1. Introduction
The growing interest in semiconductors has recently led to various studies aimed at improving their material properties. In addition to conventional Si and Ge semiconductors, active research is being conducted on III–V and II–VI compound semiconductors due to their superior optical and electronic properties. Among them, GaAs and CdS have attracted increasing attention because of their unique piezoelectric properties and strong optical responses under external fields. GaAs compound semiconductors exhibit a high optical conversion efficiency of over 40%, more than twice that of Si semiconductors. Additionally, CdS is widely known as a representative material for optical sensors [
1,
2].
A quantum well is a structure where electron movement is confined to a single dimension, leading to quantum confinement. This confinement alters the energy states, changing them from a continuous range to discrete levels due to the limiting potential. These structures provide a distinctive opportunity to adjust both the quantum well energy levels and the carrier density by carefully managing the potential at the electrodes placed along the outer boundary [
3]. The study of electron dynamics coupled with piezoelectric phonons in semiconductors has drawn significant attention from condensed matter physicists. Wurtzite (ZnO, CdS, CdSe, AgI) and sphalerite (ZnS, ZnSe, GaAs) crystals are recognized for their piezoelectric activity. Their superior acoustoelectric and optically conductive properties make them suitable for applications such as ultrasound amplifiers, luminescent materials, and photometric devices [
4]. Various approaches exist to derive the scattering factors for the electron-background particle correlation response function [
5,
6,
7,
8,
9,
10,
11,
12,
13,
14,
15,
16,
17,
18], including the use of the projected Liouville equation method.
This study aims to understand the electron behavior phenomenon by analyzing the energy absorption rate according to the magnetic field dependence and temperature dependence of GaAs and CdS through theoretical interpretations of the electron-piezoelectric phonon correlation system [
19,
20]. Understanding low-dimensional electronic systems is essential, with cyclotron transitions within quasi-two-dimensional (2D) quantum wells being a key focus of recent theoretical research [
21].
Quantum transport theories, developed using the projected Liouville equation method, provide an effective framework for examining scattering mechanisms in solids. This study proposes a new quantum transport theory in linear–nonlinear form, employing the projected Liouville equation method alongside the equilibrium average projection scheme [
12,
22]. The equilibrium average projection scheme simplifies the process of deriving generalized susceptibility and scattering mechanisms through a unified theoretical extension.
Among the diverse methods for analyzing optical conductivity related to piezoelectric properties, photon quantum transition absorption analysis is conducted in this study. The optical quantum transition line properties (OQTLP), including line shapes (LS) and line width (LW), effectively correspond to the scattering mechanism influencing carrier behavior.
In this paper, we integrate the propagator with the conventional series expansion representation into quantum transport theory. We conduct more rigorous commutator calculations than those in previous studies [
22,
23]. The primary distinction between this work and previous works lies in the markedly different distribution function components of the LW. Using theoretical analysis, we explore the magnetic dependence of absorbed energy (
P(
B)) across temperature variations in GaAs and CdS, as well as the magnetic dependence of the LW under specific external fields. To investigate the OQTLP, we compare the temperature dependence of the LW in intra-Landau- and inter-Landau-level transitions. Similarly, we compare the magnetic dependence of the LW in both intra-Landau- and inter-Landau-level transitions. In addition, we compare the magnetic dependence of the LS of intra-Landau-level transitions with that of the LS of inter-Landau-level transitions.
The novelty of this study lies in three key aspects: (1) The application of a combined theoretical framework (Projected Liouville Equation Method and Equilibrium Average Projection Scheme) to analyze OQTLP with a rigorous quantum transport approach. (2) A comparative study of intra- and inter-Landau level transitions, which has not been systematically explored in previous works. (3) A wide-range analysis of temperature and magnetic field effects, moving beyond the scope of traditional fixed-condition analyses. By integrating these elements, this study provides a deeper understanding of the quantum transition mechanisms governing optical absorption and scattering processes in GaAs and CdS, thereby contributing to the broader field of semiconductor physics.
2. Linear Response Theory in Existing Systems
A system is considered to be influenced by an oscillating electric field given by
, where
denotes the angular frequency and
is a unit vector aligned with the direction of the field (
etc.). The Hamiltonian
and the associated Liouville operator
are defined in Equations (1) and (2).
where
includes the Hamiltonian describing primary particles (e.g., electrons), background particles (e.g., impurities or phonons), and the interactions between them.
and
are not time-dependent components. The time-dependent Hamiltonian is formulated as
. The operator
is linked to the response operator
aligned with the direction
and indicates that
applies to any arbitrary operator
. The expectation value of the system’s dynamic variable
can be expressed as
. The projection operator is introduced to derive
, leading to the practical response equation
. The
is the time-independent operator associated with
. Then,
aligned with the projection operator,
, where
represents the normalization factor (
). The initial condition of the Quantum Statistical Mechanical system is assumed to be the equilibrium density, as expressed in Equation (3).
