Hollow cathodes for plasma switch applications are investigated via 2D3V particle-in-cell simulations of the channel and plume region. The kinetic nature of the plasma within the channel is dependent on the thermalization rate of electrons, emitted from the insert. When Coulomb collisions occur at a much greater rate than ionization or excitation collisions, the electron energy distribution function rapidly relaxes to a Maxwellian and the plasma within the channel can be described accurately via a fluid model. In contrast, if inelastic processes are much faster than Coulomb collisions, then the electron energy distribution function in the channel exhibits a notable high-energy tail, and a kinetic treatment is required. This criterion is applied to hollow cathodes from the literature, revealing that a fluid approach is suitable for most electric propulsion applications, whereas a kinetic treatment can be more critical to accurate modeling of plasma switches.

Hollow cathodes are efficient plasma sources for numerous applications, including but not limited to, spacecraft plasma propulsion,1–6 beam injectors for fusion devices and instruments,7,8 surface processing,9–12 plasma-material interaction studies,13 and plasma switch technologies.14–16 Thermionic hollow cathodes feature an insert coated with a low-work function material such as lanthanum hexaboride (LaB6) or barium tungsten (BaW). Following an initial heating stage induced by an external energy source, such as a radio frequency (RF) exciter or a heater, the primary emitted electrons acquire sufficient energy for ionization, subsequently triggering plasma ignition. The cathode then maintains heating primarily through ion bombardment at the wall, leading to a self-sustaining discharge. The plasma generated thereafter reaches a high density before spreading out of the tube and producing a plume.

Although extensively studied in the literature, hollow cathodes present a rich physics environment that is not yet fully understood. First, the plasma density, and sometimes the neutral pressure in the case of space propulsion applications, drops by several orders of magnitude between the channel region and the plume, considerably increasing the mean free path of particles.1 Furthermore, multiple studies have reported that the plume area could be the site of instabilities that may lead to the formation of high-energy ions.17–19 Finally, the design of hollow cathodes has undergone significant enhancements through a series of incremental improvements. These advances include the adoption of novel emitter materials2,20 along with the incorporation of low sputtering-yield materials and fine-tuning of cathode geometry for optimal performance. For instance, adjusting the size and shape of the orifice, and separating the channel chamber from the plume area can affect the emitter temperature profile and thus the discharge current.21 Thanks to these innovations, both the lifespan and operational efficiency of hollow cathodes have experienced gradual and notable enhancements.1,22 These improvements were made possible thanks to inputs provided by numerical modeling, which has become increasingly accurate over time. Therefore, a detailed description of plasma flow in both the channel and the plume, and an in-depth understanding of potential instabilities are crucial for future hollow cathode design improvements.

Comprehensive modeling of hollow cathodes is challenging due to the vast range of plasma regimes within the device. In the channel, where the plasma density is high and assumed near equilibrium, a fluid model is often appropriate, whereas, in the plume, kinetic effects may appear. Historically, the channel region has attracted most of the interest, and therefore, most descriptions of hollow cathodes are based on fluid models.23 Zero-dimensional (0D)24,25 and 1D models26,27 focus mainly on the inner channel and orifice area and give quick estimates of plasma production and temperature. A better description of plasma–wall interaction and neutral flow effects at the insert can be obtained with 2D models28,29 in combination with the Richardson–Dushman equation.30 This equation governs electron emission from the walls and improves the understanding of erosion mechanisms.31 Capitalizing on these efforts, 2D models have been extended to the near plume region32 often including self-consistent evolution of the insert temperature.33–35 One motivation for including the plume area is the potential presence of anomalous resistivity, which is higher than what classical transport and Ohm's law would predict, leading to higher electron temperature,.36,37 Such an effect seems to originate from ion acoustic turbulence (IAT), identified by Jorns et al.,38 leading to the creation of energetic ions, which ultimately may erode the cathode.17,31 The IAT was further investigated in Refs. 39 and 40 in the context of hollow cathodes for space propulsion. Fluid models account for IAT via an adjustable parameter to fit experimental measurements.33,41,42 However, since fluid models cannot self-consistent capture kinetic effects, such as the IAT, this parameter needs to be adjusted for each specific configuration using information obtained from experiments or kinetic simulations.

These kinetic effects can be captured by explicitly accounting for a separate population of fast electrons in the fluid model, distinct from the near-Maxwellian low energy plasma electrons. This approach was successfully demonstrated in Ref. 43, which presented a model of a thermionic cathode that can serve as a current and voltage stabilizer, investigated in experimental studies.44,45 Additional kinetic effects may be captured by employing hybrid methods, as shown in Refs. 46 and 47. In these studies, electrons are represented using a drift diffusion model, whereas heavy particles, such as ions and neutrals, are treated as particles tracked via a particle-in-cell (PIC) approach. These modeling techniques result in favorable comparisons with experimental data obtained from a LaB6 hollow cathode. A fully kinetic model of a hollow cathode for space propulsion was investigated in Ref. 48. In this work, a 2D-2V PIC simulation modeled a miniaturized orificed hollow cathode. A parametric study over the cathode voltage, gas pressure, and radius size was performed and subsequent effects on the steady-state parameters were reported. The simulation was sped up by using a miniaturized geometry and lowering the mass of the xenon gas by a factor of 100. Non-Maxwellian behavior of the ion and electron velocity distribution functions (IVDF and EVDF) was identified in both the channel and plume area. Two other full PIC simulations with cylindrical geometry were investigated in Refs. 49 and 50, where it was again suggested that non-Maxwellian behavior for electrons exists within the insert region.

These physics and modeling challenges are mostly described in the context of electric propulsion but also apply to hollow cathodes utilized as plasma switches, which differ significantly in two main aspects. First, unlike in space propulsion applications, the neutral pressure is approximately uniform in both the channel and the plume. Second, the plume expands into closed boundaries linked to an external circuit, rather than being emitted into a vacuum. Hollow cathodes designed for plasma switch applications represent a promising technology for the development of future power grids utilizing direct current (DC) instead of alternating current (AC) at medium or high voltage.51–53 DC transmission is an attractive solution for meeting growing electricity demand and integrating the intermittency of renewable energies. Indeed, it offers lower capacitive and inductive losses for a given right-of-way with respect to AC transmission lines and provides greater control and stability, avoiding the synchronization issues that can affect AC grids. However, as reported in Ref. 16, DC circuit breakers are inherently more costly and complex than AC breakers, as a classic mechanical switch opens at a relatively slow rate, which can result in dangerous and destructive arcing. In this context, the authors in Ref. 16, experimentally explored different geometries, gases, and operating conditions of a hollow cathode that could potentially serve as a DC circuit breaker. In particular, they noted that the discharge voltage across the cathode would drop from  30 to 40 V before reaching a plateau corresponding to the ionization or excitation potential of the gas and depended on the gas pressure, which ranged from 30 mTorr to 1.5 Torr, and the discharge current. They also reported that the ionization mechanism is likely changing under the various test conditions. When the voltage drop, corresponds to a lower plasma density, the ionization is mostly dominated by direct ionization from primary electrons stemming from the cathode. In contrast, when the plasma density is high, a regime for which the voltage drop plateau has been reached, ionization is mostly due to the heating of the plasma bulk by the primary electrons.

We pursue two goals in the present paper. The first is to determine a general criterion for when either a fluid or kinetic approach is most suited to model the discharge channel. We then investigate how the plasma expands into the plume, which is a crucial characteristic for plasma switch design. To do so, we perform kinetic modeling of a hollow cathode for plasma switch applications, which, to the best of our knowledge, has not previously been reported. This paper is organized as follows. In Sec. II, we describe in detail the numerical setup and discuss the main assumptions underlying our modeling. In Sec. III, the plasma dynamics at steady state is elucidated, before we conduct an in-depth examination of the electron energy distribution function (EEDF) and develop our criterion for kinetic or fluid modeling.

The configuration considered in this work is based on the hollow cathode experimental setup described in Ref. 16. The computational domain is comprised of a rectangular box of size Lx×Ly with geometry as shown in Fig. 1. The channel of the hollow cathode is located between the symmetry axis on the left of the simulation domain and the conducting cathode surface to the right, with dimensions r×Lc. A thin dielectric layer, spanning only a few cells in width, is positioned between the cathode and the anode along the right boundary (shown in green). The anode (shown in blue) is connected to an external circuit for which a constant current, denoted as I0, is applied. As shown in Fig. 1(c), the computational domain does not model the whole experimental setup but instead intends to model the inner channel and near plume region where most of the physics occurs. Additionally, incorporating a dielectric on the side aligns with the practical usage of hollow cathodes as plasma switches.14 The simulation is performed using the Cartesian version of the explicit momentum conserving PIC-MCC code EDIPIC-2D,54 which has been verified through numerous international benchmarks,55–57 and used to model a wide variety of low-temperature plasma systems.58–62 Although the actual hollow cathode is cylindrical, the generic criterion that determines whether the plasma operates in a fluid or kinetic regime does not depend on the geometry. Indeed, while the distribution of the potential or the density differs between a Cartesian or cylindrical geometry, the criterion that will be presented in Sec. III C depends on the plasma parameters in the bulk and on the total potential fall between the bulk and the cathode. Additionally, PIC modeling in cylindrical coordinates can suffer from enhanced numerical noise near the centerline,63 which can significantly distort the results. Therefore, in order to avoid unnecessary modeling uncertainties, Cartesian modeling was chosen for this work.

FIG. 1.

(a): The computational domain for the hollow cathode switch simulations. The solid dashed line on the left is the symmetry axis. The cathode, modeled as a gray block, is grounded and emits electrons into the channel. The bottom of the channel is grounded and fully absorbing. The anode at the top is connected to a current source. A thin dielectric layer, purposely enlarged for clarity, separates the cathode and the anode. (b): Recent experimental setup of a hollow cathode used for plasma switch applications. Reprinted with the permission from Meshkov et al., Phys. Plasmas 31, 013503 (2024). Copyright 2024 of AIP Publishing LLC.16 (c): Schematic of the experimental setup from Meshkov et al.16 

FIG. 1.

