Open Access Article
This Open Access Article is licensed under a
Creative Commons Attribution 3.0 Unported Licence

Resonant defect states of the SnO2:Ta transparent conductive oxide revealed by excitation wavelength-dependent Raman spectroscopy and hybrid functional DFT calculations

Matthias Krause *a, Carlos Romero-Muñiz b, Oleksandr Selyshchev c, Dietrich R. T. Zahn c and Ramon Escobar-Galindo d
aInstitute of Ion Beam Physics and Materials Research, Helmholtz-Zentrum Dresden-Rossendorf, Bautzner Landstraße 400, 01328 Dresden, Germany. E-mail: matthias.krause@hzdr.de
bDepartamento de Física de la Materia Condensada, Universidad de Sevilla, PO Box 1065, 41080 Sevilla, Spain
cInstitute of Physics, Technische Universität Chemnitz, Reichenhainer Straße 70, 09126 Chemnitz, Germany
dDepartamento de Fisica Aplicada I, Escuela Politécnica Superior, Universidad de Sevilla, 41011 Seville, Spain

Received 6th December 2024 , Accepted 31st March 2025

First published on 1st April 2025


Abstract

Excitation wavelength-dependent Raman spectroscopy, optical spectroscopy, and density functional theory (DFT) calculations with hybrid functionals were used to analyse the electronic structure of defects in SnO2:Ta (1.25 at% Ta) transparent conductive oxide thin films. Based on the Raman excitation profiles of the characteristic D1 and D2 defect modes of two tin vacancy VSn-type defects and one oxygen interstitial Oi-type defect, we derived the corresponding defect-induced electronic transitions of the involved defect states. DFT calculations revealed additional density-of-states for the three point defects at the top of the valence band (VB) in comparison to defect-free SnO2 and SnO2:Ta. The largest distortion of the VB electronic structure was caused by the VSn-type defect with the farthest possible distance from the Ta dopant in the studied 96-atom supercell, and the smallest distortion was caused by the Oi-type defect. Accordingly, the amount of VB splitting showed a reverse order to the electronic transition energies. From the projected defect-density-of-states, we found a delocalized nature of the VSn-type defects and a localized nature of the Oi-type defect, accounting for the different degrees of distortion of the SnO2:Ta electronic structure. Based on these complementary experimental and theoretical results, the electronic structure of point defects in the SnO2:Ta transparent conductive oxide was elucidated in detail. Thus, the proposed approach has great potential to resolve the ongoing controversy about point defects in SnO2.


1 Introduction

Tin dioxide (SnO2), indium oxide (In2O3) and zinc oxide (ZnO) belong to the family of classical transparent conductive oxides (TCOs).1–6 In recent years, the research on SnO2 as a TCO has focused on Ta-doped SnO2 (TTO) because of its highly competitive resistivity and charge carrier mobility7,8 and high chemical and thermal stabilities in high vacuum and in air.9–11 The lowest resistivity of 1.1 × 10−4 Ω cm and the highest mobility of 130 cm2 V−1 s−1 for SnO2:Ta were obtained for TTO films prepared via pulsed laser deposition (PLD).7,8 These values are only slightly worse than those of the best In2O3-based TCO films, with the resistivity values ranging from 6.7 to 8.6 × 10−5 Ω cm and a mobility value of 250 cm2 V−1 s−1 for optimized Mo- and Sn-dopant concentrations.12,13 The best electrical properties for magnetron sputtered SnO2:Ta thin films were obtained by Weidner et al. with a resistivity of 5.4 × 10−4 Ω cm and a mobility of 25.7 cm2 V−1 s−1.14 Using spray pyrolysis deposition, Ramarajan et al. reported a resistivity of 4.36 × 10−4 Ω cm.15 A high mobility for TTO films of 23 cm2 V−1 s−1 was also achieved via sol–gel spin coating.16 The electrical properties of TTO thin films surpass those of SnO2:F (FTO) and SnO2:Sb (ATO), the lowest resistivities of which were 5 × 10−4 Ω cm and of the order of 10−3 Ω cm, respectively.14,17–21

Point defects, including substitutional dopants, are crucial for the electrical, optical and chemical properties of TCOs. For a long time, oxygen vacancies (VO) were considered to be responsible for the low intrinsic resistivity of undoped and mostly slightly oxygen-deficit SnO2.5,22,23 More recently, tin interstitials, Sni,24 [VO + Sni] complexes,24 or substitutional hydrogen25 were proposed as the main n-type donors in non-intentionally doped SnO2 based on local-density approximation (LDA) and generalized gradient approximation (GGA) DFT calculations. Additionally, using the GGA-DFT level of theory, Godinho et al. proposed a defect cluster comprised of image file: d4ta08693g-t1.tif and image file: d4ta08693g-t2.tif as the most stable defect in SnO2−x, i.e., a complex comprised of a neutral oxygen vacancy and an interstitial Sn2+ ion next to it.26 In the case of SnO2 with excess oxygen, their calculations predicted the formation of an interstitial peroxide molecule ion (O22−) as the most stable point defect. Most recent hybrid functional DFT calculations again indicated that VO-type defects are the most stable defects in undoped Sn-rich SnO2−x.27 Under O-rich conditions, the Oi-type defect was found to be the most stable point defect for a broad range of defect charge states, without specifying it as being either single-atomic or molecular nature.27

In the case of Ta-doped SnO2, DFT calculations at different levels of theory (Table 1) agree that substitutional Ta, TaSn, is a point defect with a very low formation energy. When different point defects were considered, TaSn was always predicted to be the easiest formed defect, independently of whether the samples are O-rich or O-poor.10,27–29 The superior electrical properties achieved for TTO in comparison to ATO or FTO were attributed to the so-called resonant doping, which is characterized by non-hybridizing Ta 5d donor states situated 1–2 eV above the conduction band minimum, first proposed by Williamson et al. in 2020.16,29,30 Regarding the other point defects of TTO, the theoretical data are less consistent, and also not complete. Williamson et al.29 and our group10 found an increased formation energy for the VO-type defect compared to undoped SnO2, which was not confirmed by Wang et al.27 The Oi-type defect was predicted as the second-stable defect for O-rich compositions by two groups.10,27 Although this point defect was further specified to be comprised of a peroxide ion in ref. 10, this information is missing in ref. 27. The VSn-type defect was predicted to have a very high formation energy under O-poor conditions,27 but to be stabilized by an excess of oxygen27 and the presence of substitutional Ta.10 Filippatos et al. focused on the bandgap and density of states of only two point defects in SnO2:Ta, namely substitutional TaSn- and interstitial Tai-type defects.30

