. 4 where the
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normalized extracted ion flux is plotted at the center of the extraction slit (y = 0).
b. Rectangular Capacitively Coupled Plasma Reactor
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Plasma enhanced atomic layer deposition (PEALD) [23, 24] and plasma enhanced chemical
vapor deposition (PECVD) [1] have been used in the semiconductor industry to deposit silicon
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oxide, silicon nitride and carbon films. These films are deposited at moderately high pressure
(0.1 - 20 Torr) to achieve good deposition rates while minimizing damage due to ion
bombardment.
In solar and display applications, large area PECVD chambers are often
rectangular to accommodate rectangular processing substrates. These PECVD and PEALD
plasmas sources have been extended to the VHF range in recent years. [25]
This investigation focuses on plasma behavior in a rectangular parallel plate reactor operating
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at 60 MHz. In this reactor, the plasma is formed in an 8 mm gap between the top powered
electrode and the bottom electrode (where substrate is placed) as shown in Fig. 5. The RF feed
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to the powered electrode is located at the center of the reactor. The RF return path along the
outer electrode is separated from the powered electrode by a 0.020 m wide dielectric (r = 9.0).
The electrode is 0.34 m long and while the width of the electrode is varied between 0.06 and
0.34 m. The design symmetry in both x and y directions is leveraged to simulate only one
quarter of the reactor geometry which also enables quicker design iterations. Characteristics in
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the rectangular CCP reactor have been investigated using Mira for a 6 Torr Ar plasma. The
width of the electrode and power to the plasma are varied proportionately in order to maintain
the same average power density in the plasma. For an electrode width of 0.06 m, the power to
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the plasma is 30 W while the power is increased to 170 W for 0.34 m wide electrode. Although
we have kept the average plasma density constant, power deposition is not uniform.
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previous studies have shown that power has substantial impact on plasma and electromagnetic
field uniformity [11].
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The vertical component of electric field below the powered electrode is shown in Fig. 6 for
various electrode widths. For an electrode width of 0.06 m, the path length of electromagnetic
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field in the transverse direction is substantially different from that in the longitudinal direction.
The electromagnetic standing wave formed through reflections from the boundaries lead to a
field distribution where the vertical electric field is weakest near the feed location, as shown in
Fig. 6(a). The sheath electric field increases as we move away from the feed location. As the
electrode width is increased, the electric field pattern changes with the lowest electric field
location moving away from the feed location in the transverse direction, as shown in Fig. 6(b).
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With further increase in electrode width, the location of peak sheath electric field gradually
moves towards the center feed location as shown in Figs. 6(c-e). For example, an electrode width
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of 0.34 m results in the peak in electric field at the center feed location [Fig. 6(e)]. For this
width, the path lengths in the longitudinal and transverse directions are the same leading to
constructive interference at the center feed location. The electric field pattern changes with
electrode dimensions primarily due to the interference of electromagnetic wave propagating in
the different directions and its reflection from the reactor walls. In addition, the sheath electric
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field is enhanced near the edges due to material discontinuity, and this enhancement is especially
pronounced at the corners. The sheath RF and DC electric field distributions determine power
deposition to the electrons that determines the electron density distribution in the reactor.
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The electron density in the mid-longitudinal plane (y = 0) and the mid-transverse plane (x =
0) are shown in Fig. 7 for different electrode widths. In addition, electron density distribution in
the x = 0.15 m plane is also plotted. For an electrode width of 0.06 m, electron density is lowest
below the center feed location. Away from the center in the longitudinal plane, the electron
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density gets enhanced due to stronger electromagnetic field coupling to the plasma.
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enhancement in electron density is weaker in the transverse direction as the electric field is lower
there. The electron density increases sharply near the edges of the electrodes where the electric
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field becomes pronounced due to electrostatic edge effect. As the electrode width increases, the
electron density becomes more uniform in both the longitudinal and transverse directions, as
shown in Fig 7(b). For a width of 0.20 m [Fig. 7(c)], the electron density is high both near the
center feed location due to electromagnetic effect and near the edges due to electrostatic effect.