(a): The computational domain for the hollow cathode switch simulations. The solid dashed line on the left is the symmetry axis. The cathode, modeled as a gray block, is grounded and emits electrons into the channel. The bottom of the channel is grounded and fully absorbing. The anode at the top is connected to a current source. A thin dielectric layer, purposely enlarged for clarity, separates the cathode and the anode. (b): Recent experimental setup of a hollow cathode used for plasma switch applications. Reprinted with the permission from Meshkov et al., Phys. Plasmas 31, 013503 (2024). Copyright 2024 of AIP Publishing LLC.16 (c): Schematic of the experimental setup from Meshkov et al.16 

Close modal

The plasma consists of electrons and singly charged argon Ar+ macroparticles with fixed statistical weight pw=2.92×107. A constant neutral background of Ar is maintained at a pressure of Pn=93mTorr, corresponding to a density of nn=3×1021m3 and temperature of 300 K. We reiterate that this represents a major difference from hollow cathodes used in electric propulsion for which the neutral pressure exponentially decreases from the channel exit into the vacuum. Ions can only interact with neutrals via charge exchange collisions,64 whereas electrons collide with the neutral background via elastic, excitation, or ionization collisions using state-of-the-art cross-section data.65 Due to high-electron densities, Coulomb collisions between electrons are also implemented via Nanbu's approach.66 To our knowledge, Coulomb collisions were not included in previous full PIC models of hollow cathodes. No recombination reactions are considered in the present setup. Neutral metastables are not modeled in this work and so stepwise ionization is not considered. For space propulsion applications, stepwise ionization is usually omitted as it does not seem to affect plasma production significantly.33 For plasma switch applications, in large cathodes,16 the presence of metastables may lower the plasma potential in the bulk as stepwise ionization requires a lower acceleration of electrons emitted from the cathode to effectively produce plasma. Although interesting, we reserve this work for a companion paper as it is out of the scope of the present study.

The simulation is initialized with a uniform plasma density of n0=1018m3 and a Maxwellian distribution with temperature Te,0=5eV and Ti,0=0.03eV for electrons and ions, respectively. The cell size Δx and time step Δt are chosen such that they satisfy the accuracy and stability conditions for an explicit momentum conserving PIC scheme,67 i.e., Δx<λDe and Δt<0.2ωpe1, where λDe and the ωpe are the Debye length and the electron plasma frequency, respectively. In the present simulations, the maximum density is expected to reach approximately 5×1019m3, which with an electron temperature of a few electronvolts, and would require a cell size of a few micrometers and a time step less than a picosecond. The subsequent computational cost would be substantial for the considered computational domain and a simulation time of over a few hundred microseconds. To mitigate this cost, the vacuum permittivity is scaled by a factor εr1057, which increases the allowed time step and cell size by a factor ∼33. Such a value was chosen to enlarge the cells sufficiently to achieve dimensions similar to those used in Ref. 16. This technique to reduce simulation cost has been widely used in low-temperature plasma simulations, particularly for space propulsion68,69 and also for hollow cathodes.49,50 In the latter two PIC studies, it was shown that scaling εr by a factor of 900 did not significantly affect plasma bulk properties, helping to guide our choice of εr. Since this study focuses on plasma properties in the bulk, the plasma sheath expansion that stems from the increase in vacuum permittivity is not a concern in this work. These considerations result in a chosen time step and cell size of Δt=12.1ps and Δx=44μm, respectively. In the most constrained scenario, utilizing the electron and temperature density from the channel, we obtain 0.2/ωpe37ps and λDe 100 μm guaranteeing a high spatiotemporal resolution for the simulation.

The system is symmetric with respect to a centerline at x=0cm with Fig. 1 showing the right half of the cathode and plume regions used in the model. A Neumann boundary condition for the field solver is imposed at the symmetry axis, while particles crossing x=0cm are reflected back into the domain with the sign of their x-direction velocity flipped. The cathode, whose inner radius is 1 cm, is modeled as a conducting and grounded material that fully absorbs particles hitting its surface. The cathode also emits thermionic 0.15 eV electrons from the surface into the channel region. In contrast to other studies that rely on the Richardson–Dushman law30 to determine the electron flux emitted by the cathode wall, the flux is determined by a preset fixed current I. Therefore, the cathode is not self-consistently heated by ion bombardment. Secondary electron emissions are instead replaced by a constant injection of electrons whose velocity is sampled from a half Maxwellian with a temperature Te,inj=0.15eV. The temperature is therefore uniform along the cathode wall and remains constant. In the actual device, the temperature profile would be determined by ion bombardment, and the latter would also govern electron emission. For hollow cathodes used in space propulsion applications, fluid models28,33 and to some extent, PIC models49 have included such a self-consistent mechanism. However, this work primarily focuses on the electron thermalization process, which does not require a detailed description of electron emission and this aspect will be addressed in future research. The anode, located at y = Ly, is a fully conducting surface connected to an external circuit comprised of a current source I0, such that the electric potential at the anode adjusts automatically to receive this current. The implemented external circuit model is described in the work by Vahedi and DiPeso.70 A thin dielectric layer, enlarged for clarity in Fig. 1, connects the anode and the cathode, similar to the configuration of experimental plasma switches.14 When a particle hits the dielectric boundary, its charge is added to the nearest grid nodes by linear interpolation. Surface charge accumulating on the dielectric prevents a net current flow from leaking to the side at x = Lx. The plasma potential is obtained self-consistently by solving the 5-point discrete Poisson's equation using the PETSc linear algebra package71 with the generalized minimal residual (GMRES) solver. The electric field is then calculated from the potential using a second-order finite volume method.

In Table I, the main numerical parameters are reported for our reference case C0. Values of currents I and I0 are chosen such that the corresponding current densities, J and J0, computed in the present Cartesian geometry, are similar to those expected in a cylindrical hollow cathode for plasma switch application. J and J0 are computed by dividing the currents by the area A=Lc×1m as the off-plane direction defaults to one meter length. Other cases, labeled from C1 to C5, with different values for the external circuit and emitted current densities, J0 and J, will be considered in Sec. III C.

TABLE I.

PIC simulation parameters for hollow cathode switch simulation reference case C0.

Parameters Symbol Value Unit
Simulation domain 
Cell size  Δx  44  μ
Number of cells  Ncell  2273 × 1153   
Radial length  Lx  cm 
Axial length  Ly  10  cm 
Channel length  Lc  cm 
Channel radius  r  cm 
Operating conditions 
External circuit current density  J0  2.06  kA m−2 
Thermionic current  J  2.06  kA m−2 
Gas pressure  Pn  93  mTorr 
Injection temperature  Tinj,e  0.15  eV 
Computational parameters 
Time step  Δt  12.1  ps 
Permittivity scaling factor  εr  1057   
Parameters Symbol Value Unit
Simulation domain 
Cell size  Δx  44  μ
Number of cells  Ncell  2273 × 1153   
Radial length  Lx  cm 
Axial length  Ly  10  cm 
Channel length  Lc  cm 
Channel radius  r  cm 
Operating conditions 
External circuit current density  J0  2.06  kA m−2 
Thermionic current  J  2.06  kA m−2 
Gas pressure  Pn  93  mTorr 
Injection temperature  Tinj,e  0.15  eV 
Computational parameters 
Time step  Δt  12.1  ps 
Permittivity scaling factor  εr  1057   
When studying energy distribution functions within PIC simulations, it is crucial to discern real physical phenomena from artifacts such as numerical thermalization. Recent findings, notably in Ref. 72, highlight that numerical thermalization can be a prevalent issue in such simulations, where the phenomenon may inadvertently skew velocity distributions toward a Maxwellian profile at an artificially high rate, depending on the chosen numerical parameters. Since the main findings of our work rely heavily on measures of thermalization, it is critical to assess the impact of this numerical effect on our parameters. From the foundational work of Hockney,73 the thermalization time τtherm can be estimated using
(1)
where in our simulations Nppc700 represents the number of particles per cell in the channel, ωpe=5.20×109rad·s1 is the plasma frequency, Δx=44.2μm is the grid spacing, and λD=128μm the Debye length in the channel. This yields τtherm6.90μs, which, when compared with the thermalization time due to Coulomb collisions, τCoulomb=νee10.10 μs, is 20 times higher. Consequently, in our simulation setup, numerical thermalization has no significant influence on the results. This outcome is primarily attributed to the implementation of a scaled relative permittivity, which Ref. 72 identified as a mechanism to reduce the effect of numerical thermalization.

Figure 2 shows time-averaged 2D contour plots of the hollow cathode switch operating at steady state. Electrons are created at the thermionic surface of the cathode and then accelerate through the 1617V potential increase from the grounded wall to the centerline, as shown in Fig. 2(c). The energy gain is slightly above the ionization potential for argon, 15.76 eV, and so each injected electron may have the opportunity to ionize a single neutral, leading to frequent ionization events in the channel area as illustrated by Fig. 2(d). Similarly to what was observed in plasma switch experiments detailed in Ref. 16, this results in a dense diffuse glow discharge plasma in the channel, which, in the present work, leads to a maximum density of 9×1018m3 in the plasma bulk at x=0cm,y=2.5cm [Fig. 2(a)]. The plasma density drops near the non-emissive lower boundary as the potential monotonically goes to zero, which is the behavior typically observed in hollow cathode experiments and simulations.1,41

FIG. 2.

2D maps of physical quantities at steady state for the C0 case: (a) ion density ni, (b) current density magnitude J, (c) plasma potential ϕ, (d) ionization collision frequency νioniz, and (e) total electron temperature Te. The total electron temperature is defined as the average of the temperatures in the x, y, and z directions, respectively. Streamlines in (a), (b), and (c) are ion velocity vi, total current density J, and electric field E. In (a) and (c), iso-contours of the ion density ni and plasma potential ϕ are also shown, respectively. In (e), the white dashed lines indicate where 1D cuts are taken in Fig. 3.

FIG. 2.

