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A Summary of the Introduction and Importance of Quantum Plasmas

Written By

Jyoti

Submitted: 09 October 2022 Reviewed: 23 November 2022 Published: 20 December 2022

DOI: 10.5772/intechopen.109121

From the Edited Volume

Plasma Science - Recent Advances, New Perspectives and Applications

Edited by Sukhmander Singh

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Abstract

In this chapter, we will discuss the quantum plasmas that have their applications mainly in miniaturized semiconductors, optical fibers, waveguides, nanoplasmonics, and astrophysical systems. Quantum plasmas are the least explored field owing to the astronomical applications of classical plasmas. In this chapter we will discuss how quantum plasmas can be studied and which system of equations will be easier to follow. We will discuss the easiest method possible and more popular way to explore the quantum plasmas for the sake of understanding of a new reader to this subject.

Keywords

  • quantum plasmas
  • instabilities
  • fluid equations
  • normal mode analysis
  • plasma physics

1. Introduction

Plasma physics examines a system of charged particles that communicate with one another through the application of electromagnetic forces. At the start of the 20th century, researchers' interest in the physics of gas discharges sparked the beginning of the field of study known as plasma physics. Plasmas have been the subject of a significant amount of research, both experimental and theoretical, ever since the end of World War II. This is primarily because of the potential applications of nuclear fusion for both military (the hydrogen bomb) and civilian purposes (the production of energy through controlled thermonuclear fusion). It should not come as a surprise that plasma physics was created simultaneously by both astrophysicists and geophysicists given the widespread belief that around 90 percent of all matter and energy in the observable universe exists in the form of plasma. Plasmas can be observed in a variety of locations, including the atmosphere of the Sun, the magnetosphere of the earth, as well as the interplanetary and interstellar media.

Plasma physics is generally considered to be an entirely classical subject of study. The last ten years have seen a recent uptick in people’s interest in plasma systems, which are places where quantum effects play a key role.

Maxwell-Boltzmann statistics are frequently observed in space plasmas and laboratory plasmas because their densities are low even at temperatures that are rather high. At these temperatures, the de Broglie wavelength is not considerably impacted for electrons and ions.

When compared to the interparticle separation that occurs in plasmas, the thermal de Broglie wavelength of ions and electrons is easily observable in dense plasmas that are kept at low temperatures. Under these conditions, the quantum effect becomes more significant than the classical one. This is because of the significant overlap of matter waves that are connected with particles. Ions, degenerate light particles (such electrons and positrons), and holes are said to be in a dense state in quantum plasmas. Due to the large overlap of matter waves associated with particles in such circumstances, the quantum effect becomes more significant than the classical one. Quantum plasmas are described as having ions, degenerate light particles (such as electrons and positrons), and holes in a dense state. HEMT transistors, resonant tunneling diodes, and metallic nanostructures are examples of quantum semiconductor devices that exhibit plasmas with fermionic properties. Astrophysical systems also exhibit these properties (such as neutron stars, and white dwarfs). Quantum diodes, biophotonics, and ultra-small electrical devices can all be seen to share the same features.

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2. Comparison of various methodologies for quantum plasmas

Over the past few decades, there has been an extraordinary amount of focus placed on the electrical properties of nanoscale objects [1, 2, 3, 4], particularly when such qualities are triggered into action by electromagnetic radiation. This field of research encompasses a wide range of nano-objects, such as semiconductor quantum dots, carbon nanotubes, metallic films, and nanoparticles; novel substances, such as graphene; and meta-materials, the composition of which can be tailored to display certain electromagnetic properties. Impressive potential applications include efficient high-performance computing (efficient storage and transfer of information), nanoplasmonics (optical filters, waveguides) [5, 6], and even in medical sciences (biomedical diagnostics and sensors) [7, 8]. These applications are all possible thanks to the properties of graphene. The electronic responses of such systems, which are frequently in the nonlinear and out-of-equilibrium zones, can be compared to those of a one-component quantum plasma and can be handled at various degrees of approximation. This comparison is possible because the electronic responses of such systems are frequent in these zones.