This equilibrium density is determined by the system’s equilibrium energy. Additionally,
represents the time-evolution density induced by the external field. The system’s density matrix is then expressed as
. By a similar procedure to the equilibrium average projection scheme [
23], the kinetic equations for
can be derived within the imposed external field conditions. This time-dependent function can be analyzed in the energy space (
-space) by applying the Fourier–Laplace transform to
, as follows:
The linear response in
-space is then obtained as follows:
where
is the normalization factor expressed as
) and
represents the scattering factor described as follows:
where
and
is the propagator, as given in Equation (7).
Equation (5) can be employed to analyze various systems in condensed matter physics. The response formula
applies to the optical quantum transition system (OQTS). The LSs and LWs of optical quantum transitions can be obtained by considering a many-body system affected by a circularly polarized external field
. The system’s total Hamiltonian is obtained as
by using the Coulomb gauge
. The operator
w for many-electron current consists of two components
and
with
representing the two constituent parts of the single-electron current operator
. Considering the electron–phonon interaction system, the Hamiltonian is formulated as follows:
where
,
,
,
,
, and
correspond to the electrons Hamiltonian, the phonon Hamiltonian, the electron–phonon interaction Hamiltonian, the annihilation operator, and the wave vector of phonon (or impurity), respectively.
represents the coupling matrix element of electron–phonon interaction and is expressed as
, where
,
,
are the coupling coefficient of materials, the eigenstate of a single electron, and the position vector of the electron, respectively.
Applying a time-invariant magnetic field
to a many electron system, the single-electron energy states are quantized into Landau levels. A system in which electrons are confined to infinite square well potentials in the z-direction, between
and
, is also considered. A single Hamiltonian
is defined by using Landau gauge
as follows:
We obtain the eigenstate in Q3D system as Equation (10).
where
represents the plane wave (
). The explicit function
and the confined wave function
are given as follows:
Here,
is the Hermite polynomials function,
is the radius of cyclotron motion.
Here, the quantization conditions
and
, corresponding to the z-direction components of the electron wave vectors
and
. These are derived by solving the formulas
and
, under the conditions
and
, where
is the constant potential for
. The normalization factors are given by
,
. These values vary in different systems. The corresponding eigenvalue is expressed as follows:
where
,
,
represent the angular frequency of cyclotron motion (
), the effective mass of electron, and the size of materials in the z-direction, respectively. The induced current operator led by the circularly polarized field and the time-independent operator linked to the expectation of dynamic variable are, respectively, expressed as
and
, where
is given by
.
and
represent the right and left circularly polarization current, RCPC and LCPC, respectively.
The parameter
, describing the electron–phonon coupling in piezoelectric materials within the isotropic approach, is defined in Equation (14).
where
and
are the electromechanical constant and the dielectric constant, respectively. The approximation of long wavelength (
) provides accurate results for these materials. Using Kubo’s approximation, phonon energy is given by
, with
representing the speed of sound in the material.
3. Optical Quantum Transition Line Properties
It is assumed that the electric field
is circularly polarized and directed along with the
z-axis. The delivered absorption power is given by
. It includes the real part of the optical conductivity tensor
. The absorption power and the scattering factor function represent the LS and LW of optical quantum transitions. To implement the linear response model to the OQTS, we replace
to
,
to
, and
in a circulating external field with a frequency of
. From the response model, the ohmic current is defined in Equation (15).
The series expansion form of the operator
, and the projection operator can be used for a simplified expression of the scattering factor. This derivation assumes a weak interaction approximation in pair-interacting systems. The scattering factor is then given by Equation (16).
where
is the diagonal propagator. From refs [
22,
23],
is obtained. The expression
represents the ensemble average of electron states. The interacting Hamiltonian commutator is calculated by performing a thorough calculation using a moderately weak coupling interaction, as below:
Equation (17) is applied to the electron–phonon interacting system to obtain its composing matrix elements.
is expressed as
. It consists of the real and imaginary parts, which represent the half-width and the line shift in the response type formula. The imaginary part
is negligible because it is very small in real systems. Using continuous approximation, the absorption power and the scattering factor function can be obtained as follows:
The integrand factor is expressed as Equation (20).
Each term of electron–phonon interacting systems is derived as follows:
where
is the interacting matrix, expressed as follows:
where
(
) is the vertical components of phonon wave vectors. It is derived as follows:
where
,
,
,
, and
are provided.