2D maps of physical quantities at steady state for the C0 case: (a) ion density ni, (b) current density magnitude J, (c) plasma potential ϕ, (d) ionization collision frequency νioniz, and (e) total electron temperature Te. The total electron temperature is defined as the average of the temperatures in the x, y, and z directions, respectively. Streamlines in (a), (b), and (c) are ion velocity vi, total current density J, and electric field E. In (a) and (c), iso-contours of the ion density ni and plasma potential ϕ are also shown, respectively. In (e), the white dashed lines indicate where 1D cuts are taken in Fig. 3.

Close modal

Electrons from the dense plasma in the channel expand into the plume under the effects of the pressure gradient, and the density profile may be approximated by an analytical law (see  Appendix A for further details). As they accelerate through the narrow channel exit, the total current density J, driven primarily by electrons, dramatically increases, reaching a maximum of 2530 kA·m2 [Fig. 2(b)]. The current density present in our system generates a magnetic field of approximately 1 G. This field strength is insufficient to magnetize the electrons, and therefore, electromagnetic effects do not substantially impact the plasma dynamics. As expected for hollow cathode behavior, electrons are effectively extracted from the channel and eventually travel to the anode where they are absorbed. Overall, the plasma density within the plume reduces to one-tenth of the levels found in the channel area. This density drop from 1019 to 1018m3 is significantly less than that observed in hollow cathode used for electric propulsion, where plasma expansion into the vacuum leads to density drops from 1021 to 1017m3 as shown in Refs. 1 and 33. The plasma expansion is correlated with a slight drop in the total electron temperature as shown in Fig. 2(e). Here, total electron temperature is defined with respect to the pressure tensor and as the sum of the three directional components. Cooling of the plasma in this region is consistent with hollow cathodes used for electric propulsion.1,33

Figure 3 shows cross sections of the data from Fig. 2, allowing us to scrutinize the discharge behavior more closely. The cathode sheath, which is clearly visible in Fig. 3(e), leads to acceleration of thermionic electrons and a corresponding increase in Te,x as shown in Fig. 3(f). This temperature anisotropy is then relaxed by Coulomb collisions as the electrons propagate into the plasma bulk. These effects cannot be captured by fluid codes, which typically assume quasi-neutrality all the way up to the cathode wall.1,33,41 Although self-consistent modeling of the sheath can be achieved via multi-fluid moment models,74,75 such models should also account for an anisotropic pressure tensor,76,77 in order to accurately reproduce this behavior. Nonetheless, no fluid models are able to fully capture the non-Maxwellian nature of the EEDF; which, as will be shown in Sec. III B, is responsible for the observed anisotropy.

FIG. 3.

1D cuts of the main physical quantities at steady state in the channel and plume for case C0. Cuts are represented as white dashed lines in Fig. 2(e). Cuts at x = 0, x = 3, y = 3, and y = 8 are sorted by column. At the top row the ion density ni, the electron density ne, and the plasma potential ϕ are illustrated for the four cuts. At the bottom row, the electron current density Je,x and Je,y in the x and y directions, as well as the three electron temperature components Te,x,Te,y, and Te,z are depicted for the four cuts. Parts (d) and (f) show a temperature anisotropy near the anode and cathode wall, respectively. Parts (a) and (b) show the absence of a sheath near the anode wall.

FIG. 3.

1D cuts of the main physical quantities at steady state in the channel and plume for case C0. Cuts are represented as white dashed lines in Fig. 2(e). Cuts at x = 0, x = 3, y = 3, and y = 8 are sorted by column. At the top row the ion density ni, the electron density ne, and the plasma potential ϕ are illustrated for the four cuts. At the bottom row, the electron current density Je,x and Je,y in the x and y directions, as well as the three electron temperature components Te,x,Te,y, and Te,z are depicted for the four cuts. Parts (d) and (f) show a temperature anisotropy near the anode and cathode wall, respectively. Parts (a) and (b) show the absence of a sheath near the anode wall.

Close modal

Previous PIC modeling of hollow cathodes has not specifically addressed this temperature anisotropy, since although non-Maxwellian behavior is mentioned, no temperature plots are shown. In the channel, authors in Ref. 48 showed energy distribution functions, albeit limited to less than 20 eV. Since they observed a potential drop between the cathode and plasma bulk greater than 20 eV, the beam electrons, and associated anisotropy, are not represented. In Refs. 49 and 50, an EEDF in the plasma bulk is shown; however, this is limited to below 7 eV, whereas the potential drop is reported as 25eV. Although not visible in these simulations, we suspect that anisotropy in the EEDF and electron temperature are present but not depicted. In these PIC studies, it is important to note that electron–electron Coulomb collisions were not accounted for, which is the only physical mechanism able to thermalize the beam electrons. In our own simulations, failure to include Coulomb collisions significantly affected the plasma profiles in both the plume and channel, resulting in unphysical highly non-Maxwellian EEDFs.

In the anode region, the external circuit effectively adjusts the potential drop between the plasma and the surface. By ensuring that the electron current arriving at the anode matches the source current strength I0, the potential drop is kept moderate to prevent excessive repulsion of electrons. Consequently, a maximum potential drop of 3 V is observed in parts (a) and (c) of Fig. 3, which is insufficient to break local quasi-neutrality as the electron density does not decrease rapidly enough. As shown in a more detailed picture provided by Fig. 4, this absence of sheath translates into a mean ion velocity that increases up to 800m·s1, below supersonic speeds. Indeed, the Bohm velocity is found to be uBeTe/mi1.52×103m·s1, as the electron temperature is locally ∼1–1.5 eV. Therefore, the ion Mach number Mi peaks at 0.52 at the anode y=10cm whereas it exceeds 2 at the bottom of the cathode at y=0cm. At the top of the cathode, at y=5cm, the ion Mach number is also likely greater than unity due to the presence of a sheath, as illustrated in Fig. 3(c). Since a significant portion of electrons with moderate or high energy are allowed to escape at the anode, the electron velocity distribution function is preferentially depleted in the orthogonal direction to the anode wall (y direction). Thus, Te,y diverges from the two other temperature components as the plasma flow approaches the anode as shown in parts (b) and (d) of Fig. 3. This represents a second instance of temperature anisotropy observed in the system.

FIG. 4.

1D profile of the ion velocity vi,y, Bohm velocity uB, and ion Mach number Mi along the centerline of the domain at x=0cm shown in Fig. 2(e). The inset zooms in on the ion sheath at y=0cm revealing supersonic speed for ions.

FIG. 4.

1D profile of the ion velocity vi,y, Bohm velocity uB, and ion Mach number Mi along the centerline of the domain at x=0cm shown in Fig. 2(e). The inset zooms in on the ion sheath at y=0cm revealing supersonic speed for ions.

Close modal

As the plasma expands into the plume, an ambipolar electric field is created to ensure quasi-neutrality, while the electrons accelerate under pressure gradient effects. Thus, a slight decrease in plasma potential less than 2 V is visible in Fig. 3(a). This modest voltage drop between the channel and the anode was also reported in plasma switch experiments, in Ref. 16, but differs from what is observed in hollow cathodes used for electric propulsion, where experiments and simulations show an increase in plasma potential between the channel and the plume.1,33,34 Indeed, in these cases, the electrons can reach a sufficient velocity38,40 to trigger ion acoustic turbulences (IAT), elevating the now oscillating plasma potential in the plume. However, these effects are not observed in the current study, as the maximum electron drift velocity, ve, is approximately 105m·s1. When compared to the thermal speed, ve,th8×105m·s1, the electron Mach number remains below one, a necessary condition for the onset of IAT.

For completeness, the ion and electron densities, plasma potential, total current density, and the components of electron temperatures are shown at y=8cm in Figs. 3(g) and 3(h).

In Fig. 5(a), the electron energy distribution function (EEDF) at the channel centerline x=0cm and axial positions y = 3 cm and y = 4 cm shows two populations of electrons. In both cases, the first population comprises cold electrons, which follow a Maxwellian distribution fitted to a temperature of Te=2.4eV given by Eq. (2),
(2)
where ne,c represents the density of cold electrons. The second population comprises fast electrons, denoted by the subscript f, with an energy around 1617eV, which are those emitted from the cathode and accelerated through the potential drop in the sheath. Estimating the Coulomb collision frequency νee,f of this population is performed via the following equation:78 
(3)
where Λ is the Coulomb logarithm, ne,c is the density of the cold electron background, and Ef is the energy of the fast electrons. Electrons with energy 17eV produce a Coulomb collision frequency νee,f9.9×106s1, whereas ionization and excitation collisions with the background gas have frequencies of νioniz,f1.1×107s1 and νexcit,f3.9×107s1, respectively. Therefore, fast electrons are unable to sufficiently thermalize prior to undergoing excitation or ionization collision events, meaning that the effects of this high-energy tail persist into the plasma bulk. As a consequence, ionization processes are mostly driven by fast electrons and an accurate assessment of ionization therefore requires a kinetic treatment. Electrons stemming from a first excitation event are expected to have an energy of 5.5eV, which is too low for ionization. However, Coulomb collisions of such particles with the background of cold electrons occur with a frequency of 5.37×107s1>νexcit,f, meaning that such electrons are likely to thermalize shortly after excitation.
FIG. 5.

Energy distribution function of (a) electrons at y = 3 and 4 cm at the centerline, and of (b) ions at x = 0, 0.8, and 0.95 cm at y=3.5cm for reference case C0. In (a), the dashed lines represent the Maxwellian EEDFs that would best fit the low energy part of the PIC measurements. The dotted and dash-dotted lines are the ionization and excitation energy potential for argon, respectively. The EEDF exhibits a high-energy tail corresponding to beam electrons and the IEDF shows the acceleration of ions as they get closer to the sheath.

FIG. 5.

Energy distribution function of (a) electrons at y = 3 and 4 cm at the centerline, and of (b) ions at x = 0, 0.8, and 0.95 cm at y=3.5cm for reference case C0. In (a), the dashed lines represent the Maxwellian EEDFs that would best fit the low energy part of the PIC measurements. The dotted and dash-dotted lines are the ionization and excitation energy potential for argon, respectively. The EEDF exhibits a high-energy tail corresponding to beam electrons and the IEDF shows the acceleration of ions as they get closer to the sheath.