Table 1 Comparison of the levels of theory, supercell sizes, Ta concentrations, and applied stopping criteria in previous DFT calculations on SnO2:Ta. HSE: Heyd–Scuseria–Ernzerhof hybrid functional; PBE: Perdew–Burke–Ernzerhof functional; and GGA: generalized gradient approximation
Reference DFT level Supercell size Ta conc./at% Convergence criteria
eV Å−1 eV
Behtash et al.28 HSE 2 × 2 × 3 1/72 = 1.4 0.01 10−4
Williamson et al.29 PBE0 (hybrid) 2 × 2 × 3 1/72 = 1.4 0.01 n.a.
Krause et al.10 PBE 2 × 2 × 4 1/96 = 1.04 0.005 10−6
Filippatos et al.30 PBE0 (hybrid) 2 × 2 × 2 1/48 = 2.1 0.05 2 × 10−5
Wang et al.27 GGA, HSE06 3 × 3 × 5 1/270 = 0.4 0.01 10−5


The partially controversial and incomplete results described above underline the necessity for the verification of the most relevant point defects in SnO2-based TCOs, ideally combining experimental and theoretical data. In a previous paper, we systematically studied the principal point defects in slightly O-rich SnO2 and SnO2:Ta (exp.: 1.25 at% Ta, calc.: 1.04 at% Ta) samples via a combined Raman spectroscopy and DFT study.10 The characteristic and dominant Raman lines of VSn-type and Oi-type defects out of the SnO2 phonon range, labelled by D1 and D2, respectively, were identified. This study supported the formation of peroxide ions as Oi-type defects for O-rich SnO2 predicted before.26

Due to the dominance of the two defect lines D1 and D2, the Raman spectra of Ta-doped SnO2 differed essentially from that of undoped, rutile-type SnO2 crystals, thin films, nanowires and nanoparticles.31–36 The reason for the dominance of the defect modes in the Raman spectra of TTO in comparison to the SnO2 lattice modes is still not clear. Moreover, the effect of the corresponding defects on the electronic structure of SnO2:Ta is not understood. This means that it is unclear whether the two defect types, VSn and Oi, are favourable or unfavourable for the electrical and optical properties of SnO2:Ta. In a more general context, the unambiguous identification of point defects in TCOs remains a challenging task but can substantially support the optimization of the electric and optical properties of these materials. Therefore, the aim of this work was to show that the combination of excitation wavelength-dependent Raman spectroscopy, optical spectroscopy, and DFT calculations using hybrid functionals can reveal the electronic structure of the transparent conductive oxide SnO2:Ta, including that of the various point defects.

Excitation wavelength-dependent Raman spectra of TTO thin films were measured using eight laser lines in the range of 785 nm (NIR) to 325 nm (UV), or in energy units, 1.58 eV to 3.81 eV. The Raman excitation profiles were obtained by plotting the intensity of the most relevant lattice and defect modes against the laser wavelength. The maxima of these profiles correspond to electronic transition energies. The principal optical band gap of the studied material was determined by optical spectroscopy. Hybrid functional DFT calculations of the electronic structure of 96-atom supercells of SnO2 and SnO2:Ta (1.04 at% Ta) were applied to identify the effects of Ta substitution and VSn- and Oi-type defects on the electronic band structure, with a focus on the density of states close to the valence band maximum (VBM) and the conduction band minimum (CBM). Based on complementary experimental and theoretical results, detailed insight in the electronic structure of the SnO2:Ta transparent conductive oxide could be achieved, including the energetic order and localized/delocalized nature of the different point defects.

2 Experimental and theoretical methodology

2.1 Excitation wavelength-dependent Raman analysis of SnO2:Ta (1.25 at% Ta)

Eight laser lines in the near-infrared (785 nm) to the UV (325 nm) spectral range were used to measure the Raman spectra of a Ta-doped SnO2 (1.25 at% Ta). The studied sample had a thickness of approx. 1.6 μm and was grown by reactive direct current magnetron sputtering on fused silica. The experimental details for the sample fabrication were described and published previously.9,10,37,38 The Ta-concentration of 1.25 at% was chosen given that it yielded the best electrical properties based on the dependence of the specific resistivity, carrier mobility, and the carrier concentration on the Ta concentration studied in detail in ref. 9. The full element composition as determined by Rutherford backscattering spectrometry and elastic recoil detection analysis was 1.25 at% Ta, 31.9 at% Sn, and 66.9 at% O.10 This composition was homogeneous for the entire film thickness. For the micro-Raman measurements at room temperature, four spectrometers (Horiba) located at HZDR and at TU Chemnitz were employed. All were equipped with either thermoelectric (TE) or liquid N2 (LN2) cooled CCD detectors. The other spectrometer parameters are presented in Table 2.
Table 2 Laser lines, spectrometer type, grating, spectral resolution, and detector used for excitation wavelength-dependent Raman measurements of SnO2:Ta (1.25 at% Ta). BIDD: back-illuminated deep-depleted, EM: electron-multiplying
Laser line/nm Spectrometer type Grating 1/mm Resolution/cm−1 CCD type
325 LabRam HR 2400 3.2 BIDD-TE
405 LabRam Evolution 1800 3.0 BIDD-LN2
473 iHR 550 1800 3.0 BIDD-LN2
488 LabRam HR 2400 1.5 BIDD-TE
514.7 LabRam HR 2400 1.3 BIDD-TE
532 LabRam Evolution 1800 1.5 BIDD-LN2
iHR 550 1800 2.0 BIDD-LN2
633 LabRam Evolution 1800 1.0 BIDD-LN2
785 XPlora 1200 2.0 EM-TE


The laser radiation was focused to a spot of approx. 1 μm diameter at the sample surface by 100-fold magnifying long-working-distance objectives. In the UV experiment, a CaF2 near-UV objective with 40-fold magnification was used. Typically, Raman spectra were measured from three different sample positions and averaged for the spectrum fit analysis. To obtain the Raman excitation profiles, for each laser wavelength the individual line intensities (arb. un.) were divided by the overall scattering intensity (arb. un.) in the wavenumber range of 350 to 950 cm−1, resulting in the relative intensity in (%) units.

