- •Preface
- •Contents
- •1 Nonideal plasma. Basic concepts
- •1.1 Interparticle interactions. Criteria of nonideality
- •1.1.1 Interparticle interactions
- •1.1.2 Coulomb interaction. Nonideality parameter
- •1.1.4 Compound particles in plasma
- •1.2.2 Metal plasma
- •1.2.3 Plasma of hydrogen and inert gases
- •1.2.4 Plasma with multiply charged ions
- •1.2.5 Dusty plasmas
- •1.2.6 Nonneutral plasmas
- •References
- •2.1 Plasma heating in furnaces
- •2.1.1 Measurement of electrical conductivity and thermoelectromotive force
- •2.1.2 Optical absorption measurements.
- •2.1.3 Density measurements.
- •2.1.4 Sound velocity measurements
- •2.2 Isobaric Joule heating
- •2.2.1 Isobaric heating in a capillary
- •2.2.2 Exploding wire method
- •2.3 High–pressure electric discharges
- •References
- •3.1 The principles of dynamic generation and diagnostics of plasma
- •3.2 Dynamic compression of the cesium plasma
- •3.3 Compression of inert gases by powerful shock waves
- •3.4 Isentropic expansion of shock–compressed metals
- •3.5 Generation of superdense plasma in shock waves
- •References
- •4 Ionization equilibrium and thermodynamic properties of weakly ionized plasmas
- •4.1 Partly ionized plasma
- •4.2 Anomalous properties of a metal plasma
- •4.2.1 Physical properties of metal plasma
- •4.2.2 Lowering of the ionization potential
- •4.2.3 Charged clusters
- •4.2.4 Thermodynamics of multiparticle clusters
- •4.3 Lowering of ionization potential and cluster ions in weakly nonideal plasmas
- •4.3.1 Interaction between charged particles and neutrals
- •4.3.2 Molecular and cluster ions
- •4.3.3 Ionization equilibrium in alkali metal plasma
- •4.4 Droplet model of nonideal plasma of metal vapors. Anomalously high electrical conductivity
- •4.4.1 Droplet model of nonideal plasma
- •4.4.2 Ionization equilibrium
- •4.4.3 Calculation of the plasma composition
- •4.5 Metallization of plasma
- •4.5.3 Phase transition in metals
- •References
- •5.1.1 Monte Carlo method
- •5.1.2 Results of calculation
- •5.1.4 Wigner crystallization
- •5.1.5 Integral equations
- •5.1.6 Polarization of compensating background
- •5.1.7 Charge density waves
- •5.1.8 Sum rules
- •5.1.9 Asymptotic expressions
- •5.1.10 OCP ion mixture
- •5.2 Multicomponent plasma. Results of the perturbation theory
- •5.3 Pseudopotential models. Monte Carlo calculations
- •5.3.1 Choice of pseudopotential
- •5.5 Quasiclassical approximation
- •5.6 Density functional method
- •5.7 Quantum Monte Carlo method
- •5.8 Comparison with experiments
- •5.9 On phase transitions in nonideal plasmas
- •References
- •6.1 Electrical conductivity of ideal partially ionized plasma
- •6.1.1 Electrical conductivity of weakly ionized plasma
- •6.2 Electrical conductivity of weakly nonideal plasma
- •6.3 Electrical conductivity of nonideal weakly ionized plasma
- •6.3.1 The density of electron states
- •6.3.2 Electron mobility and electrical conductivity
- •References
- •7 Electrical conductivity of fully ionized plasma
- •7.1 Kinetic equations and the results of asymptotic theories
- •7.2 Electrical conductivity measurement results
- •References
- •8 The optical properties of dense plasma
- •8.1 Optical properties
- •8.2 Basic radiation processes in rarefied atomic plasma
- •8.5 The principle of spectroscopic stability
- •8.6 Continuous spectra of strongly nonideal plasma
- •References
- •9 Metallization of nonideal plasmas
- •9.1 Multiple shock wave compression of condensed dielectrics
- •9.1.1 Planar geometry
- •9.1.2 Cylindrical geometry