The parameter
with
(
) is then obtained as follows:
From the Fermi–Dirac distribution functions, the eigenvalues are given by Equation (25).
where
,
, and
represent the conduction band minimum energy, the Fermi energy at
T, and the band gap energy at
T, respectively. Their relations are expressed as
, where
and
are characteristic constants of the material,
and
denote the effective mass of an electron and the density of state effective mass of a hole, respectively. The phonon distribution parts are given by
and
, where
is the Bose–Einstein distribution function. The phonon energy is expressed as Equation (26).
In the case of
and
, the K-matrix is given by Equation (27).
where
is the Legendre function, where
.
The result of Equation (18) from Equations (19)–(23) are more rigorous calculations than most previous studies [
11,
12,
13,
14]. From the first to the fourth term of Equation (20), there are contained the distribution functions of significantly different forms compared to other theories [
22,
23]. The distribution part of this study explains the quantum transition process well. In addition, the equilibrium average projection scheme applied in this study supports to analysis of the quantum transition of electron-piezoelectric phonon-coupled materials. Assuming weak interactions, effective transitions occur through transitions within the same level (
) and between adjacent levels (
,
). Within the intra- and inter-Landau-and inter-Landau-level transitions, LW
is given as follows:
Through double wavelength vector integration, these results become available for numerical analysis.
4. Case Study
This case study analyzes the absorption power and scattering factor function of materials in which piezoelectric potential scattering is the primary mechanism, specifically GaAs and CdS. We have summarized the material constants required for numerical analysis in
Table 1.
As the speed of sound
, the average value,
is used. Here, it is the longitudinal sound velocity
= 5614
and the transverse sound velocity
= 2987
of the GaAs. And it is the longitudinal sound velocity
= 4280
and the transverse sound velocity
= 1810
of the CdS. The value of
is 8.85419
. By substituting these constants into the equations mentioned above, it is available to analyze the LSs and LWs of the optical quantum transitions of GaAs and CdS [
16].
Figure 1 shows the effect of the magnetic field on the LS
of GaAs under a specific external field with a wavelength of
λ = 220 μm and temperatures of
T = 10, 30, 50, 90, and 120 K. At
T = 10, the LS exhibits a sharp and narrow peak near
B ≈ 8.76 T, indicating strong resonance behavior with minimal thermal broadening. As
T increases, the peak broadens significantly, reflecting the growing thermal interaction effects in the system. The gain factors applied to the curves for
T = 30, 50, 90, and 120 K highlight the dramatic rise in absorption power with increasing
T. This behavior suggests that the
in GaAs is strongly temperature-dependent, with higher temperatures enhancing scattering mechanisms or transition probabilities that contribute to the LS. The broadening of the peak at elevated temperatures also indicates a reduction in coherence due to increased phonon interactions.
Figure 2 illustrates the temperature dependence of the LW
for GaAs under external fields with
λ = 172, 190, 220, 394, and 513 μm. At all wavelengths, the LW increases as
T rises, demonstrating a strong thermal dependence. Shorter wavelengths (
λ = 172, 190, 220 μm) exhibit steeper slopes, indicating a more pronounced increase in
with
T. In contrast, longer wavelengths (
λ = 394, 513 μm) show a more gradual rise in LW.
As the total LW is composed of the summation of intra-Landau-level and inter-Landau-level transitions, each component of the LW at λ = 220 μm is analyzed and illustrated in
Figure 3. The total LW
increases with
T, indicating strong thermal broadening effects. The inter-Landau-level component
increases significantly with
T, which likely dominates the overall thermal broadening. The intra-Landau-level component
remains nearly constant across the temperature range, suggesting minimal thermal dependence. This behavior highlights the role of inter-Landau-level transitions in contributing to the overall LW, especially at elevated
T. In contrast, the intra-Landau-level component is relatively unaffected by
T. These results indicate that the intra-level transition process plays a more significant role in the scattering effect compared to the inter-level transition process.
Figure 4 further investigates the contributions of intra- and inter-Landau-level transitions to the LW and their impact on the LS in GaAs. Specifically, it compares
with its components:
and
. The total absorption power curve
closely matches the behavior of the intra-level contribution
with
, highlighting the dominant role of intra-level transitions in determining the overall broadening. The inter-level contribution
with
is less significant, as its effect on
is noticeably weaker. This comparison underscores the dominant influence of intra-Landau-level transitions on the broadening of absorption power in GaAs at T = 30 and λ = 220 μm. The agreement between the LS components in
Figure 3 and the absorption power broadening in
Figure 4 demonstrates the strong correlation between line width contributions and the overall absorption process.