Close modal

Figure 5(b) shows the ion energy distribution function (IEDF) in the channel at different x locations, from the centerline up to near the cathode wall. In the plasma bulk, at x = 0 cm, ions follow a Maxwellian distribution. As ions approach the sheath, starting at x0.85 cm the IEDF becomes skewed due to ion acceleration [Fig. 3(e) at x = 0.80 cm and x = 0.95 cm]. Ions accelerate under the potential drop between the plasma bulk and the sheath with a theoretical terminal energy of 1617eV (not depicted).

Coulomb collisions, responsible for plasma Maxwellization, compete with inelastic processes, ionization, and excitation. Understanding when one is predominant over another is crucial to properly assess energy-related processes such as plasma production. Thus, our study was extended to various hollow cathode operating conditions to identify which regimes require a kinetic treatment or when a fluid approximation may suffice, specifically we investigate how the change in potential drop from the channel to the plume influences behavior. According to Eq. (3), the cold electron plasma density, determined by the injection current I, and the energy of fast particles, governed by the potential drop at the cathode wall are key parameters in this study. The potential drop can be tuned by the external current I0 set by the external circuit. Indeed, whenever I0>I, the hollow cathode must produce sufficient plasma to satisfy the global balance I0=I+IionizIloss, where Iioniz and Iloss are the current due to ionization and wall losses, respectively. An increase in plasma potential elevates the energy levels of emitted electrons and simultaneously enhances the confinement of cold electrons within the channel. This enhancement effectively raises IionizIloss, thereby supplying adequate current to the external circuit. The span of operating currents and associated potential drops for our different simulation cases are provided in Table II.

TABLE II.

Parametric analysis of varying current density values injected at the cathode and external circuit. The reference case is labeled C0.

Cases Emitted current density J (kA m−2) External circuit current density J0 (kA m−2) Potential difference between plasma bulk and cathode wall Δϕs (V)
C0  4.12  4.12  16.6 
C1  2.06  2.06  16.7 
C2  16.48  16.48  16.0 
C3  2.06  2.60  20.0 
C4  2.06  3.20  36.0 
C5  80  80  15.8 
Cases Emitted current density J (kA m−2) External circuit current density J0 (kA m−2) Potential difference between plasma bulk and cathode wall Δϕs (V)
C0  4.12  4.12  16.6 
C1  2.06  2.06  16.7 
C2  16.48  16.48  16.0 
C3  2.06  2.60  20.0 
C4  2.06  3.20  36.0 
C5  80  80  15.8 

The EEDFs for all cases within the bulk of the channel plasma, measured at the centerline x=0cm and y=3cm, are depicted in Fig. 6(a). Cases C0, C1, C2, and C5 maintain the equality J = J0, while increasing the discharge current that effectively controls the plasma density level in the channel. The presence of fast electrons is more pronounced in case C1, for which the emitted current and the plasma bulk density have been halved (J0=2.06kA·m2) with respect to case C0 (J0=4.12kA·m2). This trend correlates with a decrease in the frequency of Coulomb electron–electron collisions, attributable to the diminished electron density. In contrast, cases C2 and C5 present an electron density approximately three (ne2.65×1019m3) and twenty times higher (ne1.1×1020m3) than case C0, respectively. The resulting EEDF is closer to a Maxwellian as beam electrons thermalize more rapidly. In cases C3 and C4, the current density J is unchanged; however, the external circuit current density J0 is increased by 30% and 60%, respectively. In such cases, the beam electrons, accelerated through the cathode sheath, are fast enough to reach the center of the channel before thermalizing via Coulomb collisions. Thus, a clear local maximum in the EEDF is visible for case C3 at an energy close to the cathode voltage drop, i.e., 20V. In case C4, the scenario is more extreme with the measured cathode voltage drop approaching approximately ∼36 V, and a corresponding EEDF maximum is present at a similar energy. Accelerating through the sheath of this potential, electrons can ionize and excite neutral particles several times before joining the cold population, with the various collision pathways shown in Table III. A secondary local peak, observed at approximately 24.5 eV, can be attributed to 36 eV beam electrons that have undergone an excitation collision, considering that the excitation energy for argon is 11.5 eV. This is referred to as process P1 in Table III. Between 5 and 20.3 eV, the electron population decreases exponentially with higher energies. For these electrons, additional excitation of ionization processes is possible depending on their energy. For instance, 20.3 eV electrons are produced via process P2 and stem from 36 eV beam electrons that have ionized once, suffering a loss of 15.7 eV. Similarly, 24.5 eV electrons lead to the production of 13 and 8.8 eV electrons via excitation (process P3) and ionization (process P4), respectively. Electrons with an energy of 20 eV can ionize or excite (processes P5 and P6, respectively) one last time while 13 eV electrons can participate in one final excitation event, denoted as process P7 in Table III.

FIG. 6.

Assessment of kinetic effects in the hollow cathode under different operating conditions. (a) electron energy distribution function at the centerline at y=3cm in the channel for cases from C0 to C5 as described in Table II. The dotted and dash-dotted lines are the ionization and excitation energy potential for argon, respectively. (b) Estimation of the ratio β=νee,f/max{νioniz,f,νexcit,f}, for various electron beam energy levels and different plasma bulk densities for an argon gas at P0=93mTorr. Diamond symbols denote operating conditions for cases from C0 to C5.

FIG. 6.

Assessment of kinetic effects in the hollow cathode under different operating conditions. (a) electron energy distribution function at the centerline at y=3cm in the channel for cases from C0 to C5 as described in Table II. The dotted and dash-dotted lines are the ionization and excitation energy potential for argon, respectively. (b) Estimation of the ratio β=νee,f/max{νioniz,f,νexcit,f}, for various electron beam energy levels and different plasma bulk densities for an argon gas at P0=93mTorr. Diamond symbols denote operating conditions for cases from C0 to C5.

Close modal
TABLE III.

Set of inelastic processes with argon atoms and electrons can encounter in case C4. The ground state, metastable states, and ions of argon are denoted by Ar, Ar, and Ar+, respectively.

Process
P1  e1 (36 eV) + Ar Δ=11.5eVe1 (24.5 eV) + Ar 
P2  e1 (36 eV) + Ar Δ=15.7eVe1 (20.3 eV) + Ar+ + e1 
P3  e1 (24.5 eV) + Ar Δ=11.5eVe1 (13 eV) + Ar 
P4  e1 (24.5 eV) + Ar Δ=15.7eVe1 (8.8 eV) + Ar+ + e1 
P5  e1 (20.3 eV) + Ar Δ=15.7eVe1 (4.6 eV) + Ar+ + e1 
P6  e1 (20.3 eV) + Ar Δ=11.5eVe1 (8.8 eV) + Ar 
P7  e1 (13 eV) + Ar Δ=11.5eVe1 (1.5 eV) + Ar 
Process
P1  e1 (36 eV) + Ar Δ=11.5eVe1 (24.5 eV) + Ar 
P2  e1 (36 eV) + Ar Δ=15.7eVe1 (20.3 eV) + Ar+ + e1 
P3  e1 (24.5 eV) + Ar Δ=11.5eVe1 (13 eV) + Ar 
P4  e1 (24.5 eV) + Ar Δ=15.7eVe1 (8.8 eV) + Ar+ + e1 
P5  e1 (20.3 eV) + Ar Δ=15.7eVe1 (4.6 eV) + Ar+ + e1 
P6  e1 (20.3 eV) + Ar Δ=11.5eVe1 (8.8 eV) + Ar 
P7  e1 (13 eV) + Ar Δ=11.5eVe1 (1.5 eV) + Ar 

In case C4, at low energies, no excitation or ionization event can occur and Coulomb collisions thermalize electrons and the EEDF follows a Maxwellian distribution, with a temperature measured as 0.4eV. It is observed that as kinetic effects become increasingly pronounced, there is a noticeable reduction in the temperature of cold electrons. Indeed, in this regime, the beam electrons are mostly responsible for ionization and do not heat the bulk electrons. Thus, cases C3 and C4 have a cold electron temperature of 1.4 and 0.4 eV, whereas for cases with a nearly Maxwellian EEDF, such as C2 or C5  Te>2eV. Consequently, estimating the ionization rate based solely on a Maxwellian distribution that depends on the measured electron temperature Te would yield highly inaccurate results in the cases of C3 and C4.

Determining whether the hollow cathode is acting in a kinetic or fluid regime depends on how rapidly fast electrons, denoted f, emitted from the cathode insert are thermalized. For a given gas pressure and background electron density, and by taking into account the energy gain in the sheath, the collision frequency for a single electron for ionization, excitation, and Coulomb collisions can be easily computed. Comparison of the Coulomb collision frequency νee,f with the maximum of the ionization and excitation frequencies, denoted νexcit,f and νioniz,f, respectively, is quantified under various conditions typical of plasma switch applications79,80 and depicted in Fig. 6(b). It appears that whenever the EEDF deviates from a Maxwellian distribution, the ratio β defined in Eq. (4) is significantly less than unity, which echoes previous work by Tsendin.81–83 
(4)
Indeed, the condition β1 indicates that beam electrons cannot thermalize before entering the plasma bulk, allowing their specific signature to be observed in the EEDF within the bulk plasma. In this regime, kinetic theoretical or modeling approaches should be chosen. Conversely, whenever β1, cathode electrons are thermalized more quickly than they have time to undergo any inelastic collision, meaning they heat the bulk electrons and the EEDF rapidly becomes is Maxwellian. In this regime, a fluid theoretical or modeling approach may be appropriate.
As an example, the C0 case presents a small deviation from a Maxwellian distribution as shown in Figs. 5(a) and 6(a), and this can have important consequences on plasma production. The calculation of the overall ionization collision frequency is given by
(5)
where f is the EEDF normalized to unity, σioniz the ionization cross-section, and v(E)=2E/me is the electron velocity. For cases from C0 to C5, the ionization collision frequency νPIC is computed using the EEDF f obtained from the PIC simulation and presented in Fig. 5(b). These estimates are compared with the ionization collision frequency νMaxwell that is calculated assuming a hypothetical Maxwellian EEDF recalled in Eq. (2). The temperature of such an EEDF is determined by finding the best fit to the PIC data, as was done in Fig. 5(a). In case C0, according to Eq. (5), the PIC simulation yields an ionization collision frequency of νPIC7.5×104s1. In contrast, the Maxwellian fit derived from Fig. 5(a) estimates νMaxwell1.1×105s1. Consequently, the PIC model predicts a production rate approximately 68% lower than that estimated using a fluid approach. For case C3, which exhibits a pronounced high-energy tail, the ratio νPIC/νMaxwell35. This substantial discrepancy indicates a significant potential error in fluid modeling for this scenario. Conversely, when β>1 a fluid modeling proves to be sufficient. For instance, in Case C5, the ratio νPIC/νMaxwell is approximately 98%, indicating that fluid modeling is adequate.