- •9.3 Metallization of dielectrics
- •9.3.1 Hydrogen
- •9.3.2 Inert gases
- •9.3.3 Oxygen
- •9.3.4 Sulfur
- •9.3.5 Fullerene
- •9.3.6 Water
- •9.3.7 Dielectrization of metals
- •9.4 Ionization by pressure
- •References
- •10 Nonneutral plasmas
- •10.1.1 Electrons on a surface of liquid He
- •10.1.2 Penning trap
- •10.1.3 Linear Paul trap
- •10.1.4 Storage ring
- •10.2 Strong coupling and Wigner crystallization
- •10.3 Melting of mesoscopic crystals
- •10.4 Coulomb clusters
- •References
- •11 Dusty plasmas
- •11.1 Introduction
- •11.2 Elementary processes in dusty plasmas
- •11.2.1 Charging of dust particles in plasmas (theory)
- •11.2.2 Electrostatic potential around a dust particle
- •11.2.3 Main forces acting on dust particles in plasmas
- •11.2.4 Interaction between dust particles in plasmas
- •11.2.5 Experimental determination of the interaction potential
- •11.2.6 Formation and growth of dust particles
- •11.3 Strongly coupled dusty plasmas and phase transitions
- •11.3.1 Theoretical approaches
- •11.3.2 Experimental investigation of phase transitions in dusty plasmas
- •11.3.3 Dust clusters in plasmas
- •11.4 Oscillations, waves, and instabilities in dusty plasmas
- •11.4.1 Oscillations of individual particles in a sheath region of gas discharges
- •11.4.2 Linear waves and instabilities in weakly coupled dusty plasmas
- •11.4.3 Waves in strongly coupled dusty plasmas
- •11.4.4 Experimental investigation of wave phenomena in dusty plasmas
- •11.5 New directions in experimental research
- •11.5.1 Investigations of dusty plasmas under microgravity conditions
- •11.5.2 External perturbations
- •11.5.3 Dusty plasma of strongly asymmetric particles
- •11.5.4 Dusty plasma at cryogenic temperatures
- •11.5.5 Possible applications of dusty plasmas
- •11.6 Conclusions
- •References
- •Index
266 ELECTRICAL CONDUCTIVITY OF PARTIALLY IONIZED PLASMA
interatomic correlation and ignoring the latter. The scatterers were assumed to interact as hard spheres of radius δ. Interatomic repulsion limits the ρ(E) tail.
6.3.2Electron mobility and electrical conductivity
The linear response theory permits writing exact initial expressions for the kinetic coe cients. In particular, as long as the linear relationship between current and field is valid (Ohm’s law), the electrical conductivity is expressed in terms of a correlation function of currents and, hence, velocities. Neglecting quantum e ects we have
σµν (ω) = (nee2β) vν (0)vµ(t) exp(−iωt − δt)dt, δ = +0. (6.29)
Here, ne is the concentration of electrons, ω the external field frequency, andvν (0)vµ(t) is the time autocorrelator of electron velocities. The averaging is performed over the electron velocity distribution and over the position of scatterers,
. . . = A |
dv exp |
− 2 |
|
dR1 . . . dRN Ω−N exp (−βVa) × (. . .), |
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|
βmv2 |
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|
where A is the normalization constant of averaging. The expression for static electrical conductivity σ ≡ σxx(0) can be rewritten as
∞ |
|
σ = (e2/m) −∞ ne(E)τ (E)dE. |
(6.30) |
Here, τ (E) is the autocorrelation time of an electron with energy E (in a medium of massive scatterers the electron energy can be regarded as constant). The value of τ (E) is given by the following expression:
∞ |
ϕE (t) = vx(0)vx(t) / vx(0)2 |
, |
(6.31) |
τ (E) = −∞ ϕE (t)dt, |
|||
|
0 |
1 |
|
where ϕE (t) is the autocorrelation function of the electron velocity, and vx is the velocity component in the direction of electric field.