With further increase in electrode width, the peak electron density appears below the center feed
location with decrease in electron density both in the longitudinal and transverse directions
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before the electron density peaks again near the edge of the electrodes [Fig. 7(d-e)]. The electron
density distribution closely mirrors the uniformity of sheath DC and RF electric fields due to the
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small gap and moderately high gas pressure.
Ar+ is the only positive ion in the model so its density distribution is similar to the electron
density distribution in the plasma due to quasi-neutrality. The ion flux distribution to the
substrate (bottom electrode) is shown in Fig. 8 for different electrode widths, and it mimics the
electron density uniformity trend. For the narrow electrode width of 0.06 m, the ion flux is
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lowest near the center feed location [Fig. 8(a)] and increases away from the feed location. With
increases in electrode width, the ion flux to the substrate first becomes more uniform [Figs. 8(b)
and 8(c)]. With a further increase in electrode width, the location of peak ion flux to the substrate
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shifts to the center [Fig. 8(d-e)]. In all cases, the ion flux is locally enhanced near the electrode
edge.
c. Cylindrical Capacitively Coupled Plasma Reactor
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CCPs are widely used for plasma etching and deposition. A common design component in
CCPs for plasma processing applications is a mesh or blocking plate and serves to confine the
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plasma or act as an aperture to tune the relative amounts of species which may pass through. In
the following, we consider the effectiveness of a grounded, perforated annular plate in confining
a CCP to the process region above. This study has been done using CRTRS and electromagnetic
effects have been neglected.
In Fig. 9, the baseline chamber geometry is shown. The chamber inner diameter is 48 cm,
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and it has a 5 cm electrode gap. A metal plate divides the chamber into upper and lower regions.
The inner diameter of the plate is 32 cm, and it has a staggered array of 2 cm holes. There is 4
cm between the plate and the pump port.
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In Fig. 10, several electron density profiles are shown under varying conditions. For all
simulations, an argon plasma at 20 mTorr is used, with 1000 W power applied from the bottom
electrode. In Fig. 10(a), a frequency of 60 MHz is used to generate the plasma using the baseline
chamber geometry. The plasma is largely produced near the electrode edge where the electric
fields are largest, but the low pressure allows the plasma to diffuse throughout the chamber. The
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relatively high excitation frequency results in high plasma density, low voltages, and a thin
sheath smaller than the holes in the metal plate. The plasma is able to pass through and obtain
comparable densities above and below the plate, and the hole pattern shows up clearly as dimples
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in the highest density isosurface.
In Fig. 10(b), the impact of reducing the excitation frequency to 15 MHz is shown. Under
these conditions, the plasma density is reduced and requires voltage increase, resulting in a
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thicker sheath than at 60 MHz. The plasma is still able to penetrate the mesh and obtain
comparable densities above and below it, but now the importance of the local hole topology is
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more pronounced. In regions where the staggered grid is relatively rich in holes, the plasma is
able to pass through and maintain a high density. In other regions, the plasma is largely
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suppressed below the grid. This gives much larger non-uniformities in plasma density below the
grid, ultimately with an impact feeding back into the region above the grid.
In Fig. 10(c), the impact of reducing the hole size is considered, here using the 15 MHz
process. The holes in the metal plate are reduced to 1 cm in diameter, with a more dense but
similarly staggered pattern. In this case, plasma is largely suppressed from entering the region
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below the metal plate, and a significant disconnect is seen between the upper and lower plasma
profiles. Here still, however, we see perturbation in the plasma density profile in the region
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above the plate, owing to interactions with the imperfect array of holes in the plate.
d. Cylindrical Inductively Coupled Plasma Reactor
ICP chambers are pervasive in the semiconductor industry and are extensively utilized for
silicon and dielectric materials etching.