The proposed criterion offers a valuable method for assessing the operational regime of various hollow cathodes documented in the literature. For a hollow cathode employed in space propulsion with xenon propellant,84 we have a density of approximately 5×1020m3 and an energy beam ranging between 10 and 15 V. This results in a β value of roughly 15, under the assumption of a pressure near 1 Torr. Consequently, a fluid treatment of electrons within the channel is appropriate, a conclusion corroborated by extensive research.28,34 In contrast, thermionic cathodes, with applications as current and voltage stabilizers,43,45,85 demonstrate a different behavior. These cathodes exhibit dual electron populations: a cold Maxwellian group and a fast electron beam. In experiments involving helium at 1 Torr, the cold electron density was reported as 5.35×1018m3, with a beam energy of 27 eV. This yields a β value of approximately 0.03, justifying the application of a kinetic treatment.

Finally, results from this study echo several findings from the investigation in Ref. 16. First, it is reported that the voltage drop in the cathode channel decreases as the current density in the external circuit increases and reaches a plateau for the tested noble gases, i.e., argon, helium, and xenon. The plateau value converges toward the ionization or excitation potential depending on whether direct or two-step ionization is the dominant mechanism for plasma formation. This trend is reproduced by our cases C1, C0, C2, and C5, for which J0 goes from 2.06 to 80kA·m2 and the measured potential drop ranges from 16.7 to 15.8 V. As two-step ionization is not modeled here, the potential cannot drop below the ionization potential and only direct ionization is possible. The authors in Ref. 16 also report that the ionization mechanism seems to vary with the plasma density, suggesting that, at low density, beam electrons directly ionize the neutral gas, whereas when the density is higher, beam electrons first heat the bulk electrons and the tail of the Maxwellian EEDF is then responsible for ionization. Although these two mechanisms are also identified in the present paper, the governing criterion depends on the parameter β instead of solely the plasma density. Depending on the regime they operate, accounting for the non-Maxwellian nature of the EEDF may be necessary for the modeling of hollow cathodes for plasma switches since it is reported in Ref. 16 that failing to do so led to systematic errors in their 0D fluid model.

A cross-comparison of cases C2, C4, and C5 is given in Fig. 7 to highlight the impact of the non-Maxwellian nature of the EEDF on the simulation results. For all cases, and similarly to case C0 described in Fig. 2, a dense plasma is created in the inner channel and then expands into the plume. The ions closely follow electric field lines, whereas, in the plume, the electrons' motion is determined by a balance between the density gradient and the electric field strength as detailed in  Appendix A. It is noteworthy that in case C5, in contrast to other cases, given the magnitude of the current density shown in Fig. 7(l), a fully electromagnetic code would probably be better suited. For this configuration, we would anticipate an induced magnetic field that would pinch the plasma column, making the plasma expansion less uniform. However, this should not influence the subsequent discussion regarding the impact of the ratio β on the various simulations. The non-Maxwellian EEDF impact is clearly visible in Case C4, for which the temperature anisotropy is very high near the cathode wall in Fig. 7(j). Since the potential fall between the plasma bulk and the grounded cathode is approximately 36 V, electrons strongly accelerate in the x direction, leading to a primarily heating of electrons in this direction up to 6 eV and numerous ionization collision events. As mentioned in the analysis of Fig. 6(a), the population of cold electrons in the plasma bulk, which follows a Maxwellian distribution, are not heated by fast electrons in the inner channel and the measured temperature is low at 0.4 eV.

FIG. 7.

Cross-comparison of cases C2, C4, and C5, exhibiting a ratio β1,β1 and β1, respectively. Row 1 [parts (a), (b), (c), (d), (e)], Row 2 [parts (f), (g), (h), (i), (j)], and Row 3 [parts (k), (l), (m), (n), (o)] correspond to cases C2, C4, and C5, respectively. Column 1, 2, 3, 4, and 5 correspond to the ion density ni [parts (a), (f), (k)], the current density magnitude J [parts (b), (g), (l)], the plasma potential ϕ [parts (c), (h), (m)], the ionization collision frequency νioniz [parts (d), (i), (n)], and the total electron temperature Te [parts (e), (j), (o)], respectively. Streamlines of the ion velocity vi, total current density J, and electric field E are shown in columns 1, 2, and 3, respectively. In columns 1 and 3, iso-contours of the ion density ni and plasma potential ϕ are also shown, respectively. Case C4 exhibits a pronounced non-Maxwellian EEDF in the inner channel.

FIG. 7.

Cross-comparison of cases C2, C4, and C5, exhibiting a ratio β1,β1 and β1, respectively. Row 1 [parts (a), (b), (c), (d), (e)], Row 2 [parts (f), (g), (h), (i), (j)], and Row 3 [parts (k), (l), (m), (n), (o)] correspond to cases C2, C4, and C5, respectively. Column 1, 2, 3, 4, and 5 correspond to the ion density ni [parts (a), (f), (k)], the current density magnitude J [parts (b), (g), (l)], the plasma potential ϕ [parts (c), (h), (m)], the ionization collision frequency νioniz [parts (d), (i), (n)], and the total electron temperature Te [parts (e), (j), (o)], respectively. Streamlines of the ion velocity vi, total current density J, and electric field E are shown in columns 1, 2, and 3, respectively. In columns 1 and 3, iso-contours of the ion density ni and plasma potential ϕ are also shown, respectively. Case C4 exhibits a pronounced non-Maxwellian EEDF in the inner channel.

Close modal

In the plume area, as the EEDF relaxes to a Maxwellian, the electrons warm up and the temperature rises to 2 eV. In contrast, for case C5, for which the EEDF is very close to a Maxwellian, electrons are already heated by the fast electrons stemming from the cathode and the temperature is close to 2.2 eV as shown in Fig. 7(o). In the plume, the temperature only slightly drops as the plasma expands. Case C2 exhibits a similar behavior as case C5: in the inner channel, most ionization events occur in the plasma bulk and the electron temperature is close to 2–2.5 eV. The main visible difference between case C2 and C5 is the plasma density, which is approximately ten times higher. This is not too surprising as the EEDF in case C2 only exhibits a slight deviation from a Maxwellian as illustrated in Fig. 8. However, this disparity is sufficient to lead to slightly wrong estimates of the ionization collision frequency in the plasma bulk. For case C3, according to Eq. (5), the PIC simulation yields an ionization collision frequency of νPIC6.9×104s1. In contrast, the Maxwellian fit derived from Fig. 5(a) estimates νMaxwell9.8×105s1. Therefore, an error of ∼20% would be made in this case, which could probably lead to a noticeable but moderate discrepancy if a fluid model were to be used.

FIG. 8.

Energy distribution function electrons at y = 3 and 4 cm at the centerline for case C2 for which β1. The dashed lines represent the Maxwellian EEDFs that would best fit the low energy part of the PIC measurements. The dotted and dash-dotted lines are the ionization and excitation energy potential for argon, respectively. The EEDF exhibits a modest high-energy tail as shown by the arrow when compared to the reference case C0 in Fig. 5(a).

FIG. 8.

Energy distribution function electrons at y = 3 and 4 cm at the centerline for case C2 for which β1. The dashed lines represent the Maxwellian EEDFs that would best fit the low energy part of the PIC measurements. The dotted and dash-dotted lines are the ionization and excitation energy potential for argon, respectively. The EEDF exhibits a modest high-energy tail as shown by the arrow when compared to the reference case C0 in Fig. 5(a).

Close modal

In this paper, 2D3V PIC simulations of an argon hollow cathode for plasma switch application have been performed. Analysis of the energy distribution functions for both ions and electrons revealed that non-Maxwellian behavior can occur in the channel region. It was found that a Maxwellian EEDF is present only when the thermalization of electrons occurs sufficiently fast. This happens when Coulomb collisions are frequent enough to transfer energy from the beam electrons to the cold electron population before they have time to ionize or excite neutral particles. The ratio β=νee,f/max{νioniz,f,νexcit,f}, as defined in Eq. (4), compares the electron–electron collision frequency with the maximum collision frequency between direct ionization and excitation for fast beam electrons and serves as a straightforward criterion to determine whether fluid or kinetic modeling approaches are suitable for hollow cathode simulations. Whenever β1, then beam electrons quickly thermalize and a fluid model is sufficient to describe the system. In contrast, if β1, then beam electrons play an essential role in ionization processes and the EEDF in the plasma bulk is not Maxwellian, requiring a kinetic treatment. The transition from a kinetic to fluid regime occurs around β1, as shown in Fig. 6(b). We found that for most hollow cathodes used in space propulsion, a fluid treatment of electrons in the channel is a reasonable assumption, which is reflected by state-of-the-art models.34,41 In contrast, some applications related to plasma deposition processes86 or to a plasma switch16 may operate in regimes for which a kinetic treatment is required.