In a rarefied gas, τ (E) is inversely proportional to the free path between two successive collisions of the electron with atoms. The integration range is restricted by positive energies. Therefore, Eq. (6.30) reduces to Lorentz’s formula. It is only for very fast electrons that an ideal–gas approximation of the free time of flight is valid. In a dense system, electrons with di erent energies make substantially di erent contributions to the electrical conductivity. Let us discuss
these contributions and follow Hensel and Franck (1968).
√
If naW0/kT 1 most of the conduction electrons are not free even if their energy is positive. They are constantly in the field of scatterers. This field is an alternation of “wells” and “hills” with the most probable depths (heights) close
CONDUCTIVITY OF NONIDEAL WEAKLY IONIZED PLASMA |
267 |
√
to naW0 and space dimensions of the order of l. The value of l corresponds to
the correlation length of the field of scatterers; it is close to the e ective range
√
of the potential V (r). Therefore, slow electrons with E < naW0 travel with velocities v (naW0)1/4/√m which exceed thermal velocities. The electrons are scattered from density fluctuations. Apparently, τ is close to the time of flight of the field correlation length, i.e., close to l/v.
The electrons of the ρ(E) tail make no contribution to static conductivity
because they correspond to low–mobility clusters. However, electrons with nega-
√
tive energies of lower absolute value, |E| < naW0, may be conduction electrons. The point is that field fluctuations lead to the emergence of “percolation channels”. The possibility of formation of percolation channels permeating the entire macroscopic volume of the medium is a sharp, practically step, function of energy (Shklovskii and Efros 1984). The minimum energy, starting from which the electrons contribute to conductivity, is referred to as the percolation energy EP. Let us now determine EP for a classical particle in an arbitrary pattern of potential energy U (r). It is equal to such a minimum value of energy at which it is
still possible to find a region in space in which U (r) < EP and which permeates
√
the entire plasma volume. Numerical modelling shows that EP −0.3 naW0.
Consequently, along with electrons of positive energies, electrons with negative
√
energies (E > EP) are conduction electrons. If naW0/kT 1, it is the electrons in the percolation energy range which make the major contribution to
σ.
The most detailed information on the electron dynamics is contained in the correlation function ϕE (t). It is only for fast electrons that ϕE (t) = exp(−t/τ ) where τ = ν−1 and ν is the frequency of successive electron–atom collisions. The correlator ϕE (t) in the case of low positive energies decreases nonexponentially, but under the Gaussian law ϕE (t) = exp(−t2/τ 2), where τ = l/v. Finally, the correlator of trapped electrons oscillates, ϕE (t) = cos ω0t, where ω0 is the natural frequency of electron oscillation in the potential well of the cluster. This gives the autocorrelation time τ close to zero.
The peculiarities of the behavior of the velocity autocorrelation function for di erent values of relative energy ε (calculated from the mean field level and normalized to the potential depth g) are well defined in Fig. 6.8, taken from Lagar’kov and Sarychev (1975). These results were obtained from molecular dynamics simulation of the electron dynamics. At positive energies, the electron is free and ϕε(t ) decays monotonically (t is dimensionless time). With an energy decrease, the function ϕε(t ) acquires a minimum: The electron is as though trapped until it finds a passage (percolation channel) in a field of complex shape. In these conditions the autocorrelation time τ (ε) is still substantially di erent from zero. With further decrease of energy, the electron becomes localized.
Figure 6.9 illustrates the di usion coe cient of electrons in the same medium, D = 0∞ vx(0)vx(t) ε dt. This quantity goes to zero at the energy correponding to the percolation threshold.
Based on ρ(E) and D(E), Lagar’kov and Sarychev (1979) calculated from
268 ELECTRICAL CONDUCTIVITY OF PARTIALLY IONIZED PLASMA
.
.
Fig. 6.8. Autocorrelation function of electron velocity ϕ vs. dimensionless times t for several values of relative energy ε (Lagar’kov and Sarychev 1975) and na = 4.8 · 1021 cm−3.