The uniformity and yield requirements of plasma
etching at advanced technological nodes (<10 nm) necessitate multidimensional antenna
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segments to ensure azimuthal uniformity. Other aspects of the ICP chamber such as systems for
gas flow and temperature control are also often housed in the source region which can affect the
electrical characteristics of the antenna. To investigate the effect of such design choices on the
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plasma characteristics and uniformity necessitates a 3-dimensional electromagnetic plasma
model where the electromagnetics of the ICP antenna and the antenna-plasma coupling are
treated self-consistently. [26]
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To illustrate this capability, the schematic view of an ICP chamber is shown in Fig. 11. The
antenna structure comprises of a 30 cm diameter, 4-turn segmented coil fed coaxially at the
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center. An azimuthally-segmented Faraday shield sits atop the 4 cm thick alumina-like dielectric
window (εr = 9.0) to minimize capacitive fields. The 30 cm diameter wafer is surrounded by
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alumina and sits 15 cm below the dielectric window. The coils are terminated to ground using
posts which connect the coils to the chamber wall at a radius of 30 cm. Two design variants of
the ICP antenna structure are investigated in this work. The posts from the coil to the ground can
overlap with either the dielectric window, as shown in Fig. 11(a) or with the Faraday shield, as
shown in Fig. 11(b). Plasma characteristics for these design variants are investigated in a 250 W,
30 mTorr discharge sustained in Ar. The voltage at the coaxial feed is adjusted to deliver a total
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power of 250 W at 13.56 MHz. Note that the power so defined does not distinguish between
inductive or capacitive. The computational mesh is approximately 48×48×80 points in the x, y,
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and z directions respectively. These simulations have been done using Mira.
The magnitudes of inductively coupled and axial electric fields in a plane 1 cm below the
window are shown in Fig. 12 for the two design configurations. The corresponding electron
power deposition due to these fields, also in a plane 1 cm below the window, is shown in Fig. 13.
The peak inductively coupled electric field is 253.6 V/m and is azimuthally asymmetric due to
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the finite number of coil segments (4) and their ground return legs. The peak in the inductively
coupled electric field, in Fig. 12(a), occurs where the ground termination of the coils overlaps
with the dielectric window, while the location, in Fig. 12(b), coincides with midway between the
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ground termination locations. The peak in inductive power deposition (22.5 × 103 W/m3)
coincides with the peak in electric field and is similar between the two design variants,
concomitant with the similarity in magnitude of the inductive electric field. The peak axial
electric field is 787.4 V/m and is dominant near the edge of the metal-dielectric boundary
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corresponding to the Faraday shield and at the larger radii near the chamber wall. The peak in
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capacitive power deposition (2.0 × 103 W/cm3) is an order of magnitude lower than that coupled
inductively. The axial electric field in the plasma is shielded by an order of magnitude due to the
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Faraday shield. This effectiveness is also confirmed by lower capacitive power deposition
relative to inductive despite the larger magnitude of the axial electric fields.
The axial electric fields in the plasma are lower where the coil terminations overlap with the
Faraday shield (peak of 510 V/m). This decrease is driven in part by the fact that the coil
termination to ground serves as a pseudo Faraday shield and so inhibits the fields somewhat
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above the dielectric window. Another reason for this decrease (and variation in peak location) is
driven by the transmission line characteristics of the coil and plasma as the antenna structure
design utilizes a coil whose length is less than ¼ of the wavelength of the driving frequency. For
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the design variant in Fig. 11(b), the termination overlap with the Faraday shield results in a larger
termination capacitance and so the impedance increases. This larger impedance increases the
current along the coil and so results in peak in the fields midway through the coil termination.
The larger impedance to ground is also confirmed by the voltage at the co-axial feed. For the
design variant shown in Fig. 11(a), 1049.7 V is required to couple 250 W while 1104.3 V is
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required for the variant shown in Fig. 11(b). The net inductive power deposition in the plasma
volume is estimated to be 222.4 W vs 232.6 W between the two designs.