Figure 5 shows the LS
of CdS as a function of the magnetic field at λ = 220 μm and temperatures of
T = 10, 30, 50, 90, and 120 K. At
T = 10 K, the absorption peak is sharp and narrow near
B ≈ 8.76 T, indicating minimal thermal broadening. As
T rises, the peaks broaden significantly and
increases, with gain factors. This broadening reflects significant thermal interactions and increased scattering at higher
T. The consistent peak position across all temperatures highlights the magnetic field’s dominant role in resonance. The broader peaks in CdS, compared to GaAs, suggest reduced coherence in its quantum transitions. These results emphasize the temperature dependence of scattering and the influence of phonon interactions in CdS.
Figure 6 illustrates the temperature dependence of the LW
of CdS for various wavelengths of
λ = 172, 190, 220, 394, 513 μm. At all
λ, LW increases with rising
T, demonstrating a strong thermal influence on the scattering mechanisms in CdS. The rate of increase becomes more pronounced at higher
T, particularly for shorter wavelengths (
λ = 172, 190, 220 μm). At any given
T, the LW decreases with increasing
λ, indicating weaker scattering effects for longer wavelengths (
λ = 394, 513 μm). This trend suggests that shorter
λ are more sensitive to thermal interactions, resulting in broader LW.
Figure 7 presents the effect of temperature on LW of CdS at a fixed
λ = 172 μm, decomposed into its total, intra-Landau-level, and inter-Landau-level contributions. The total LW
increases steadily with
T, indicating the cumulative effect of intra- and inter-level transitions as thermal interactions intensify. The inter-Landau-level component
increases in the quantum limit at low temperatures, below 70 K. The intra-Landau-level component
remains nearly constant as
T increases in the high-temperature region. While the intra-level transitions dominate at lower temperatures due to their minimal thermal interaction, the inter-level transitions play a larger role at elevated temperatures, driving the overall broadening of the line width. This behavior highlights the dynamic nature of scattering mechanisms in CdS under varying thermal conditions.
Figure 8 compares the LS
of CdS at
T = 30 K and λ = 220 μm, showing contributions from the total LW
, intra-Landau-level LW
, and inter-Landau-level LW
. The
shows the overall profile dominated by both intra- and inter-level contributions. The total absorption peak occurs near
B ≈ 8.76 T, with a broader distribution compared to individual contributions. The
contributes to a sharper and narrower peak, highlighting their dominance in determining the core structure of the absorption profile. The narrower profile indicates minimal thermal broadening for the intra-level transitions. The
shows a much broader peak, reflecting the higher thermal sensitivity of inter-level transitions.
The effect of temperature on LS and LW has shown similar trends in both GaAs and CdS. Building on this observation,
Figure 9 presents a comparative analysis of the
T dependence of LW for GaAs and CdS at various external fields (λ = 172, 190, 220, 394, and 513 μm). For both materials, the LW increases with rising
T, demonstrating similar trends. However, at each λ, the LW of CdS is consistently higher than that of GaAs across the entire temperature range, highlighting the stronger thermal broadening effects in CdS. This suggests that CdS experiences greater phonon interaction at elevated
T compared to GaAs.
Figure 10 illustrates the effect of temperature on LW for GaAs and CdS at a fixed wavelength of
λ = 220 μm, with total, intra-, and inter-Landau-level transitions. The total LW of CdS is consistently higher than that of GaAs across the temperature range, reflecting stronger phonon interactions in CdS. Additionally, the intra-level contributions remain nearly temperature-independent for both materials, while the inter-level contributions exhibit a noticeable increase with
T. This demonstrates that the overall temperature dependence of LW is primarily driven by the inter-level transitions for both GaAs and CdS.
Figure 11 compares the LS of GaAs and CdS, the
and
with
λ = 220 μm at
T = 30 K. For GaAs, the absorption power exhibits a sharp peak near
B ≈ 8.76 T, the total LW showing a broader profile compared to the intra-level component, indicating a significant contribution from inter-level transitions. Similarly, for CdS, the LS shows a peak at a similar magnetic field, but the total LW is more dominant relative to the intra-level contribution, reflecting stronger phonon interactions in CdS. However, the
has a much larger value than the
. Specifically, the value of the
is nearly
times than the value of
. This fact confirms that GaAs exhibits much larger mobility compared to other materials. From this analysis, it is evident that thermal quantum transition properties are similar for CdS, a wurtzite-type material, and GaAs, a sphalerite structure.
In the case of the QTR theory projected from EAPS used in this study, it is advantageous in terms of simplifying the calculation because LWs and LSs can be obtained directly through EAPS. If only the EAPS theory is used, a complex process must be followed to calculate the absorbed power to obtain LWs and LSs. Therefore, the QTR theory projected from EAPS is a useful method for explaining the resonance phenomenon based on scattering effects and quantum transitions from a microscopic perspective, as demonstrated by the variations in values with changes in temperature and magnetic field.
This work provides a theoretical foundation for understanding and optimizing low-dimensional semiconductor systems, with implications for advanced optoelectronic and quantum devices.