Eq. (6.30) the conductivity of mercury plasma in a wide range of temperatures and densities (Fig. 6.10). Good agreement is observed both with experiment and with qualitative assumptions on the initial stage of the “metal–dielectric” transition.
6.4The thermoelectric coe cient
In the presence of a temperature gradient, Ohm’s law assumes the form
F + (1/e) µ = (1/σ)j + S T. |
(6.32) |
The left–hand part includes µ, the gradient of the chemical potential of electrons. The thermoelectric coe cient S appears in the right–hand part.
In a Lorentz gas, the thermoelectric coe cient is calculated analogously to the coe cient of electrical conductivity (see, for example, Section 6.1 and Lifshitz and Pitaevskii 1981). The electron distribution function is f = f0 + δf , f0 exp [(µ − E)/kT ], where E = mv2/2 is the electron energy and δf is a small correction which is linear on the field and gradients of the chemical potential and temperature. Proceeding from the kinetic equation
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eF ∂f0 |
∂f0 |
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− |
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+ v |
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= −ν(v)δf, |
(6.33) |
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m |
∂v |
∂r |
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we get for δf |
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δf = |
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f0 |
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(eF + µ)v + f |
µ − E |
v T. |
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−kT ν(v) |
0 kT 2ν(v) |
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The thermoelectric coe cient is calculated from the coe cient in the equation j = −sσ T at eF + µ = 0. The current is
THE THERMOELECTRIC COEFFICIENT |
269 |
Fig. 6.9. Energy–dependent electron di usion coe cient D(ε) (Lagar’kov and Sarychev
1975). Designations are the same as in Fig. 6.8; na = 4.8 · 1021 cm−3. |
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j = −ene |
vδf dv. |
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Finally, we get for the thermoelectric coe cient |
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S = eT µ − |
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0∞ |
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E3/2 |
/ν(E) |
exp(−βE)dE . |
(6.34) |
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1 |
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∞ |
+ |
E5/2 |
/ν(E) exp( βE)dE |
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0 |
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− |
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+ |
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In a weakly ionized plasma under conditions when I kT , the thermoelectric coe cient is mainly defined by the temperature dependence of the degree of ionization. Because µ ≈ kT ln(neλ3), then, in view of Saha’s equation (4.5), we have
S |
≈ |
+− |
a |
|
3/2 |
|
− |
const.T |
, ≈ − |
I/2eT. |
(6.35) |
|
(1/eT ) |
I/2 + (kT /2) ln(n |
λ3) |
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In a strongly ionized plasma, ν E− |
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, and equation (6.34) yields |
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S = (1/eT )(µ − 4kT ). |
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(6.36) |
This expression is valid only if Z >> 1. For small values of Z, electron–electron collisions a ect the thermoelectric electrical conductivity coe cients. A discussion of this problem may be found in Kraeft et al. (1985).
Figure 6.11 gives the results of calculation by Redmer et al. (1990) of the thermoelectric coe cient of cesium on isobars. The calculation procedure is close to
270 ELECTRICAL CONDUCTIVITY OF PARTIALLY IONIZED PLASMA
ohm cm
.
Fig. 6.10. Isotherms of electrical conductivity of mercury plasma (Lagar’kov and Sarychev 1975). Dots indicate the measurements (Hensel and Franck 1968), and curves the calculation at T = 1823 K (1), 2200 K (2), 2600 K (3), 3000 K (4), 4000 K (5), 5000 K (6), 6000 K (7), 7000 K (8), 10 000 K (9), 15 000 K (10). The dashed line defines the region with the degree of ionization is smaller than 0.1.
that developed by researchers from the Rostock group to calculate the coe cient of electrical conductivity (see Section 7.3). Also shown in Fig. 6.11 is the behavior of the asymptotes for fully ionized (6.36) and weakly ionized (6.35) plasmas. These asymptotes correlate well with the numerical calculation results. Note that the calculation covers the T ≤ 3000 K range, in which the e ect of nonideality is still fairly small. At lower temperature (at about 2000 K), a sharp increase of the absolute magnitude of S occurs, due to the dielectric–metal transition (Fig. 4.2).