Radial slices of the electron density are shown in Fig. 14 for varying distances from the
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dielectric window of 2, 4, and 6 cm. The peak electron density is 2.7 × 1017 m-3 and the finite
coil segments result in the azimuthal profile mirroring the structure also seen in the inductive
fields and power deposition. While the large distance between the dielectric window and the
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wafer typically helps to smear out this azimuthal profile, the large operating pressure of 30
mTorr limits the diffusion transport and so the center of the chamber does not fill well even near
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the mid-gap (at 7.5 cm, not shown). This is also confirmed, in part, by the fact that the location
of the peak in electron density at any axial location does not vary significantly. The large
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electron density limits the penetration of inductive electric field deep into the plasma region and
so the density near the wafer is limited by diffusion. Even as the density is low, smearing of the
azimuthal asymmetry at least occurs at locations closer to the wafer. The electron density shown
in Fig. 14(b) corresponds to the design variant when the coils termination overlaps with the
Faraday shield and is uniform relative to the profiles in Fig. 14(a) when the coils termination
overlaps with the dielectric window. The peak location and azimuthal profile of the electron
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density is driven by the peak in ionization rates coinciding with the peak in the inductive electric
fields and low competing losses either by diffusion or recombination as might occur in
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electronegative gases. The uniformity improvement for the schematic in Fig. 11(b) when the
termination capacitance is large has also been reported by Kushner et al. [7]
This work illustrates that antenna generated asymmetries can be introduced by design choices
as simple as coil termination above the Faraday shield versus dielectric window. The antenna
generated azimuthal asymmetries in plasma production can persist over large lengths (such as the
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wafer plane) and place added importance on proper coil design.
While the electrical
characteristics of ICPs can be characterized using a circuit model, a 3-dimensional model is
necessary to evaluate the impact on plasma uniformity over a range of plasma conditions and
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chamber designs.
e. Electron Beam Generated Magnetized Plasma
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With the critical microelectronics device dimensions shrinking below 5 nm, thin film
processing is increasingly requiring atomic level precision. [27] Ion energy is one of the key
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attributes that influences device fidelity during plasma processing. [28] There has been
significant interest in lowering the ion energy in plasma systems to alleviate ion induced damage
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and improve fabrication precision. One method to reduce ion energy is to use low electron
temperature (Te) plasma generated using an energetic electron beam. [29-31] The energetic
electron beam necessitates kinetic treatment of electrons using a Monte Carlo model in CRTRS,
which has been described in Ref. [14]. This model is also validated against experimental probe
measurements in Ref. [14]. The reactor geometry is shown in Fig. 15(a) and 15(b).
The
electron beam source (shown in green) is 2.5 cm tall and 41 cm wide. The energetic electrons
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are launched from the surface facing the vacuum chamber. All surfaces are considered to be
electrically grounded. The top surface is 2.25 cm away from the center of the beam (z = 0.05 m)
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while the bottom surface is 1.75 cm away. A magnetic field is used to confine the electron beam
and the bulk plasma. This magnetic field is generated using the set of circular coils shown in
Fig. 15(b). For the results reported here, the coils are arranged in the Helmholtz configuration
with D = 2W = 0.8 m. The coil currents are similar and they have been adjusted to obtain 120 G
magnetic field at (x,y,z) = (0,0,0.05) m. The magnetic field at the center of the beam (z = 0.05 m
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plane) is shown in Fig. 15(c). This magnetic field is predominantly in the x-direction and
uniform in the plasma region except for slight curvature near the sidewalls in the y-directions.
The electron density for Ar plasma at 20 mTorr gas pressure, 0.98 A/m2 beam electron
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current density, and 1.5 keV beam electron energy is shown in Fig. 16. The density has been
plotted in the z = 0.05 m and x = 0.06 m planes. A moderate density plasma is produced under
these conditions. As shown in Fig. 10(c) in Ref. [14] for identical conditions, peak Te ≈ 1.25 eV.
The electron density, ne, exhibits non-uniformities in all directions, which require a closer
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examination. First, ne increases as one moves away from the electron beam source in the +x-
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direction. This non-uniformity is linked to the cross-section for Ar ionization, which decreases
with energy for electron energies greater than a few hundred eV [32]. As the beam electrons
collisions.