In order to account for quantum effects, the currently accepted classical theory for plasma needs to undergo some significant revisions. To properly account for this change, a suitable mathematical formalism is required. Several different research approaches have been established for the study of quantum plasmas. Techniques such as time-dependent density functional theory (TDDFT) and time-dependent Hartree–Fock (TDHF) are examples of such techniques. Although TDDFT and TDHF are wavefunction-based methods, they can be restated in the phase-space language that is common among plasma physicists by utilizing Wigner functions. This will allow the methods to be more easily understood.

Both the wavefunction and the phase space approaches need a significant amount of time and memory to employ, which is especially problematic in systems that contain hundreds of electrons.

Fluid models, which may be generated using the applicable kinetic equations (Wigner for a totally quantum approach or Vlasov for semiclassical modelling), offer the possibility of a cheaper alternative [9]. These models can be constructed by employing velocity moments of the distribution function. The fluid technique should be accurate enough to provide important insights into the underlying physical mechanisms while at the same time remaining affordable in terms of processing cost, despite the fact that some information will inevitably be lost throughout the course of this process. This is because some information cannot be recovered once it has been lost. Similar to their classical analogues, the validity of quantum fluid models is limited to long wavelengths in relation to the interparticle distance [10]. This is because quantum fluids behave differently from classical fluids. They are, nevertheless, capable of handling large excitations, Coulomb exchange (an effect associated to the Pauli exclusion principle), electron-electron correlations, and quantum processes such as tunnelling.

In the fluid approach, the dynamics of the electrons are modelled by a series of hydrodynamic equations (continuity, momentum balance, and energy balance), which incorporate quantum effects through the use of the so-called Bohm potential. When compared to Wigner or TDDFT simulations, one can anticipate a significant reduction in the amount of time required for computing. This is because TDDFT methods are required to solve N minus one Schrodinger-like equations, whereas the phase space approach doubles the number of independent variables (positions and velocities).

In the past, the field of condensed-matter physics made use of hydrodynamic models, primarily for semiconductors [11] and, to a lesser extent, for metal clusters [12, 13]. In more recent times, the concept of the quantum fluid has been expanded to include still another significant quality of the electron, which is referred to as its spin [14]. The resulting fluid equations are much more involved than their spinless counterparts, but they may find useful applications in the emerging field of spintronics [15] in condensed-matter physics and in the study of highly polarised electron beams [16] in plasma physics. Both of these fields are related to the study of condensed matter physics. Further applications of quantum fluid theory include dense plasmas, which are created when solid targets interact with intense laser beams [17], warm dense matter experiments [18], quantum nanoplasmonics [19, 20, 21, 22], and compact astrophysical objects, such as white dwarf stars [23].

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3. Fluid approach for quantum plasmas

Quantum mechanical effects start playing a significant role when the Wigner-Seitz radius (average interparticle distance) a=34πn1/3 is comparable to or smaller than the thermal de Broglie wavelength λB=mVT , where m is the mass of the quantum particles (e.g., degenerate electrons, degenerate positrons, degenerate holes), VT=kBTm1/2 is the thermal speed of the quantum particles, T is the temperature, m is the mass, and kB is the Boltzmann constant, i.e., when

nλB31,E1

or, equivalently, when the temperature T is comparable to or lower than the Fermi temperature TF=EFkB , where the Fermi energy is

EF=22m3π22/3n2/3E2

The relevant degeneracy parameter for the quantum plasma is

TFT=123π22/3nλB32/31E3

For typical metallic densities of free electrons, n5×1022 cm−3, we have TF6×104 K, which should be compared with the usual temperature T.

When the plasma particle temperature approaches TF , one can show, by using a density matrix formalism [24], that the equilibrium distribution function changes from the Maxwell-Boltzmann expE/kBT to the Fermi-Dirac (FD) distribution function

fFD=2m/2π31+expEμkBT1E4

where in the nonrelativistic limit the energy is E=m/2v2=m/2vx2+vy2+vz2. The chemical potential is denoted byμ . The parameter μ/kBT is large and negative in the nondegenerate limit, and is large and positive in the completely degenerate limit.