We will now turn to the discussion of the thermoelectric coe cient of a nonideal plasma. In a weakly nonideal plasma, one should use the equation of ionization equilibrium, which contains the quantity (I − ∆I) instead of the ionization potential I and allows for the presence of complex ions in the plasma composition. Then, we assume, for example, that the ionization equilibrium on the subcritical isobars of metal vapors is mainly defined by the A+3 and A− ions, and derive
S = [−I − (E3 + E5 − E2)]/(2eT ), |
(6.37) |
where the designations of Table 4.9 are used. In Figure 4.2 results following from relations (6.36) and (6.37) are shown.
As was discussed in Section 4.2 on supercritical isobars the e ect of nonideality shows up as a decrease of the ionization potential rather than as a variation
THE THERMOELECTRIC COEFFICIENT |
271 |
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T K |
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50 MPa |
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mV K−1 |
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Fig. 6.11. Thermoelectric coe cient of cesium on isobars (Redmer et al. 1990). Solid curves indicate the isobars of a partly ionized plasma; dashed curves, asymptotes (6.36); dot–dashed curves, asymptote (6.35).
of the composition of charged components of plasma. Then, we use expression (4.9) to derive
S = |
− |
(I |
− |
∆I)/2eT = [ |
I + kT (n |
/n )]/(2eT ). |
(6.38) |
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− |
a |
a |
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Hence it follows that the quantity S(T ) must have a minimum on the isobars. Indeed, at low temperature |S| increases with heating, because ∆I decreases. At high temperature, however, |S| decreases inversely proportional to T . The existence of a minimum of S was predicted by Alekseev et al. (1970),
|S|min ≈ 1 mV/K.
Expression (6.35) may be transcribed to
S = −∆E/(2eT ), |
(6.39) |
where ∆E = 2kT 2(d ln σ/dT ) is the temperature coe cient of conductivity. The quantity ∆E is sometimes referred to as the “transport energy gap”. One can use formula (6.39) to obtain S if σ is known. In Figure 6.12, this is done for cesium. At low temperature, the thermoelectric coe cient of liquid cesium is proportional to temperature, S T /eEF, because d ln σ/d ln EF is almost independent of temperature (Lifshitz and Pitaevskii 1981). At high temperature, in accordance with (6.35), the thermoelectric coe cient of a weakly ionized plasma is
272 ELECTRICAL CONDUCTIVITY OF PARTIALLY IONIZED PLASMA
µV K−1
MPa
. |
. |
. |
103 K |
Fig. 6.12. Isobars of the thermoelectric coe cient for cesium, calculated by Alekseev et
al. (1970).
inversely proportional to T . The intermediate region, in which the thermoelectric coe cient varies sharply, corresponds to the metal–dielectric transition.
The pattern described above corresponds to the measurements results shown in Fig. 4.2. The subcritical isobars (2 and 6 MPa) are shown in this drawing in accordance with the theory of the metal–dielectric transition discussed in Section 4.5 (Iakubov and Likalter 1987).
Lagar’kov and Sarychev (1979) studied the thermoelectric coe cient using molecular dynamics simulation. The general expression
S = (1/eT ) µ − |
∞ ρ(E)τ (E)E exp(−βE)dE |
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−∞∞ |
ρ(E)τ (E) exp( |
− |
βE)dE |
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−∞ |
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allows one to calculate S provided ρ(E) and τ (E) are known. Figure 6.13 shows supercritical isobars of thermoelectric coe cient for mercury calculated in this way. Good agreement with experimental data (Alekseev et al. 1976; Schmutzler and Hensel 1973) is observed.
It is known that the thermoelectric coe cient is very sensitive to slight variations of the state of substances. Therefore, the value of the thermoelectric co- e cient may su er drastic variations in the neighborhood of the critical point (at ρ ρc). Neale and Cusack (1979) registered such variations on the 170 MPa isobar for mercury.
Note that many of the interesting problems associated with the behavior of the thermoelectric coe cient in the region of the metal–dielectric transition