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move away from the beam source, they lose some energy through elastic and in-elastic
The less energetic beam electrons farther away from the source have higher
ionization probability, which results in ne increasing with x. Despite the chamber geometry and
magnetic field being symmetric around the y = 0 plane, ne is larger in the y > 0 region. This nonuniformity is due to the E×B drift. Sheath electric field is directed away from the plasma at all
surfaces. With B predominantly being in the x-direction, the plasma is expected to drift in the +y
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direction above the beam center (i.e., z ≥ 0.05 m) and –y direction below it. This reactor is
slightly asymmetric in the z-direction with more volume above the beam center compared to
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below it. Consequently, more of the charged particles experience the +y drift and we see a
higher plasma density in the y > 0 region. One can observe in Fig. 16(b) that the plasma is
stronger above the center of the beam (shown as dashed line) than below it. This non-uniformity
is linked to the bottom electrode being closer to the beam than the top electrode. This disparity
results in more plasma loss at the bottom electrode and weaker plasma below the beam center.
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To verify the above conclusions regarding non-uniformity in the y and z directions, the beam
center is shifted to the top half of the chamber. The resulting reactor geometry is similar to that
in Fig. 15(a), but with the beam source moved up by 5 mm. In this configuration, the top surface
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is 1.75 cm from the center of the beam (z = 0.055 m) while the bottom surface is 2.25 cm away.
Electron density for this simulation is shown in Fig. 17. The peak in ne moves to the y < 0 region
[Fig. 17 (a)] if the plasma volume is smaller above the beam than below it because more of the
plasma is now experiencing E×B drift in the –y direction. In addition, as shown in Fig. 17(b),
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the plasma is stronger below the beam center due to the smaller distance between the beam and
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geometry
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the top electrode. These results illustrate the significant influence of
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uniformity in magnetized plasmas.
4. Conclusions
Plasma chambers that enable thin film processing in the semiconductor industry operate over
a wide range of pressures and have to meet the stringent process requirements desired of a
typical high volume manufacturing industry. To meet these stringent requirements, plasma
Plasma
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processing systems have greatly increased in system complexity in recent years.
modeling plays an important role in their design to enable shorter development time-scales. A
number of 3-dimensional (3D) fluid and hybrid plasma modeling examples were used to
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illustrate the applications of plasma modeling in plasma hardware design in this article. We first
described a 3D fluid model for a rectangular ICP source, used for extracting ions for ion
implantation. It was shown that gas pressure strongly influences the ion flux uniformity, which
is determined by the balance between where the plasma is produced and how much it spreads
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through diffusion. The effects of chamber dimensions on plasma uniformity in a narrow-gap
rectangular CCP, used for deposition, were examined using a fully electromagnetic plasma
model. Due to high pressure and small gap in this system, plasma uniformity was found to be
primarily determined by the electric field profile in the sheath / pre-sheath region.
The
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confinement properties of a mesh in a cylindrical CCP, used for etching and deposition on Si
wafers, were investigated over a range of excitation frequencies. Results highlighted the role of
hole topology and size on the formation of localized hot-spots.
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We also computationally
investigated a cylindrical ICP where both the RF sections in the source and the plasma were
simulated using a fully electromagnetic plasma model. This model was used to study inductive
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vs. capacitive power coupling and how placement of ground return wires relative to the Faraday
shield influences this power coupling. Finally, a 3D hybrid plasma model for an electron beam
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generated magnetized plasma was used to understand the role of reactor geometry on plasma
uniformity in the presence of E×B drift.