To further our understanding of the ionization mechanism, particularly within hollow cathodes utilized in plasma switch applications, several follow-up studies are possible. First, modeling two-step ionization processes by tracking metastable species would reveal under which conditions they become more dominant than direct ionization. Refining such prediction could be a useful input for future design as it was suggested in Ref. 16 that metastables may have an effect on the potential drop in these devices. Finally, in order to help the design of future devices, it would certainly be beneficial to account for a self-consistent thermionic electron injection scheme, one which depends on the cathode temperature, and accounts for self-induced magnetic field generated by high currents.

The information, data, or work presented herein was funded in part by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under Award Number DE-AR0001107. The views and opinions of authors expressed herein do not necessarily state or reflect those of the United States Government or any agency thereof. The authors thank Dr. David J. Smith and Dr. Svetlana E. Selezneva for fruitful discussions. This research was supported by the U.S. Department of Energy, Office of Fusion Energy Science under Contract No. DE-AC02-09CH11466 as a part of the Princeton Collaborative Low Temperature Plasma Research Facility.

The authors have no conflicts to disclose.

Willca Villafana: Conceptualization (equal); Data curation (equal); Formal analysis (equal); Investigation (equal); Methodology (equal); Software (equal); Validation (equal); Visualization (equal); Writing – original draft (equal). Andrew Tasman Powis: Conceptualization (equal); Formal analysis (supporting); Methodology (supporting); Writing – review & editing (lead). Sarveshwar Sharma: Formal analysis (supporting); Visualization (supporting); Writing – review & editing (equal). Igor D. Kaganovich: Conceptualization (equal); Formal analysis (supporting); Funding acquisition (lead); Investigation (supporting); Project administration (lead); Supervision (lead); Writing – review & editing (equal). Alexander V. Khrabrov: Formal analysis (supporting); Software (supporting).

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Understanding how the plasma expands in the plume can be better understood by evaluating the contributions of the different terms in the steady-state momentum equation
(A1)
where the index s{e,i} denotes electrons and ions, and index α represents the x or y coordinate. q and νtot are the charge of the species and the total collision frequency, respectively. For ions, νtot,i is the charge exchange collision frequency, while for electrons, this encompasses elastic, excitation, and ionization collisions. All quantities, i.e., velocity, collision frequency, temperature, or electric field, are self-consistently obtained from the PIC simulation, and Fig. 9 shows the momentum balance in the x direction, for both electrons and ions. A similar momentum balance in the y direction can also be derived but is omitted here for brevity, as it demonstrates a balance between the same critical terms shown in Fig. 9. This figure reveals that the ion motion within the plasma bulk is mostly governed by the electric field. As shown in Fig. 9(a), the electron motion is determined by competing effects between the deceleration caused by the electric field and collisions, and acceleration caused by the pressure gradient, mainly attributable to the density drop. Based on PIC simulation data, we assume the temperature for ions and electrons to be mostly uniform in regions distant from the walls, respectively, located at y = 5, x = 5, and y = 10. Our preliminary analysis leads us to approximate the ion temperature, Ti, at 0.02eV, and the electron temperature, Te, at 1.5eV. Based on these observations, a number of small terms can be removed from the momentum balance, simplifying it to,
(A2)
FIG. 9.

Momentum balance in x direction at y=8cm for (a) electrons and (b) ions. For electrons, the density gradient, the Lorentz force, and the collision terms are found to be the most important. For ions, the Lorentz force and the collision terms are predominant.

FIG. 9.

Momentum balance in x direction at y=8cm for (a) electrons and (b) ions. For electrons, the density gradient, the Lorentz force, and the collision terms are found to be the most important. For ions, the Lorentz force and the collision terms are predominant.

Close modal
Assuming quasi-neutrality nine and no ionization in the plume, we obtain a Laplace-diffusion equation for ni, Δni=0. This equation is solved by separation of variables in Cartesian coordinates, with appropriate boundary conditions and the general solution can be written as
(A3)
where αm is a coefficient determined by the boundary condition ni(x,Ly)0 and nc is the plasma density in the channel at y = 5, either measured from the PIC simulation or obtained by estimates in the channel. In cylindrical coordinates, the plasma plume expansion would involve Bessel functions of the first kind Jm instead of sinusoidal functions. Any profile of nc can be used, but in this case, we choose to select a constant value for simplicity.

In the present estimate, the value of nc=9×1018m3, corresponding to the maximum density found in the channel is used instead of 1018m3, which is the approximate average value measured at the channel exit (y=5cm). The model described by Eq. (A3) assumes the electron temperature to be uniform, particularly in the y direction. However, the pressure gradient is also due to a slight temperature drop in the plume and this effect further accelerates electrons. Thus, in the PIC simulation, this additional contribution tends to extract more electrons from the cathode and so the plasma density in the plume is therefore expected to be slightly higher than the model estimate. Adjusting the parameter nc to a higher value, we obtain density magnitudes that are consistent with the PIC data, as illustrated in Figs. 10(a) and 10(b). In Fig. 10(b), with this adjustment the density profile in the x direction is slightly overpredicted at y = 7 cm. This could be attributed to the fact that a uniform density is assumed at the channel exit (y = 5 cm), whereas the density drops to 0 near at the upper left corner of the cathode as shown in Fig. 2(a). At y = 8 cm and y = 9 cm in Fig. 10(b) density profiles are slightly underestimated most likely due to the aforementioned uniform temperature assumption. Despite these discrepancies, the overall profile and trend in both the x and y directions are reasonably predicted, which is a crucial input for hollow cathodes designed for plasma switch applications.

FIG. 10.

Steady-state profiles of density from the EDIPIC simulation (solid line) and from the model given by Eq. (A3). (a) Profile in the y direction at location x = 2, 3, and 4 cm. (b) Profile in the y direction at location y = 6, 7, and 8 cm.

FIG. 10.

Steady-state profiles of density from the EDIPIC simulation (solid line) and from the model given by Eq. (A3). (a) Profile in the y direction at location x = 2, 3, and 4 cm. (b) Profile in the y direction at location y = 6, 7, and 8 cm.