2.2 Optical characterization of SnO2:Ta (1.25 at% Ta)

For the optical characterization, a TTO sample on fused silica of approx. 0.3 μm thickness was used to reduce the effect of the transmission drop at short wavelengths. The transmittance (T) and specular reflectance (R) of the sample were measured using a SolidSpec 3700 DUV spectrometer (Shimadzu). The experimental parameters were a spectral resolution of 5 nm, a step width of 2 nm, and a scanning speed of approx. 280 nm min−1. The reflectance was measured under an incidence angle of 5° relative to the surface normal. The absorbance (A) of the sample was calculated using the relation for energy conservation, A = 1 − RT. A Tauc-plot type analysis for crystalline samples was used for the estimation of the optical gap of SnO2:Ta (1.25 at% Ta), following the relation αhν ≈ (Egap)r.39,40 Therefore, the expression (αhν)1/r (α: absorption coefficient, r = 0.5 for dipole-allowed optical transitions) was plotted as a function of the photon energy. The linear range of the plot was fitted by a linear function and the optical band gap was estimated from its intercept with the energy axis.

2.3 Hybrid functional DFT calculations

In our previous work,10 we used standard DFT calculations to study the structural and vibrational properties of SnO2 and the influence of several point defects (Table 1 in ref. 10). Our current approach is essentially the same but using a hybrid functional, namely, the HSE06 functional41 (HSE: Heyd–Scuseria–Ernzerhof hybrid functional) as implemented in the VASP package.42 For each defective system, we performed a single-point calculation to obtain the density of states (DOS) of the system with the hybrid functional, using a Monkhorst–Pack grid of 2 × 2 × 2 in the 96-atom cells that we described in our previous work.10

It is well-known that standard DFT (i.e., DFT based on LDA or GGA) can properly predict the experimental values of the lattice constants and atomic positions of most chemical compounds including oxides such as SnO2. However, they fail when describing the electronic properties of insulators, especially their band gaps.43,44 For this purpose, the use of hybrid functionals such as HSE06 is entirely necessary.41 It is worth noting that in 2010, J. B. Varley and coworkers showed that the use of a higher fraction of exact Hartree–Fock exchange contribution (33%) to the HSE hybrid functionals leads to an almost perfect match of the experimental band gap of SnO2.45 This fact was confirmed by subsequent studies.27,28 However, the optimization of the mixing parameter is a purely empirical result based exclusively on the band gap tuning of bulk SnO2. Thus, it might not work well for defective systems, and moreover there is no guarantee that they accurately reproduce other aspects of the electronic structure not related to the band gap. Consequently, we used the HSE06 hybrid functional in its standard form with 25% of exact Hartree–Fock exchange contribution.

3 Results

3.1 Laser-wavelength dependence of the Raman spectra of SnO2:Ta (1.25 at% Ta)

When Raman scattering of SnO2:Ta (1.25 at% Ta) is excited with eight different laser wavelengths from 785 to 325 nm, distinct differences of the relative line intensities are observed (Fig. 1). The most obvious one was the transition from the D1 defect-line-dominated spectral structure in the visible spectral range (633 nm to 405 nm) to an L4 and L5 lattice-mode-dominated structure when UV laser radiation was applied. The L4 and L5 lattice modes were derived from the A1g mode of crystalline undoped SnO2.31,32 The relative intensities of these two Raman lines in the spectra measured with 785 nm laser excitation are also higher than in those excited with visible lasers. Different to the response in the UV, for NIR excitation, the L4 line was stronger than the L5 line. The second defect-induced Raman line D2 has an apparent intensity maximum for excitation with the deep blue laser line of 405 nm. In the following analysis, we focus on these four selected lines. The colour code of the Raman line labels below the spectra in Fig. 1 provides a rough guideline for the laser wavelength that the most prominent Raman lines have their apparent intensity maximum.
image file: d4ta08693g-f1.tif
Fig. 1 Raman spectra of SnO2:Ta (1.25 at% Ta) as a function of the excitation wavelength. The colour code of the line labels indicates the laser wavelength at which the most prominent lines have their apparent intensity maximum. The asterisk indicates a line caused by the CaF2 microscope objective used for UV excitation.

Prior to the detailed analysis of the intensity evolution as a function of the excitation wavelength for the D1 and D2 defect lines and the L4 and L5 A1g-derived lattice modes, a possible laser-wavelength-dependence of the line frequencies had to be checked. Such a dependence could have indicated the presence of different Raman lines, which are close in frequency but belong to different structures and are selectively enhanced for specific laser lines. The frequencies of three of the four relevant lines (D2, L4, and L5) were immediately found to be independent of the laser wavelength within the experimental accuracy (Fig. 2). Because the fit errors are larger for the overlapping L4 and L5 lines, their total frequency error is larger than that of the D1 and D2 lines. In contrast to the three other selected lines, the D1 line shows a significant shift, despite its very small frequency error (Fig. 2). A single Lorentzian fit model for the D1 line resulted in a large residual intensity compared with the experimental data (SI 1). A significantly better fit was achieved by a two Lorentzian model, indicating a splitting of the D1 line into a low-energy (D1-low) and a high-energy (D1-high) component (SI 1). Their mean frequencies are 402 ± 1 cm−1 and 412 ± 1 cm−1, respectively. Thus, both D1-line components have frequencies that are independent of the laser wavelength. The D1-high component has a higher intensity only for 325 nm and 405 nm laser excitation, accounting for the observed upshift in frequency under these conditions (Fig. 2).


image file: d4ta08693g-f2.tif
Fig. 2 Raman shifts of the most prominent Raman lines of SnO2:Ta (1.25 at% Ta) as a function of the laser wavelength.