In the foreseeable future, we expect plasma modeling to remain a major tool for the design
and development of plasma processing systems for microelectronics fabrication. These models
considerably shrink the development time and reduce the number of expensive iterations one has
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to go through to design a successful product. Plasma models are increasingly being expected not
just to answer fundamental design questions but to help optimize the design details such as
dimensions and shapes. Hence, 3D plasma models have increasingly become important for the
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design of industrial plasma processing equipment. Given the computational expense of 3D
plasma modeling, it remains a challenge how to incorporate most relevant physics in them (e.g.,
non-local transport, plasma chemistry), resolve important details (e.g., sheaths), and still be able
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to do the simulations in a reasonable time.
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References
1. Doering R and Nishi Y, editors 2008 Handbook of Semiconductor Manufacturing
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Technology, 2nd Edition, CRC Press, Boca Raton, FL
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2017 Plasma Sources Sci. Technol. 26, 065006
15. Agarwal A, Foucher M, Rauf S, Booth J.-P., Chabert P, and Collins K, AVS
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International Symposium, Oct. 18 – 23, 2015, San Jose, CA.
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19. Brown I G 2004 The Physics and Technology of Ion Sources, 2nd Revised and
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21. Ito H 2016 Proceedings of 2016 21st International Conference on Ion Implantation
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28. Agarwal A and Kushner M J 2009 J. Vacuum Sci. Technol. A 27 37
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Fernsler R F 2015 ECS J. Solid State Sci. Technol. 4, N5033–40
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31. Boris D R, Petrov G M, Lock E H, Petrova T B, Fernsler R F and Walton S G 2013
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32. Rapp D and Englander-Golden P 1965 J. Chem. Phys. 43, 1464–79
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Figure Captions
1. Ar+ ion density distributions inside the rectangular ICP plasma source operating at 2
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mTorr pressure. (a) xz cross-section and (b) yz cross-sections.
2. 2D distribution of the extracted Ar+ ion flux to the substrate in the rectangular ICP
plasma source operating at 2 mTorr pressure.
3. Ar+ ion density distribution inside the rectangular ICP plasma source operating at (a) 1
mTorr, (b) 2 mTorr and (c) 4 mTorr pressure.
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4. Extracted ion beam uniformity at the substrate in the rectangular ICP source at different
pressures.
5. Computational geometry used for modeling the rectangular CCP reactor
dM
6. Time-averaged vertical component of electric field Ez below the powered electrode for
different electrode widths in the rectangular CCP. These simulations have been done at 6
Torr gas pressure in Ar, and the RF power is scaled with the electrode width.
7. Electron density as a function of electrode width in the rectangular CCP at 6 Torr gas
pressure in Ar. RF power has been scaled with the electrode width. Each plot includes
pte
electron density in the y = 0, x = 0, and x = 0.15 m planes.
8. Electron density in the mid-plane between the top and bottom electrodes in the
rectangular CCP. These simulations have been done at 6 Torr gas pressure in Ar, and the
ce
RF power is scaled with the electrode width.
9. Schematic of baseline cylindrical CCP chamber geometry with 2 cm diameter holes in
the mesh.
10. Electron density isosurfaces with (a) baseline geometry and 60 MHz excitation
Ac
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frequency, (b) baseline geometry and 15 MHz excitation frequency, and (c) reduced hole
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at 20 mTorr and 1000 W RF power. Note: log scale.
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size (1 cm diameter) and 15 MHz excitation frequency. All simulations are for Ar plasma
us
cri
11. Schematic view of the ICP chamber with multi-segmented coil fed through the co-axial
feed. Design variants when the coils termination overlaps with (a) dielectric window and
(b) Faraday shield.
12. Radial slices of the magnitude of inductive (top) and axial electric fields (bottom) in the
250 W, 30 mTorr Ar ICP plasma taken 1 cm below the dielectric window. Design
variants when the coils termination overlaps with (a) dielectric window and (b) Faraday
an
shield. The contours are on a linear scale.
13. Radial slices of the inductive (top) and capacitive power deposition (bottom) in the 250
dM
W, 30 mTorr Ar ICP plasma taken 1 cm below the dielectric window. Design variants
when the coils termination overlaps with (a) dielectric window and (b) Faraday shield.
The contours are on a linear scale.