It is useful to define the quantum coupling parameters for electron-electron and ion-ion interactions. The electron-electron Coulomb coupling parameter is defined as the ratio of the electrostatic interaction energy Eint=e2/ae between electrons and the electron Fermi energy EFe=kBTFe, where e is the magnitude of the electron charge and ae=3/4πne1/3 is the mean interelectron distance. We have

Te=EintEFe0.31neλFe32/30.3ωpekBTFe2E5

where λFe=VFe/ωpe, is the electron Fermi speed, and ωpe=4π2ne2/me1/2 the electron plasma frequency. Furthermore, the ion-ion Coulomb coupling parameter isΓi=Zi2e2/aikBTi, where Zi is the ion charge state, ai=3/4πni1/3 is the mean inter-ion distance, and Ti is the ion temperature. Since Te for metallic plasmas could be larger than unity, it is of interest to enquire the role of interparticle collisions on collective processes in a quantum plasma. It turns that the Pauli blocking reduces the collision rate for most practical purposes [25, 26]. Because of Pauli blocking, only electrons with a shell of thickness kBT about the Fermi surface suffer collisions. For these electrons, the electron-electron collision frequency is proportional to kBT=. The average collision frequency among all electrons turns out to be [25]

vee=kBT2TFeE6

Typically, veeωpe when TTFe, which is relevant for metallic electrons. On the other hand, the typical time scale for electron-ion (lattice) collisions is τei10fs , which is 1 order of magnitude greater than the electron plasma period. Accordingly, a collisionless quantum plasma regime is relevant for phenomena appearing on the time scale of the order of a femtosecond in a metallic plasma.

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4. Various systems of equations

4.1 The QHD equation

The nonrelativistic QHD equations [27] have been developed in condensed matter physics [28] and in plasma physics [9, 25]. The nonrelativistic QHD equations are composed of the electron continuity equation

net+.uene=0E7

the electron momentum equation

meuet+up.ue=eφ1nepe+FQ=0E8

and Poisson’s equation

2φ=4πeneZiniE9

In a quantum plasma with nonrelativistic degenerate electrons, the quantum statistical pressure in the zero electron temperature limit can be modeled as [9, 29]

pe=meVFe2n03nen0D+2/DE10

where D is the number of space dimension of the system and VFe=/me3π2ne1/3 is the electron Fermi speed.

4.2 The NLS-Poisson equation

For investigating the nonlinear properties of dense quantum plasmas, it is also possible to work with a NLS equation. Hence, by introducing the wave function

ψrt=nertexpιSertE11

where Se is defined according to meue=Se and ne=ψ2 , it can be shown that continuity equation and equation for momentum can be cast into a NLS equation [9, 25]

ιψt+22me2ψ+eφψmeVFe22n02ψψ4/D=0E12

where the electrostatic field φ arising from the charge distribution of N electrons is determined from Poisson’s equation

2φ=4πeψ2ZiniE13

We note that the third and fourth terms on the left-hand side of Eq. (12) represent the nonlinearities associated with the nonlinear coupling between the electrostatic potential and the electron wave function and the nonlinear quantum statistical pressure, respectively.

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5. Numerical mode analysis method for investigation of two stream instabilities

Let us study the basic fluid equation for quantum plasmas to investigate the Two Stream instabilities using Normal Mode Analysis Method (NMA) which is one of the basic and simplest way to understand the instabilities in plasmas. For the sake of understanding and simplification let us rewrite the Fluid equations again, which includes continuity equations and momentum equations for a plasma model which is unmagnetized and possess non degenerate ions and moves with non-relativistic speed.

5.1 Basic equations

In an unmagnetized, non-relativistic collision-less dense plasma, the QHD equation for a degenerate electron under the effect of an electrostatics potential due to non-degenerate ions [30, 31] that move at a non-relativistic speed is self-possessed of a continuity equation and a momentum equation for a degenerate electron. This is the case because non-degenerate ions move at a non-relativistic electrons

net+·neue=0E14
meneuet+ue·ueeneφ+PeneFB=0E15

Where

FB=FBxi+FBzk=22me2nene is the force arising due to Bohm potential, which is self – consistent potential depends upon the amplitude of wave function of matter wave associated with degenerate electrons.

Along with Poisson equation

ε02φeε0neZini=0E16

In unmagnetized quantum plasma, the dynamics of non-degenerate ions, is described by the QHD equation in non-relativistic region, which includes continuity equation and momentum equation for non-degenerate ions

nit+·niui=0E17
1+τmtt+u.u+Ziemiφ+γikBTimininiηρi2uiξ+η3ρi.ui=0E18

Where Zi is atomic number of ions, φ is electrostatics potential due to space charge distribution of electron-ion system., ne,ni are number density of electrons and ions me,mi are Mass of electrons and ions, ue, ui are velocity of electrons and ions, ρi is mass density of ion, γi is Adiabetic index of ion, τm relaxation time of ion η and ξ = 0.1 and 2.7 = Bulk ion visco-elastic coefficient for ions while the rest of physical quantities have their usual meaning.