Different D1 line frequencies indicate different structural environments of the VSn point defect. According to DFT calculations, a D1 line position of 431 cm−1 was found for the VSn-type defect located at the largest possible distance from the TaSn atom in the supercell (SnO2:Ta-VSn-2 (far from Ta)), and a frequency of 434 cm−1 was calculated for the model structure with directly neighbouring VSn and TaSn (SnO2:Ta-VSn-1 (near Ta)).10 Although the experimentally determined difference between the two D1 line components is larger than that of the calculated frequencies of the two model structures, the qualitative agreement of both data sets supports the existence of different VSn defect structures in the studied SnO2:Ta (1.25 at% Ta) samples.

Given that the designation of the defect structures proposed in ref. 10 (see previous paragraph) seems too technical for the current paper, herein we simplify the termini to SnO2:Ta-VSn-near and SnO2:Ta-VSn-far, and in the same way for the Oi-type defect structures.

3.2 Excitation profiles of selected Raman lines of SnO2:Ta (1.25 at% Ta)

The excitation wavelength-independent frequencies of the selected SnO2:Ta Raman lines including D1-low and D1-high show that these lines always originate from the same vibrational modes. This allows the investigation of the dependence of their Raman intensity from the exciting laser wavelength and laser energy. Given that the Raman scattering intensity has resonance character, according to46
 
image file: d4ta08693g-t3.tif(1)
the Raman intensity of selected lines can be resonantly enhanced when the laser energy (Elaser) matches the energy of an electronic transition (Egap) or the energy of the scattered light (Egap ± Eq; Eq is the energy of the involved phonon) in the studied system. The damping term prevents an infinite increase of the Raman line intensities and the numerator A includes the integral of the matrix elements of the Raman transition. Plotting the Raman line intensities against the laser wavelength gives the Raman excitation profiles, which allow conclusions about the electronic transitions of the studied samples.47–54

The Raman excitation profiles of the D1-low and D1-high lines can be well-described by single Gaussian profiles (Fig. 3). For example, a corrected r2 of 0.985 was obtained for the fit of D1-low with a Gaussian fit compared to 0.933 for the Lorentzian profile. The comparison of the integral intensities in the maximum and edge regions of the profiles yielded an enhancement by approx. a factor of 5 for both D1 lines. Moreover, the excitation profile maxima of D1-low and D1-high are found at slightly different wavelengths, as seen in Fig. 3a, b, and Table 3. The data in Table 3 indicate that both excitation profile maxima do not overlap even if the error bars are considered. This finding supports the existence of two VSn-type defect structures in SnO2:Ta (1.25 at% Ta). In addition to slightly different Raman frequencies, they have different electronic transition energies (ΔE). The transition energy difference of 0.08 eV corresponds to approx. 3 times kT for room temperature.


image file: d4ta08693g-f3.tif
Fig. 3 Raman excitation profiles of the VSn-type and Oi-type lines of SnO2:Ta (1.25 at% Ta). (a) VSn-type line D1-low (corrected r2 = 0.985), (b) VSn-type line D1-high (corrected r2 = 0.923), (c) Oi-type line D2, 1 Gaussian peak (corrected r2 = 0.813), and (d) Oi-type line D2, 2 Gaussian peaks (corrected r2 = 0.916). The blue coloured traces (connected squares) represent the regular residuals of the fits and the dash-dotted black lines represent the fitted baseline.
Table 3 Wavelengths and corresponding electronic transition energies of the Raman excitation profile intensity maxima of the D1-low, D1-high, and D2 Raman modes
Raman mode Raman shift/cm−1 Excitation profile maximum
Wavelength/nm Energy/eV
D1-low 402 ± 1 532 ± 5 2.33 ± 0.02
D1-high 412 ± 1 515 ± 11 2.41 ± 0.05
D2 848 ± 1 513 ± 44 2.42 ± 0.22
427 ± 21 2.90 ± 0.15


In the case of the D2 defect line, the two Gaussian line fit provided a much better fit than the single Gaussian one (Fig. 3c and d), respectively. It resulted in a much smaller residual intensity and gave better corrected r2 values. As expected from the evolution of the spectra as a function of the laser wavelength (Fig. 1), one resonance maximum of the D2 Raman line is located in the deep blue spectral range at 427 nm or 2.90 eV (Table 3). However, according to the 2 Gaussian line fit, a second resonance maximum exists for green laser wavelengths. This D2 line resonance maximum fits the resonance maximum of the D1-high defect line (Table 3). It should be noted that the error of the second D2 line excitation profile maximum is large. Thus, although its presence is justified by the asymmetric line shape of the excitation profile and the significantly better fit quality, this error leaves some uncertainty about the energy of this electronic transition. Independently, the analysis of the resonance Raman excitation profile maxima of SnO2:Ta (1.25 at% Ta) demonstrated the occurrence of three defect-related electronic transitions (ΔE) with the following energetic order:

ΔE1 (D2 line) > ΔE2 (D1-high + D2 line) > ΔE3 (D1-low line) (see Table 3).

The Raman excitation profiles of the L4 and L5 lattice modes cannot be described by spectral line functions (Fig. 4). Both the L4 and L5 A1g-derived lines have low intensity when the D1 and D2 lines have their resonance maxima. The L4 line intensity is almost independent of the laser wavelength, except for a slight increase by a factor of 1.5 for 785 nm excitation (Fig. 4a). The intensity evolution for the L5 line is more complex. The data indicated an increase by a factor of 5 for UV excitation, which might be caused by the pre-resonance enhancement related to the principal band gap transition of SnO2:Ta. Moreover, L5 displays a moderately higher intensity (by approx. a factor of 2.5) for the red and NIR laser lines compared to excitation by blue and green light (Fig. 4b).


image file: d4ta08693g-f4.tif
Fig. 4 Raman excitation profiles of the A1g-derived Raman lines of SnO2:Ta (1.25 at% Ta): (a) L4 line and (b) L5-line. The exponentially increasing fit function towards the NIR for (a) and the solid line for (b) are guides for the eye.