Close modal
1.
D. M.
Goebel
,
G.
Becatti
,
I. G.
Mikellides
, and
A.
Lopez Ortega
, “
Plasma hollow cathodes
,”
J. Appl. Phys.
130
,
050902
(
2021
).
2.
D. R.
Lev
,
I. G.
Mikellides
,
D.
Pedrini
,
D. M.
Goebel
,
B. A.
Jorns
, and
M. S.
McDonald
, “
Recent progress in research and development of hollow cathodes for electric propulsion
,”
Rev. Mod. Plasma Phys.
3
,
6
(
2019
).
3.
D. E.
Siegfried
and
P. J.
Wilbur
, “
A model for mercury orificed hollow cathodes—Theory and experiment
,”
AIAA J.
22
,
1405
1412
(
1984
).
4.
M.
Krishnan
,
R. G.
Jahn
,
W. F.
von Jaskowsky
, and
K. E.
Clark
, “
Physical processes in hollow cathodes
,”
AIAA J.
15
,
1217
1223
(
1977
).
5.
P.-Y. C. R.
Taunay
,
C. J.
Wordingham
, and
E. Y.
Choueiri
, “
Physics of thermionic, orificed hollow cathodes: I. Theory and experimental validation
,”
Plasma Sources Sci. Technol.
31
,
055006
(
2022
).
6.
P.-Y. C. R.
Taunay
,
C. J.
Wordingham
, and
E. Y.
Choueiri
, “
Physics of thermionic orificed hollow cathodes: II. Scaling laws and design rules
,”
Plasma Sources Sci. Technol.
31
,
075004
(
2022
).
7.
D. M.
Goebel
and
A. T.
Forrester
, “
Plasma studies on a hollow cathode, magnetic multipole ion source for neutral beam injection
,”
Rev. Sci. Instrum.
53
,
810
815
(
1982
).
8.
P. P.
Deichuli
,
G. F.
Abdrashitov
,
A. A.
Ivanov
,
V. V.
Kolmogorov
,
V. V.
Mishagin
,
G. I.
Shul'zhenko
,
N. V.
Stupishin
,
D.
Beals
, and
R.
Granetz
, “
Ion source with LaB6 hollow cathode for a diagnostic neutral beam injector
,”
Rev. Sci. Instrum.
77
,
03B514
(
2006
).
9.
H.
Morgner
,
M.
Neumann
,
S.
Straach
, and
M.
Krug
, “
The hollow cathode: A high-performance tool for plasma-activated deposition
,”
Surf. Coat. Technol.
108–109
,
513
519
(
1998
).
10.
Y. S.
Kuo
,
R. F.
Bunshah
, and
D.
Okrent
, “
Hot hollow cathode and its applications in vacuum coating: A concise review
,”
J. Vac. Sci. Technol., A
4
,
397
402
(
1986
).
11.
H.
Baránková
and
L.
Bardos
, “
Hollow cathode and hybrid plasma processing
,”
Vacuum
80
,
688
692
(
2006
).
12.
D.
Child
,
D.
Gibson
,
F.
Placido
, and
E.
Waddell
, “
Enhanced hollow cathode plasma source for assisted low pressure electron beam deposition processes
,”
Surf. Coat. Technol.
267
,
105
110
(
2015
).
13.
T. S.
Matlock
,
D. M.
Goebel
,
R.
Conversano
, and
R. E.
Wirz
, “
A DC plasma source for plasma–material interaction experiments
,”
Plasma Sources Sci. Technol.
23
,
025014
(
2014
).
14.
D. M.
Goebel
,
R. L.
Poeschel
, and
R. W.
Schumacher
, “
Low voltage drop plasma switch for inverter and modulator applications
,”
Rev. Sci. Instrum.
64
,
2312
2319
(
1993
).
15.
D. M.
Goebel
, “
Cold-cathode, pulsed-power plasma discharge switch
,”
Rev. Sci. Instrum.
67
,
3136
3148
(
1996
).
16.
A. I.
Meshkov
,
C. A.
Trotter
,
T. J.
Sommerer
, and
D. J.
Smith
, “
Electrical and thermal characteristics of LaB6 thermionic hollow cathodes operating in He, D2, Ar, and Xe at 4–200 Pa and 0.25–5 A cm−2
,”
Phys. Plasmas
31
,
013503
(
2024
).
17.
D. M.
Goebel
,
K. K.
Jameson
,
I.
Katz
, and
I. G.
Mikellides
, “
Potential fluctuations and energetic ion production in hollow cathode discharges
,”
Phys. Plasmas
14
,
103508
(
2007
).
18.
C.
Dodson
, “
Ion energy and wave propagation in a hollow cathode plume
,” Ph.D. thesis (
University of California
,
2018
).
19.
A.
Suzuki
,
K.
Kinefuchi
,
D.
Ichihara
,
S.
Cho
,
H.
Watanabe
, and
K.
Kubota
, “
Energetic ion and plasma oscillation measurements during plume mode operation of a hollow cathode
,”
Phys. Plasmas
30
,
072105
(
2023
).
20.
E.
Saridede
and
M.
Celik
, “
LaB6 hollow cathode with a novel graphite heater
,”
Vacuum
216
,
112383
(
2023
).
21.
P. P.
Guerrero Vela
, “
Plasma surface interactions in LaB6 hollow cathodes with internal Xe gas discharge
,” Ph.D. thesis (
California Institute of Technology
,
2019
).
22.
D.
Pedrini
,
R.
Albertoni
,
F.
Paganucci
, and
M.
Andrenucci
, “
Modeling of LaB6 hollow cathode performance and lifetime
,”
Acta Astronaut.
106
,
170
178
(
2015
).
23.
D.
Goebel
and
I.
Katz
,
Fundamentals of Electric Propulsion: Ion and Hall Thrusters
, JPL Space Science and Technology Series (
Wiley
,
2008
).
24.
P.-Y.
Taunay
,
C. J.
Wordingham
, and
E.
Choueiri
, “
A 0-D Model for orificed hollow cathodes with application to the scaling of total pressure
,” in
AIAA Propulsion and Energy 2019 Forum
(
American Institute of Aeronautics and Astronautics
,
2019
).
25.
A.
Gurciullo
,
A. L.
Fabris
, and
T.
Potterton
, “
Numerical study of a hollow cathode neutraliser by means of a zero-dimensional plasma model
,”
Acta Astronaut.
174
,
219
235
(
2020
).
26.
I.
Katz
,
J. R.
Anderson
,
J. E.
Polk
, and
J. R.
Brophy
, “
One-dimensional hollow cathode model
,”
J. Propul. Power
19
,
595
600
(
2003
).
27.
M.
Panelli
,
A.
Smoraldi
,
V.
De Simone
, and
F.
Battista
, “
Development and validation of simplified 1D models for hollow cathode analysis and design
,”
Aerotec. Missili Spazio.
97
,
49
59
(
2018
).
28.
I. G.
Mikellides
,
I.
Katz
,
D. M.
Goebel
, and
J. E.
Polk
, “
Hollow cathode theory and experiment. II. A two-dimensional theoretical model of the emitter region
,”
J. Appl. Phys.
98
,
113303
(
2005
).
29.
I. G.
Mikellides
,
I.
Katz
,
D. M.
Goebel
,
J. E.
Polk
, and
K. K.
Jameson
, “
Plasma processes inside dispenser hollow cathodes
,”
Phys. Plasmas
13
,
063504
(
2006
).
30.
S.
Dushman
, “
Electron emission from metals as a function of temperature
,”
Phys. Rev.
21
,
623
636
(
1923
).
31.
I. G.
Mikellides
and
I.
Katz
, “
Wear mechanisms in electron sources for ion propulsion, I: Neutralizer hollow cathode
,”
J. Propul. Power
24
,
855
865
(
2008
).
32.
I.
Mikellides
,
I.
Katz
,
D.
Goebel
,
J.
Snyder
, and
D.
Herman
, “
Neutralizer hollow cathode simulations and validation with experiments
,” in
45th AIAA/ASME/SAE/ASEE Joint Propulsion Conference & Exhibit
(
American Institute of Aeronautics and Astronautics
,
2009
).
33.
G.
Sary
,
L.
Garrigues
, and
J.-P.
Boeuf
, “
Hollow cathode modeling: I. A coupled plasma thermal two-dimensional model
,”
Plasma Sources Sci. Technol.
26
,
055007
(
2017
).
34.
G.
Sary
,
L.
Garrigues
, and
J.-P.
Boeuf
, “
Hollow cathode modeling: II. Physical analysis and parametric study
,”
Plasma Sources Sci. Technol.
26
,
055008
(
2017
).
35.
S.
Cong
,
R.
Wu
,
L.
Mu
,
J.
Sun
, and
D.
Wang
, “
A 2D model for low-pressure hollow cathode arc discharges in argon
,”
J. Phys. D: Appl. Phys.
52
,
045205
(
2018
).
36.
I. G.
Mikellides
,
I.
Katz
,
D. M.
Goebel
, and
K. K.
Jameson
, “
Evidence of nonclassical plasma transport in hollow cathodes for electric propulsion
,”
J. Appl. Phys.
101
,
063301
(
2007
).
37.
M. P.
Georgin
and
M. S.
McDonald
, “
Experimental evaluation of the 2D non-classical ohmic transport model for electrons in the hollow cathode plume
,”
J. Appl. Phys.
130
,
203301
(
2021
).
38.
B. A.
Jorns
,
I. G.
Mikellides
, and
D. M.
Goebel
, “
Ion acoustic turbulence in a 100-A LaB6 hollow cathode
,”
Phys. Rev. E
90
,
063106
(
2014
).
39.
S.
Tsikata
,
K.
Hara
, and
S.
Mazouffre
, “
Characterization of hollow cathode plasma turbulence using coherent Thomson scattering
,”
J. Appl. Phys.
130
,
243304
(
2021
).
40.
K.
Hara
and
C.
Treece
, “
Ion kinetics and nonlinear saturation of current-driven instabilities relevant to hollow cathode plasmas
,”
Plasma Sources Sci. Technol.
28
,
055013
(
2019
).
41.
I. G.
Mikellides
,
D. M.
Goebel
,
B. A.
Jorns
,
J. E.
Polk
, and
P.
Guerrero
, “
Numerical simulations of the partially ionized gas in a 100-A LaB6 hollow cathode
,”
IEEE Trans. Plasma Sci.
43
,
173
184
(
2015
).
42.
I. G.
Mikellides
,
D. M.
Goebel
,
J. S.
Snyder
,
I.
Katz
, and
D. A.
Herman
, “
The discharge plasma in ion engine neutralizers: Numerical simulations and comparisons with laboratory data
,”
J. Appl. Phys.
108
,
113308
(
2010
).
43.
E.
Bogdanov
,
V. I.
Demidov
,
I. D.
Kaganovich
,
M. E.
Koepke
, and
A. A.
Kudryavtsev
, “
Modeling a short DC discharge with thermionic cathode and auxiliary anode
,”
Phys. Plasmas
20
,
101605
(
2013
).
44.
A. S.
Mustafaev
,
V. I.
Demidov
,
I.
Kaganovich
,
S. F.
Adams
,
M. E.
Koepke
, and
A.
Grabovskiy
, “
Control of current and voltage oscillations in a short DC discharge making use of external auxiliary electrode
,”
Rev. Sci. Instrum.
83
,
103502
(
2012
).
45.
A. S.
Mustafaev
,
V. I.
Demidov
,
I. D.
Kaganovich
,
M. E.
Koepke
, and
A.
Grabovskiy
, “
Sharp transition between two regimes of operation of dc discharge with two anodes and thermionic emission from cathode
,”
Phys. Plasmas
21
,
053508
(
2014
).
46.
K.
Kubota
,
Y.
Oshio