Here momentum equation includes the quantum statistical pressure term for degenerate electron [32] which behaves like a Fermi gas at zero-electron temperature, which depends upon Fermi speed of degenerate Fermi electron gas and degree of space-dimension of electron [33, 34].

At zero-electron temperature, quantum statistical pressure is

Pe=meVFe2no3neno2f+1E19

Where

VFe=3π23ne13me = Fermi speed of degenerate electron

f = degree of space-dimension of degenerate electron.

no = number density of electron in equilibrium state.

5.2 Mathematical analysis

The continuity and momentum equations for electrons and ions, as well as Poisson’s equation, are solved using Normal Mode Analysis and linearization, where the physical quantities (density, velocity, and electrostatic potential) ni ,ne, uix, uiy, uiz, uex, uiy, uiz and φ are expressed as P=P0+P1 where P0 and P1 represent the unperturbed and perturbed part respectively. Due to their tiny size, higher order perturbed terms, particularly those of the second order, are disregarded during linearization. After calculating the perturbed velocities for ions and electrons, ui1 and ue1, from momentum equations, these values are substituted into the expression for perturbed densities of ions and electrons obtained from continuity equations under the assumption that the unperturbed densities of ions and electrons are constant with respect to the electron oscillation period, such that-

ni0t=ne0t=0E20

Also unperturbed components of velocities of ions and electrons are considered constant in space-time, so that

uix0,uiy0,uiz0x,z=uex0,uey0,uez0x,z=0E21
uix0,uiy0,uiz0t=uex0,uey0,uez0t=0E22

After applying all this conditions, the density of electrons and ions are evaluated in term of perturbed potential φ1 and Using these values of np1 and ne1 in Poisson’s Eq. (18), we get the following equation in φ1

φ1=φNφD=φNR+iφNIφDR+iφDIE23

Where

φN=φNR+iφNIE24

and

φD=φDR+iφDIE25

Real and imaginary parts of numerator and denominator are written as:

φNR=ω8GNR1+ω7GNR2+ω6GNR3+ω5GNR4+ω4GNR5+ω3GNR6+ω2GNR7+ω1GNR8+ω0GNR9E26
φNI=ω8GNI1+ω7GNI2+ω6GNI3+ω5GNI4+ω4GNI5+ω3GNI6+ω2GNI7+ω1GNI8+ω0GNI9E27
φDR=ω10GDR1+ω9GDR2+ω8FGDR3+ω7GDR4+ω6GDR4+ω5GDR5+ω4GDR6+ω3GDR7+ω2GDR8+ω1GDR9+ω0GDR10E28
φDI=ω10GDI1+ω9GDI2+ω8GDI3+ω7GDI4+ω6GDI3+ω5GDI4+ω4GDI5+ω3GDI6+ω2GDI7+ω1GDI8+ω0GDI9E29

Here, G’s are coefficients of different powers of ω, which are functions of unperturbed quantities.

Eq. (29) relates the perturbed quantity ϕ1 with the unperturbed quantities. Since the first-order quantity cannot be explicitly expressed in terms of zeroth-order quantities [35], we make the RHS of this equation indeterminate by putting numerator and denominator to be individually zero. Thus, we get two equations of order seven for frequency of oscillations. These equations are solved numerically for the values of growth rate (imaginary part of ω ) by giving typical values of ne0, np0, ux0, uy0, uz0, vx0, vy0, vz0, and Te. The real roots of these equations give rise to the propagating waves, which are not of our concern here. The positive imaginary part of the complex root gives the instability, whereas its negative part gives the damped wave. It means the oscillations are unstable when Im(ω) < 0.

Here Figure 1, presents the variation of normalized growth rate of the instabilities occurring into the plasma. From above mentioned polynomial equation in terms of ω, several equations will have complex conjugate roots and same may not have. The growth rate can be analyzed with variation in other typical parameters like ion density, angle of propagation in case of magnetized plasmas, with ion temperature in case of warm plasmas and also with respect to variation in magnetic field in magnetized plasmas.

Figure 1.