3.3 Analysis of the optical spectra of SnO2:Ta (1.25 at% Ta)

It is now interesting to relate the transition energies of the defect states to the optical bandgap of the studied TTO. The generally accepted bandgap of intrinsic SnO2 is 3.6 eV or slightly higher.5,6,29 Substitutional n-type doping usually results in partial filling of the conduction band, which increases the effective band gap in comparison to pristine SnO2. The optical spectra of SnO2:Ta (1.25 at% Ta) exhibit a sharp increase of the absorbance in the UV range, starting at approx. 300 nm (Fig. 5a). Two minor maxima at approx. 410 nm (3.0 eV) and 590 nm (2.1 eV; Fig. 5a) and a shoulder at approx. 325 nm (3.8 eV) in the absorption spectra are related to the interference pattern of the optically transparent thin film with a thickness of approx. 300 nm. The reflectivity edge in the NIR range is due to the plasma absorption of the free charge carriers. The Tauc-plot type analysis showed a linear relation between photon energy and (αhν)2 in the energy range of 4.25 eV to 4.475 eV. Such a correlation is characteristic for dipole-allowed, direct optical transitions of crystalline semiconductors.55 Its intercept with the energy axis, 4.13 ± 0.10 eV, corresponds to the optical band gap of the studied SnO2:Ta (1.25 at% Ta) (Fig. 5b). This value is in very good agreement with the findings of Williamson et al. and Uwihoreye et al., who reported values of 3.98 eV to 4.13 eV and 4.20 eV to 4.24 eV, respectively.16,29 The corresponding charge carrier concentrations were 1.8 × 1020 to 6.3 × 1020 cm−3 and 1.13 × 1020 to 2.33 × 1020 cm−3,16,29 respectively, similar to that of the samples studied here (2.0 × 1020 cm−3 to 4.6 × 1020).9,37,38
image file: d4ta08693g-f5.tif
Fig. 5 Optical properties of SnO2:Ta. (a) Measured transmittance and reflectance spectra and calculated absorbance spectrum. (b) Tauc-plot type analysis of the band gap of SnO2:Ta. The corrected r2 for the linear fit is 0.999 and fulfils the goodness of fit criterion of r2 > 0.99 defined by Zanatta et al.55

The analysis of the optical spectra implies that the defect states revealed by the Raman excitation profiles are located within the band gap. Their nature and effects on the electronic structure of SnO2:Ta are addressed in the following section.

3.4 Hybrid functional DFT calculations of the electronic structure of SnO2:Ta (1.25 at% Ta)

To gain further insight into the electronic properties of our defective SnO2 system, we performed DFT calculations using hybrid functionals, as described in Section 2.3. As a benchmark starting point, the DOS of pure SnO2 was calculated in agreement with previous work using similar methodologies.27,28,30 The valence band (VB) is dominated by O 2p states, which give rise to a strong doublet-shaped DOS maximum at its high-energy edge (Fig. 6a, SI 2 and SI 4). Minor contributions are derived from the Sn 4d states (close to the VBM) and Sn 5s states (approx. 7 eV below the VBM, SI 2). The conduction band (CB) is predominantly derived from the Sn 5s states (SI 2). Its bottom edge is not well defined due to the presence of weak peaks, representing states with a very low density. Substituting one Sn by one Ta atom (TaSn) leaves the high-energy VB states almost unchanged. The characteristic O 2p doublet structure as well as the signatures of the minor Sn contributions are conserved (SI 2). The Ta contribution in this energy range is very small (Fig. 6a and SI 2). The most significant changes occur in the CB. A Ta 5d state is found approx. 1 eV above the empty Sn 5s states at the CBM (Fig. 6a, SI 2 and SI 4). This state could be responsible for a spontaneous (resonant) net charge transfer to the Sn 5s CB, as proposed by Williamson et al.29 Moreover, the substitutional Ta atom causes a slight downshift in the bottom CB Sn 5s states and is responsible for the additional Ta 5d states at approx. 2 eV above the CBM (Fig. SI 2 and SI 4).
image file: d4ta08693g-f6.tif
Fig. 6 Calculated DOS of SnO2, SnO2:Ta and some defective systems in a 96-atom supercell leading to Ta concentrations of approx. 1 at%. (a) Comparison between pure SnO2 (black line) and SnO2:Ta (red line). (b) Comparison between pure SnO2 and SnO2 with point defects: SnO2-Oi (green line) and SnO2-VSn (blue line). (c) Comparison between SnO2:Ta and Oi defective systems (green lines) located at different distances of the Ta atom. (d) Comparison between SnO2:Ta and VSn defective systems (blue lines) located at different distances of the Ta atom. (e) Projection of the Oi-far defect states in the DOS of the model structure SnO2:Ta-Oi-far (brown line). (f) Projection of the VSn-far defect states in the DOS of the model structure SnO2:Ta-VSn-far (brown line).

Now, we focus on the point defects responsible for the defect-induced Raman signatures observed in our experiments. That is, interstitial oxygen atoms (Oi) and tin vacancies (VSn). Fig. 6b and SI 4b show the impact of these defects on the DOS of undoped SnO2. For both types of defects, the VB broadens and satellite DOS peaks emerge at the top of the VB, giving rise to a VB splitting. Broadening and splitting are more pronounced for the Sn vacancy defects (>1.0 eV above zero energy reference, see also Table 4). The energy of the VB maximum DOS is used as the zero energy reference. The detailed analysis of these contributions revealed that they indeed arise from the point defects. The corresponding Oi states are localized in the interstitial peroxide ions, and for VSn these states appear on the four closest O atoms near the tin vacancy (see Fig. SI 3b and d, respectively). Table 4 provides a detailed comparison of the VB splitting in all the defective systems considered in this work. The DOS at the bottom of the CB also changed compared to the defect-free SnO2 and SnO2:Ta. In these cases, the bottom edge of the CB-DOS is clearly defined at variance with the free-defect systems (see inset in Fig. 6b and SI 4).