,
H.
Watanabe
,
S.
Cho
,
Y.
Ohkawa
, and
I.
Funaki
, “
Hybrid-PIC simulation on plasma flow of hollow cathode
,”
Trans. Jpn. Soc. Aeronaut. Space Sci., Aerosp. Technol. Jpn.
14
,
189
195
(
2016
).
47.
K.
Kubota
,
Y.
Oshio
,
K.
Torii
,
Y.
Okuno
,
H.
Watanabe
,
S.
Cho
, and
I.
Funaki
, “
Comparisons between Hybrid-PIC simulation and plume plasma measurements of LaB6 hollow cathode
,”
36th International Electric Propulsion Conference
,
Vienna, Austria
,
2019
.
48.
D.
Levko
,
Y. E.
Krasik
,
V.
Vekselman
, and
I.
Haber
, “
Two-dimensional model of orificed micro-hollow cathode discharge for space application
,”
Phys. Plasmas
20
,
083512
(
2013
).
49.
S.
Cao
,
J.
Ren
,
H.
Tang
,
Z.
Zhang
,
Y.
Wang
,
J.
Cao
, and
Z.
Chen
, “
Numerical simulation of plasma power deposition on hollow cathode walls using particle-in-cell and Monte Carlo collision method
,”
Phys. Plasmas
25
,
103512
(
2018
).
50.
S.
Cao
,
J.
Ren
,
H.
Tang
,
R.
Pan
,
Z.
Zhang
,
K.
Zhang
, and
J.
Cao
, “
Modeling on plasma energy balance and transfer in a hollow cathode
,”
J. Phys. D: Appl. Phys.
52
,
285202
(
2019
).
51.
CIGRE
, “
Design, test, and application of HVDC circuit breakers
,”
Technical Report No. 873
(
International Council on Large Electric Systems
,
2022
).
52.
CIGRE,
Medium voltage direct current (MVDC) grid feasibility study
,”
Technical Report No. 793
(
International Council on Large Electric Systems
,
2020
).
53.
CIGRE,
Technical requirements and specifications of state-of-the-art HVDC switching equipment
,”
Technical Report No. 683
(
International Council on Large Electric Systems
,
2017
).
54.
See https://github.com/PrincetonUniversity/EDIPIC-2D for “
EDIPIC-2D/Doc at main
·
PrincetonUniversity/EDIPIC-2D.
55.
T.
Charoy
,
J. P.
Boeuf
,
A.
Bourdon
,
J. A.
Carlsson
,
P.
Chabert
,
B.
Cuenot
,
D.
Eremin
,
L.
Garrigues
,
K.
Hara
,
I. D.
Kaganovich
,
A. T.
Powis
,
A.
Smolyakov
,
D.
Sydorenko
,
A.
Tavant
,
O.
Vermorel
, and
W.
Villafana
, “
2D axial-azimuthal particle-in-cell benchmark for low-temperature partially magnetized plasmas
,”
Plasma Sources Sci. Technol.
28
,
105010
(
2019
).
56.
W.
Villafana
,
F.
Petronio
,
A. C.
Denig
,
M. J.
Jimenez
,
D.
Eremin
,
L.
Garrigues
,
F.
Taccogna
,
A.
Alvarez-Laguna
,
J. P.
Boeuf
,
A.
Bourdon
,
P.
Chabert
,
T.
Charoy
,
B.
Cuenot
,
K.
Hara
,
F.
Pechereau
,
A.
Smolyakov
,
D.
Sydorenko
,
A.
Tavant
, and
O.
Vermorel
, “
2D radial-azimuthal particle-in-cell benchmark for E × B discharges
,”
Plasma Sources Sci. Technol.
30
,
075002
(
2021
).
57.
M. M.
Turner
,
A.
Derzsi
,
Z.
Donkó
,
D.
Eremin
,
S. J.
Kelly
,
T.
Lafleur
, and
T.
Mussenbrock
, “
Simulation benchmarks for low-pressure plasmas: Capacitive discharges
,”
Phys. Plasmas
20
,
013507
(
2013
).
58.
L.
Xu
,
H.
Sun
,
D.
Eremin
,
S.
Ganta
,
I.
Kaganovich
,
K.
Bera
,
S.
Rauf
, and
X.
Wu
, “
Rotating spokes, potential hump and modulated ionization in radio frequency magnetron discharges
,”
Plasma Sources Sci. Technol.
32
,
105012
(
2023
).
59.
H.
Sun
,
S.
Banerjee
,
S.
Sharma
,
A. T.
Powis
,
A. V.
Khrabrov
,
D.
Sydorenko
,
J.
Chen
, and
I. D.
Kaganovich
, “
Direct implicit and explicit energy-conserving particle-in-cell methods for modeling of capacitively coupled plasma devices
,”
Phys. Plasmas
30
,
103509
(
2023
).
60.
H.
Sun
,
J.
Chen
,
I. D.
Kaganovich
,
A.
Khrabrov
, and
D.
Sydorenko
, “
Electron modulational instability in the strong turbulent regime for an electron beam propagating in a background plasma
,”
Phys. Rev. Lett.
129
,
125001
(
2022
).
61.
S.
Rauf
,
D.
Sydorenko
,
S.
Jubin
,
W.
Villafana
,
S.
Ethier
,
A.
Khrabrov
, and
I.
Kaganovich
, “
Particle-in-cell modeling of electron beam generated plasma
,”
Plasma Sources Sci. Technol.
32
,
055009
(
2023
).
62.
S. H.
Son
,
G.
Go
,
W.
Villafana
,
I. D.
Kaganovich
,
A.
Khrabrov
,
H.-C.
Lee
,
K.-J.
Chung
,
G.-S.
Chae
,
S.
Shim
,
D.
Na
, and
J. Y.
Kim
, “
Unintended gas breakdowns in narrow gaps of advanced plasma sources for semiconductor fabrication industry
,”
Appl. Phys. Lett.
123
,
232108
(
2023
).
63.
K.
Hara
,
T.
Robertson
,
J.
Kenney
, and
S.
Rauf
, “
Effects of macroparticle weighting in axisymmetric particle-in-cell Monte Carlo collision simulations
,”
Plasma Sources Sci. Technol.
32
,
015008
(
2023
).
64.
S. A.
Maiorov
, “
Ion drift in a gas in an external electric field
,”
Plasma Phys. Rep.
35
,
802
812
(
2009
).
65.
S.
Pancheshnyi
,
S.
Biagi
,
M.
Bordage
,
G.
Hagelaar
,
W.
Morgan
,
A.
Phelps
, and
L.
Pitchford
, “
The LXCat project: Electron scattering cross sections and swarm parameters for low temperature plasma modeling
,”
Chem. Phys.
398
,
148
153
(
2012
).
66.
K.
Nanbu
, “
Theory of cumulative small-angle collisions in plasmas
,”
Phys. Rev. E
55
,
4642
4652
(
1997
).
67.
C. K.
Birdsall
and
A. B.
Langdon
,
Plasma Physics via Computer Simulation
(
McGraw-Hill
,
New York
,
1985
).
68.
F.
Taccogna
,
F.
Cichocki
,
D.
Eremin
,
G.
Fubiani
, and
L.
Garrigues
, “
Plasma propulsion modeling with particle-based algorithms
,”
J. Appl. Phys.
134
,
150901
(
2023
).
69.
F.
Taccogna
and
P.
Minelli
, “
Three-dimensional particle-in-cell model of Hall thruster: The discharge channel
,”
Phys. Plasmas
25
,
061208
(
2018
).
70.
V.
Vahedi
and
G.
DiPeso
, “
Simultaneous potential and circuit solution for two-dimensional bounded plasma simulation codes
,”
J. Comput. Phys.
131
,
149
163
(
1997
).
71.
S.
Balay
,
S.
Abhyankar
,
M. F.
Adams
,
S.
Benson
,
J.
Brown
,
P.
Brune
,
K.
Buschelman
,
E. M.
Constantinescu
,
L.
Dalcin
,
A.
Dener
,
V.
Eijkhout
,
J.
Faibussowitsch
,
W. D.
Gropp
,
V.
Hapla
,
T.
Isaac
,
P.
Jolivet
,
D.
Karpeev
,
D.
Kaushik
,
M. G.
Knepley
,
F.
Kong
,
S.
Kruger
,
D. A.
May
,
L. C.
McInnes
,
R. T.
Mills
,
L.
Mitchell
,
T.
Munson
,
J. E.
Roman
,
K.
Rupp
,
P.
Sanan
,
J.
Sarich
,
B. F.
Smith
,
S.
Zampini
,
H.
Zhang
,
H.
Zhang
, and
J.
Zhang
, see https://petsc.org/ for “
PETSc Web page
” (
2023
).
72.
S.
Jubin
,
A. T.
Powis
,
W.
Villafana
,
D.
Sydorenko
,
S.
Rauf
,
A. V.
Khrabrov
,
S.
Sarwar
, and
I. D.
Kaganovich
, “
Numerical thermalization in 2D PIC simulations: Practical estimates for low-temperature plasma simulations
,”
Phys. Plasmas
31
,
023902
(
2024
).
73.
R.
Hockney
, “
Measurements of collision and heating times in a two-dimensional thermal computer plasma
,”
J. Comput. Phys.
8
,
19
44
(
1971
).
74.
V.
Joncquieres
,
O.
Vermorel
, and
B.
Cuenot
, “
A fluid formalism for low-temperature plasma flows dedicated to space propulsion in an unstructured high performance computing solver
,”
Plasma Sources Sci. Technol.
29
,
095005
(
2020
).
75.
R.
Sahu
,
A. R.
Mansour
, and
K.
Hara
, “
Full fluid moment model for low temperature magnetized plasmas
,”
Phys. Plasmas
27
,
113505
(
2020
).
76.
U.
Shumlak
,
R.
Lilly
,
N.
Reddell
,
E.
Sousa
, and
B.
Srinivasan
, “
Advanced physics calculations using a multi-fluid plasma model
,”
Comput. Phys. Commun.
182
,
1767
1770
(
2011
).
77.
A. H.
Hakim
, “
Extended MHD modelling with the ten-moment equations
,”
J. Fusion Energy
27
,
36
43
(
2008
).
78.
J. D. J. D.
Huba
,
NRL Plasma Formulary
(
Naval Research Laboratory
,
Washington, DC
,
1950
).
79.
A.
Meshkov
,
J.
Trotter
,
D.
Smith
, and
A.
Yakimov
, “
Plasma behavior for LaB6 thermionic hollow cathode in low-pressure deuterium
,” in
APS Annual Gaseous Electronics Meeting Abstracts
(
APS
,
2020
).
80.
A.
Meshkov
,
J.
Trotter
,
D.
Smith
, and
A.
Yakimov
, “
Performance and life measurements of LaB6 thermionic hollow cathodes
,” in
APS Annual Gaseous Electronics Meeting Abstracts
(
APS
,
2021
), p.
PR21.007
.
81.
L. D.
Tsendin
, “
Electron kinetics in non-uniform glow discharge plasmas
,”
Plasma Sources Sci. Technol.
4
,
200
211
(
1995
).
82.
L. D.
Tsendin
, “
Nonlocal electron kinetics in gas-discharge plasma
,”
Phys. Usp.
53
,
133
(
2010
).
83.
L. D.
Tsendin
, “
Electron kinetics in glows—From Langmuir to the present
,”
Plasma Sources Sci. Technol.
18
,
014020
(
2009
).
84.
D. M.
Goebel
,
K. K.
Jameson
,
R. M.
Watkins
,
I.
Katz
, and
I. G.
Mikellides
, “
Hollow cathode theory and experiment. I. Plasma characterization using fast miniature scanning probes
,”
J. Appl. Phys.
98
,
113302
(
2005
).
85.
V. I.
Demidov
,
C. A.
DeJoseph
, and
V. Y.
Simonov
, “
Gas-discharge plasma sources for nonlocal plasma technology
,”
Appl. Phys. Lett.
91
,
201503
(
2007
).
86.
D. R.
Boris
,
M. J.
Johnson
,
C. R.
Eddy
, and
S. G.
Walton
, “
Hollow cathode enhanced capacitively coupled plasmas in Ar/N2/H2 mixtures and implications for plasma enhanced ALD
,”
J. Vac. Sci. Technol., B
40
,
044002
(
2022
).