Variation of growth rate Γ with Propagation Vector (k in m−1) When θ = 45°, φ0 = 0.05, ne0 = 5 × 1017 m−3, me = 9.1 ×1031kg,mi = 1.67 × 1027 kg, Uix0 = Uiy0 = Uiz0 = 0.25Cs, Uex0 = Uey0=Uez0=5 Cs, Te=0.25eV,Ti=0andZi = 1.

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6. Future perspectives

In the past many derived the dielectric constant for the high-frequency (in comparison with the ion plasma frequency) ES waves [36, 37] and the refractive index for EM waves [38] by using a quantum kinetic theory based on the Wigner and Poisson-Maxwell equations in an unmagnetized quantum plasmas. But no one has found the same in magnetized plasma. In 2D electrons, at very high magnetic field, electron density is quantized which is associated with quantized Hall resistance. After solving this problem we will be able to understand the features of quantum oscillations of electrons and possible formation of bound states of electrons in the presence an external magnetic field.

In the past researchers have given dielectric constant without quantum statistical pressure to investigate the screening and wake potentials around a test charge in an electron ion quantum plasma. The wake potential behind a test charge arises due to collective interactions between a test charge and the ion oscillation. The screening potential can be used to study the doubly excited resonance states of He and H atoms embedded in a quantum plasma and lattice waves in 2D hexagonal quantum plasma crystals. In this problem we will deduce potentials around a moving test charge in a quantum plasma with inclusion of statistical pressure term.