Table 4 Valence band splitting found in defective systems of SnO2 and SnO2:Ta relative to the zero reference level
System Valence band splitting (ΔEs)/eV
SnO2-Oi 0.91
SnO2:Ta-Oi (near) 0.90
SnO2:Ta-Oi (far) 1.03
SnO2-VSn 1.11
SnO2:Ta-VSn (near) 1.16
SnO2:Ta-VSn (far) 1.44


Fig. 6c, SI 3a and SI 4c show the impact of Oi defects on the Ta-doped SnO2 system. The VB splitting of SnO2:Ta-Oi-far is larger, and that of SnO2:Ta-Oi-near is as large as that for SnO2-Oi (Table 4). The DOS structure of the CB is in good approximation not affected by the position of the Oi defect relative to the Ta dopant atom (Fig. SI 4c). Fig. 6d and SI 4 show the effect of VSn defects in the SnO2:Ta system. Among the model structures considered in this study, SnO2:Ta-VSn-far showed the largest VB splitting. A fine structure comprising several shoulders or local maxima can be verified in the DOS of the high-energy VB edge. The highest VB-DOS is located 1.44 eV above the zero reference level, which is 0.28 eV higher than the highest VB-DOS of SnO2:Ta-VSn-near (Table 4). The CBM level of this model structure is also slightly higher in energy than that of SnO2:Ta-VSn-near. The different extents of splitting of the VB states imply that the largest distortion of the VB electronic structure of SnO2:Ta is caused by the VSn-type defect with the farthest possible distance from the Ta dopant in the studied 96-atom supercell, followed by the VSn-near defect, and the smallest one by the Oi-type defect. The order of the VB splitting is inverse to the order of the electronic transition energies revealed by the resonance Raman excitation profiles. Consistently, a high electronic transition energy corresponds to a small VB splitting and vice versa.

A possible reason for the observed behaviour is found in the projected partial DOS of the defects (Fig. 6e and f). The Oi-far-type defect is characterized by narrow peaks in the density of states, which indicate the discrete and localized nature of this defect. This is in agreement with its origin of a peroxide molecule ion (O22−),10 which is electronically de-coupled from the rest of the band structure. Fig. 6f shows the projected density of states of the four oxygen atoms near the VSn-far type defect. In contrast to the former case, this defect has a broad energy distribution at the high-energy VB edge (Fig. 6f), which indicates its delocalized nature and strong coupling with the electronic system of the SnO2:Ta host.

We did not detect a noticeable difference in the band gap between the pure SnO2 and SnO2:Ta systems and the defective systems. Apparently, this result seems to contradict the so-called Burstein–Moss effect. In principle, partial filling of the CB by free carriers of the dopants should lead to an increment in the optical band gap, observed in our experiments. However, a naïve evaluation of the Burstein–Moss shift by comparing the DOS of the undoped and doped SnO2 systems might not be appropriate. This is because the experimental optical absorption shift also depends on other factors not visible from the electronic structure. Some authors pointed out that the difference between the edge of the CB and the VBM may account for the optical band gap instead of the purely electronic band gap.28,56 However, this is only a rough estimation in the best scenario.

4 Discussion

4.1 New insights for the interpretation of the Raman spectra of SnO2:Ta (1.25 at% Ta)

One of the main conclusions of our previous work10 was that the Raman spectra of the studied SnO2:Ta transparent conductive oxide (exp.: 1.25 at% Ta, calc.: 1.04 at%) are to be understood as the superposition of Raman lines arising from three structural contributions, i.e., SnO2:Ta, SnO2:Ta-Oi-far and SnO2:Ta-VSn-far. The present investigation confirmed the co-existence of VSn- and Oi-type defects. A new result is the evident presence of a second VSn-type defect structure in the thin-film samples. Both the calculated Raman spectra of the SnO2:Ta-Oi-far and SnO2:Ta-VSn-near structures exhibit a line at a frequency close to the experimental frequency of the D2 mode.10 The main resonance Raman maximum of the D2 line at 427 nm is related to the Oi-type defect. Its second excitation profile maximum at 513 nm is found at the same wavelength as the excitation profile maximum of the D1-high line (515 nm) within the experimental accuracy and is assigned to the electronic resonance of the VSn-near defect structure. Thus, in contrast to the two other observed point defects, the VSn-near defect in SnO2:Ta has two characteristic Raman lines that are enhanced under fulfilled resonance conditions. Notably, the co-existence of two VSn-type structures is in better agreement with our previous DFT stability calculations than the preference of the VSn-far defect, given that for the VSn-near defect the formation energy was found to be 1.4 eV smaller than for VSn-far (ref. 10, ESI).

The contribution of SnO2:Ta domains without additional point defects was mainly concluded from the very good agreement between the measured (605 cm−1) and calculated (593/601 cm−1) frequencies of the A1g-derived L4 line.10 The L5 line was attributed to SnO2:Ta with Oi-type defects (exp.: 625 cm−1; calc.: 614 cm−1). This defect has a line pair at 586/597 cm−1 in the calculated Raman spectra. Its mean frequency deviation from the experimental L4 frequency is 13.5 cm−1 (−2.2%), compared to 8 cm−1 (−1.3%) for SnO2:Ta. This is also a very good agreement and allows the L4 line to be assigned to SnO2:Ta with Oi-type defects as well. The detailed comparison of the calculated SnO2:Ta and SnO2:Ta-Oi-far Raman spectra with the experimental spectrum shows a very similar structure, without characteristic lines safely pointing to the existence of defect-free SnO2:Ta in the TTO samples under study (Fig. 7). For this comparison, the Raman spectrum recorded with 785 nm laser radiation was used, because the resonance enhancement effects are weak under this condition, and many lattice modes are better visible. The comparison displayed in Fig. 7 reveals a predominantly group-like correlation of the experimental and calculated Raman lines. The first group includes the experimental D1 (D1-low and D1-high), L2, L3, L6, and L7 lines, which have close correspondence to the calculated spectra of SnO2:Ta with VSn-far and VSn-near defects. This is indicated by the red/pink colour code in Fig. 7. The existence of both types of defects was concluded from the splitting of the D1 line and the slightly different Raman excitation profile maxima. The second group includes the L1, L4, L5, and L8 lines, which have corresponding lines in the calculated spectra of SnO2:Ta and SnO2:Ta-Oi-far (Fig. 7, green/blue colour code). While the presence of the latter is evident due to the presence of the D2 line, its excitation profile maximum at 427 nm, and the corresponding VB splitting found in the DFT calculations, there is no compelling reason to assume the existence of defect-free SnO2:Ta domains in the studied TTO samples.