14. Radial slices of the electron density in the 250 W, 30 mTorr Ar ICP plasma taken 2, 4,
and 6 cm below the dielectric window. Design variants when the coils termination
pte
overlaps with (a) dielectric window and (b) Faraday shield. The contours are on a linear
scale.
15. (a) One half of the plasma reactor geometry. (b) Top-down cross-section of the plasma
ce
reactor at z = 0.05 m. (c) Static magnetic field in the z = 0.05 m plane. This magnetic
field has been generated for D = 2 W = 0.8 m. Magnetic field at (0, 0, 0.05) m is 120 G.
16. Electron density in the (a) z = 0.05 m and (b) x = 0.06 m planes. These results are for Ar
plasma at 20 mTorr gas pressure, 0.98 A/m2 electron beam current density, and 1.5 keV
Ac
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beam electron energy. Center of the beam source at z = 0.05 m has been indicated using
a dashed line.
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17. Electron density in the (a) z = 0.055 m and (b) x = 0.06 m planes. These results are for
Ar plasma at 20 mTorr gas pressure, 0.98 A/m2 electron beam current density, and 1.5
keV beam electron energy. The electron beam source has been raised by 5 mm relative
to the geometry in Fig. 15(a). Center of the electron beam source at z = 0.055 m is
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pte
dM
an
indicated by the dashed line.
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(a)
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dM
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nAr+ (m-3)
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(b)
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Figure 2 of 17
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nAr+ (m-3)
(a)
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(b)
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(c)
Figure 3 of 17
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Figure 4 of 17
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an
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Outer
Dielectric Electrode
Feed
Plasma
Feed
dM
Powered
Electrode
2
0
0
5
10
0
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Z (cm)
Bottom
Electrode
(Substrate)
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6
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Figure 5 of 17
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28
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(b) Width 0.13 m,
power 65 W
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(c) Width 0.20 m,
power 100 W
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(d) Width 0.27 m,
power 135 W
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(a) Width 0.06 m,
power 30 W
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(e) Width 0.34 m,
power 170 W
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Ez [kV/m] - JPhysD-113397.R1
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(a) Width 0.06 m, power 30 W
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(d) Width 0.27 m, power 135 W
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(b) Width 0.13 m, power 65 W
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(e) Width 0.34 m, power 170 W
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(c) Width 0.20 m, power 100 W
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1
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20 20
Figure 7 of 17
Agarwal et al.
Ion Flux [m-2.s-1]
5
1.61019
(a) Width 0.06 m, power 30 W
0
Y (cm)
(b) Width 0.13 m, power 65 W
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0
(c) Width 0.20 m, power 100 W
5
dM
Y (cm)
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1.01019
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(d) Width 0.27 m, power 135 W
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Figure 9 of 17
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Figure 10 of 17
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Figure 11 of 17
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Figure 12 of 17
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Figure 13 of 17
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Figure 14 of 17
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z
0.28 m
y
x
an
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(a)
cri
0.10 m
dM
0.0
ebeam Source
Y (m)
0.3
-0.3
-0.3
pte
(b)
Beam Dump
W
0.0
X (m)
D
0.3
(a) D = 2W = 0.8m
0.3
|B| (G)
160
Y (m)
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0.0
-0.3
-0.3
(c)
140
120
100
0.0
X (m)
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Figure 15 of 17
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-0.3
(a)
0.0
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0.3
dM
0.10
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0.0
an
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Y (m)
0.3
pt
ne (Max. = 1.1×1016 m-3)
Z (m)
0.08
0.06
0.04
pte
0.02
0.00
-0.3
(b)
Min.
Ac
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0.0
Y (m)
0.3
Max.
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Page 43 of 44
Figure 16 of 17
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ne (Max. = 1.1×1016 m-3)
-0.3
-0.3
(a)
0.0
X (m)
0.3
dM
0.10
cri
0.0
an
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Y (m)
0.3
Z (m)
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0.04
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0.00
-0.3
(b)
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Max.
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Figure 17 of 17
Agarwal et al.
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