References

  1. 1. Voisin C, Christoflos D, Del Fatti N, Vallée F, Prével B, Cottancin E, et al. Size-dependent electron-electron interactions in metal nanoparticles. Physical Review Letters. 2000;85(10):2200-2203
  2. 2. Bigot JY, Halté V, Merle JC, Daunois A. Electron dynamics in metallic nanoparticles. Chemical Physics. 2000;251(1):181-203
  3. 3. Manfredi G, Hervieux PA, Tanjia F. Quantum hydrodynamics for nanoplasmonics. In: Plasmonics: Design, Materials, Fabrication, Characterization, and Applications XVI. Bellingham: International Society for Optics and Photonics; 2018. p. 107220B
  4. 4. Maniyara RA, Rodrigo D, Yu R, Canet-Ferrer J, Ghosh DS, Yongsunthon R, et al. Tunable plasmons in ultrathin metal flms. Nature Photonics. 2019;13(5):328-333
  5. 5. Stockman MI. Nanoplasmonics: The physics behind the applications. Physics Today. 2011;64(2):39-44
  6. 6. Moreau A, Ciracì C, Mock JJ, Hill RT, Wang Q, Wiley BJ, et al. Controlledrefectance surfaces with flm-coupled colloidal nanoantennas. Nature. 2012;492(7427):86-89
  7. 7. Hainfeld JF, Slatkin DN, Smilowitz HM. The use of gold nanoparticles to enhance radiotherapy in mice. Physics Medical Biology. 2004;49(4904):309-315
  8. 8. Tatsuro E, Kagan K, Naoki N, Ha Minh H, Do-Kyun K, Yuji Y, et al. Multiple LabelFree detection of antigen antibody reaction using localized surface plasmon resonance based core shell structured nanoparticle layer nanochip. Analytical Chemistry. 2006;78:6465-6475
  9. 9. Manfredi G, Haas F. Self-consistent fuid model for a quantum electron gas. Physical Review B. 2001;64(7):075316
  10. 10. Khan SA, Bonitz M. Quantum Hydrodynamics: Complex Plasmas. New York: Springer; 2014. pp. 103-152
  11. 11. Müller T, Parz W, Strasser G, Unterrainer K. Infuence of carrier-carrier interaction on time-dependent intersubband absorption in a semiconductor quantum well. Physical Review B. 2004;70(15):155324
  12. 12. Domps A, Reinhard PG, Suraud E. Theoretical estimation of the importance of two-electron collisions for relaxation in metal clusters. Physical Review Letters. 1998;81(25):5524-5527
  13. 13. Banerjee A, Harbola MK. Hydrodynamic approach to time-dependent density functional theory; response properties of metal clusters. The Journal of Chemical Physics. 2000;113:5614
  14. 14. Brodin G, Marklund M. Spin magnetohydrodynamics. New Journal of Physics. 2007;9(8):277
  15. 15. Hirohata A, Yamada K, Nakatani Y, Prejbeanu IL, Diény B, Pirro P, et al. Review on spintronics: principles and device applications. Journal of Magnetism and Magnetic Materials. 2020;509:166711
  16. 16. Wu Y, Ji L, Geng X, Yu Q, Wang N, Feng B, et al. Polarized electron-beam acceleration driven by vortex laser pulse. New Journal of Physics. 2019;11:073052
  17. 17. Kremp D, Bornath T, Hilse P, Haberland H, Schlanges M, Bonitz M. Quantum kinetic theory of laser plasmas. Contributions to Plasma Physics. 2001;41(2–3):259-262
  18. 18. Dornheim T, Groth S, Bonitz M. The uniform electron gas at warm dense matter conditions. Physics Reports. 2018;744:1-86
  19. 19. Ciracì C, Pendry JB, Smith DR. Hydrodynamic model for plasmonics: a macroscopic approach to a microscopic problem. Chemical Physics. 2013;14(6):1109-1116
  20. 20. Ciracì C, Della Sala F. Quantum hydrodynamic theory for plasmonics: impact of the electron density tail. Physical Review B. 2016;93:205405
  21. 21. Baghramyan HM, Della Sala F, Ciracì C. Laplacian-level quantum hydrodynamic theory for plasmonics. Physics Review. 2021;X 11:011049
  22. 22. Toscano G, Straubel J, Kwiatkowski A, Rockstuhl C, Evers F, Xu H, et al. Resonance shifts and spill-out efects in self-consistent hydrodynamic nanoplasmonics. Nature Communications. 2015;6(1):1-11
  23. 23. Uzdensky DA, Rightley S. Plasma physics of extreme astrophysical environments. Reports on Progress in Physics. 2014;77(3):036902
  24. 24. Bransden BH, Joachain CJ. Quantum Mechanics. 2nd ed. Essex: Pearcon Education Ltd.; 2000
  25. 25. Manfredi G. How to model quantum plasmas. arXiv. 2005. DOI: 10.48550/arXiv.quant-ph/0505004
  26. 26. Son S, Fisch NJ. Current-drive efficiency in a degenerate plasma. Physical Review Letters. 2005;95:225002
  27. 27. Wilhelm R. The Garching Belt Pinch experiments. Nuclear Fusion. 1985;25:1055
  28. 28. Carl L. Gardner and Christian Ringhofer, Smooth quantum potential for the hydrodynamic model. Physical Review E. 1996;53:157
  29. 29. Crouseilles N, Hervieux P-A, Manfredi G. Quantum hydrodynamic model for the nonlinear electron dynamics in thin metal films. Physical Review B. 2008;78:15541
  30. 30. Shukla P, Eliasson B. Collo-quium: Nonlinear collective interactions in quantum plasmas with degenerate electron fluids. Reviews of Modern Physics. 2011;83(3):885
  31. 31. Shukla PK, Eliasson B. Nonlinear aspects of quantum plasma physics. Physics Uspekhi. 2010;53(1):51-76
  32. 32. Shukla PK, Eliasson B. Novel attractive force between ions in quantum plasmas. Physical Review Letters. 2012;108(16):165007
  33. 33. Rehman S. Linear and nonlinear quantum ion acoustic waves in a plasma with positive, negative ions and Fermi electron gas. Physics of Plasmas. 2010;17(6):062303
  34. 34. Singh SS, Misra KP. Two stream instabilities in unmagnetized nonrelativistic quantum plasma. Plasma Research Express. 2022;4(2):025006
  35. 35. Moldabekov ZA et al. Dynamical structure factor of strongly coupled ions in a dense quantum plasma. Physical Review E. 2019;99(5):053203
  36. 36. Klimontovich YL, Silin V. To the theory of excitation spectra of macroscopic systems. Doklady Akademii Nauk SSSR. 1952;82:361
  37. 37. Bohm D, Pines DJPR. A collective description of electron interactions: III. Coulomb interactions in a degenerate electron gas. 1953;92(3):609
  38. 38. Burt P, Wahlquist HDJPR. Spin and exchange corrections to plasma dispersion relations. 1962;125(6):1785

Written By

Jyoti

Submitted: 09 October 2022 Reviewed: 23 November 2022 Published: 20 December 2022