image file: d4ta08693g-f7.tif
Fig. 7 Comparison of the experimental Raman spectrum of SnO2:Ta measured at 785 nm laser radiation with the calculated Raman spectra of SnO2:Ta-VSn-far, SnO2:Ta-VSn-near, SnO2:Ta-Oi-far, and SnO2:Ta. The spectra were normalized and shifted along the y-axis for clarity. The label D denotes defect modes, and the label L denotes lattice modes. The colour code connects the lines in the experimental spectrum with the corresponding modes in the calculated Raman spectra. The calculated spectra were obtained in our previous work.10

Based on the identification of three defect structures in the studied SnO2:Ta thin films, it seems worth giving a more detailed description of the normal modes, which are responsible for the characteristic D1, D2, L4, and L5 Raman lines. The D1 defect line of both SnO2:Ta-VSn-far and SnO2:Ta-VSn-near is caused by the O atom vibrations of dangling Sn–O bonds in the direct vicinity of the tin vacancy. The D2 mode of SnO2:Ta-Oi-far arises from the stretching vibration of an O2 dimer with an O–O bond distance of 151 pm embedded in the crystal structure of SnO2:Ta. In the case of the SnO2:Ta-VSn-near defect structure, a stretching vibration of the oxygen atoms in the distorted TaO6 octahedron next to the VSn defect has almost the same frequency. The calculated frequencies of both D2 modes are almost the same, i.e., 875 cm−1 and 880 cm−1. Their simultaneous presence in the spectra could only by revealed by measuring their excitation profiles. In contrast to the localized D1 and D2 modes, the lattice modes responsible for the A1g-derived lines L4 + L5 are delocalized over the whole supercell, and consequently the whole crystal lattice. Unlike in the SnO2:Ta thin films investigated here, the Raman spectra of SnO2 nanocrystal samples with diameters from 3 nm to 10 nm are dominated by a line at approx. 570 cm−1, which is attributed to near-surface oxygen vacancy defects.57 In SI 5, we included the coordinates of several frames (as *.xyz files) of the six most relevant vibrational modes responsible for the characteristic Raman lines (i.e., D1, D2, L4 and L5) in the different model structures of this study. These files allow the direct visualization of each normal mode using standard software such as Jmol or Avogadro.

4.2 Electronic structure of SnO2:Ta (1.25 at% Ta)

The combination of Raman spectroscopic, optical, and hybrid functional DFT data in this study allowed detailed conclusions about the electronic structure of Ta-doped SnO2 (1.25 at% Ta). The studied thin film samples, which are slightly O-rich, exhibit two VSn- and one Oi-type defects, in addition to the substitutional Ta atom, TaSn. These additional point defects have a significant effect on the electronic structure of the material. This is predominantly expressed in the broadening and splitting of the electronic states at the top of the valence band, and specifically in an upshift of the upper VB states relative to the DOS maximum of the valence band. The upshift is highest for the VSn-type defect located far from the TaSn atom, and smallest for the Oi-far-type defect, the chemical nature of which is a diatomic peroxide molecule ion. The ordering of the VBM upshift correlates with the calculated degree of structural deformation of the lattice and the ordering of the defect formation energies published previously (ESI in ref. 10). The defect-induced VBM states are the initial states for the electronic transitions, which were identified by the Raman excitation profiles of the characteristic defect lines. Depending on the specific point defect, different transition energies were found. In detail, we obtained the following correlations between the experimental Raman and the hybrid functional DFT data for the individual point defects (Table 5).
Table 5 Characteristic Raman signatures and electronic properties of the three identified point defects in SnO2:Ta (1.25 at% Ta)
Defect type Characteristic Raman lines and Raman shifts Electronic transition energy Valence band splitting (ΔEs)
VSn-far D1-low: 402 ± 1 cm−1 2.33 eV 1.44 eV
VSn-near D1-high: 412 ± 1 cm−1 + D2: 848 ± 1 cm−1 2.41 … 2.42 eV 1.16 eV
Oi-far D2: 848 ± 1 cm−1 2.90 eV 1.03 eV


Moreover, the following characteristics of the defects were found:

(1) The VSn-far type defect has a delocalized nature and causes the strongest perturbation of the VB electronic structure with at least three additional features at its high-energy edge.

(2) The second VSn-type defect, VSn-near, where the tin vacancy directly neighbours the TaSn atom, also produces significant perturbations of the electronic structure with at least two additional VB-DOS features compared to SnO2:Ta.

(3) The Oi-far defect has a strongly localized nature. It is responsible for three narrow DOS states, one of them resulting in an additional, up-shifted VBM peak. The overall perturbation of the DOS is smaller than for the two VSn-type defects.

The major optical absorption of SnO2:Ta (1.25 at% Ta) at 4.13 ± 0.10 eV is due to a dipole-allowed direct inter-band transition, which is assigned to the fundamental band-gap transition of the studied TCO. Fig. 8 shows a schematic illustration of the electronic band structure of Ta-doped SnO2 (1.25 at% Ta) and the measured electronic transitions. This figure considers the localized or delocalized origin of the three defect states, and also the relative position and localized nature of the Ta 5d states in the conduction band (see Section 3.4). The relative transition energies, reflected by the length of the arrows, correspond to the values obtained by the Raman excitation profiles and optical spectra. The relative energies of the defect states were chosen to fit with the experimental transition energies, i.e. they are slightly shifted towards the bandgap centre compared to the splitting energies obtained in the DFT calculations.


image file: d4ta08693g-f8.tif
Fig. 8 Schematic of the obtained electronic band structure of Ta-doped SnO2 (1.25 at% Ta) and the electronic transitions identified in this study.

5 Conclusions

Detailed insight in the electronic structure of the SnO2:Ta transparent conductive oxide (1.25 at% Ta) was achieved by the combination of resonance Raman spectroscopy, optical spectroscopy, and hybrid functional DFT calculations. Ta was confirmed to be an effective donor for SnO2 due to the favourable location of the Ta 5d states at approx. 1 eV above the CBM. The electronic transition energies of additional point defect states were obtained from the Raman excitation profile maxima. Two Sn-vacancy type point defects and one O-interstitial type defect could be distinguished. The DFT calculations revealed significant changes in the valence band electronic structure due to Oi- and VSn-type point defects, visible by VB splitting with additional states at the top of the valence band compared to defect-free SnO2 and SnO2:Ta. The observed VB splitting shows the reverse order to the electronic transition energies of the defect states. This finding has fundamental importance for the conclusions of this work. The results reveal the significantly larger distortion of the electronic structure due to VSn-type defects than due to Oi-type defects. In addition, the distortion is larger when substitutional Ta and Sn vacancy have a large distance, and smaller if they are direct neighbours. These findings were explained by the localized nature of the Oi-type states and the delocalization of the VSn-type states over four O atoms located in close proximity to the tin vacancy. Regarding the question whether the VSn- and Oi-type defects are favourable or unfavourable for the electrical and optical properties of SnO2:Ta, this work concluded that the latter is true. Their optical excitations in the visible range reduce the transmittance. However, these point defects are not the major limiting factor for the performance of the studied thin films. This was concluded from the significantly higher optical carrier mobility of (35 ± 3) cm2 V−1 s−1 compared to the electric mobility of (14 ± 3) cm2 V−1 s−1.9 As the main factor for this difference, intergrain scattering of the charge carriers at grain boundaries was proposed, which predominantly reduces the macroscopic electrical properties.58,59 The defects studied in our recent manuscript are of intragrain nature or local origin and affect both the macroscopic and microscopic electrical properties.

In summary, the methodological combination applied in this study was demonstrated to be a powerful approach to get detailed insight into the electronic structure of the Ta-doped SnO2 transparent conductive oxide. Thus, it is tempting to apply it to other TCOs to determine whether this knowledge about the point defects can help to optimize their electric and optical properties.

Data availability

Data for this article, including primary Raman, optical, and DFT data are available at Rodare repository of HZDR at https://doi.org/10.14278/rodare.3293.

Author contributions

Matthias Krause: conceptualization, methodology, investigation, formal analysis, data curation, writing – original draft, writing – review & editing; Carlos Romero-Muñiz: investigation, data curation, formal analysis, visualization, writing – original draft, review & editing; Oleksandr Selyshchev: investigation, data curation, writing – original draft, review & editing; Dietrich R. T. Zahn: writing – review & editing; Ramon Escobar-Galindo: conceptualization, funding acquisition, project administration, writing – original draft, review & editing. The article was written without any assistance of artificial intelligence.

Conflicts of interest

There are no conflicts to declare.

Acknowledgements

Angela Schneider, Jens Zscharschuch, and Robert Aniol (all from HZDR) are gratefully acknowledged for technical assistance. For sample preparation, we thank Dr F. Lungwitz (HZDR) and M.Sc. A. Mendez (Nano4Energy S.L., Madrid, Spain). We thank Dr P. Zahn and Prof. A. Erbe (HZDR) for careful proofreading of the manuscript and helpful comments. C. R.-M. acknowledges financial support by the Ramón y Cajal program of the Spanish Ministry of Science and Innovation (Ref. RYC2021-031176-I). We also thank the computing time provided by the Servicio de Supercomputación de la Universidad de Granada in Albaicín supercomputer.

References

  1. K. L. Chopra, S. Major and D. K. Pandya, Thin Solid Films, 1983, 102, 1–46 CrossRef CAS.
  2. M. Batzill and U. Diebold, Prog. Surf. Sci., 2005, 79, 47–154 CrossRef CAS.
  3. K. Ellmer, Nat. Photonics, 2012, 6, 808–816 CrossRef.
  4. S. C. Dixon, D. O. Scanlon, C. J. Carmalt and I. P. Parkin, J. Mater. Chem. C, 2016, 4, 6946–6961 RSC.
  5. K. Ellmer, R. Mientus and S. Seeger, Metallic Oxides (ITO, ZnO, SnO2, TiO2), in Transparent Conductive Materials: Materials, Synthesis, Characterization, Applications, ed. D. Levy and E. Castellon, Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim, 2018, pp. 33–80,  DOI:10.1002/9783527804603.
  6. G. K. Dalapati, H. Sharma, A. Guchhait, N. Chakrabarty, P. Bamola, Q. Liu, G. Saianand, A. M. S. Krishna, S. Mukhopadhyay, A. Dey, T. K. S. Wong, S. Zhuk, S. Ghosh, S. Chakrabortty, C. Mahata, S. Biring, A. Kumar, C. S. Ribeiro, S. Ramakrishna, A. K. Chakraborty, S. Krishnamurthy, P. Sonar and M. Sharma, J. Mater. Chem. A, 2021, 9, 16621–16684 RSC.
  7. H. Toyosaki, M. Kawasaki and Y. Tokura, Appl. Phys. Lett., 2008, 93, 132109 CrossRef.
  8. M. Fukumoto, S. Nakao, K. Shigematsu, D. Ogawa, K. Morikawa, Y. Hirose and T. Hasegawa, Sci. Rep., 2020, 10, 6844 CrossRef CAS PubMed.
  9. F. Lungwitz, R. Escobar-Galindo, D. Janke, E. Schumann, R. Wenisch, S. Gemming and M. Krause, Sol. Energy Mater. Sol. Cells, 2019, 196, 84–93 CrossRef CAS.
  10. M. Krause, M. Hoppe, C. Romero-Muñiz, A. Mendez, F. Munnik, A. Garcia-Valenzuela, C. Schimpf, D. Rafaja and R. Escobar-Galindo, J. Mater. Chem. A, 2023, 11, 17686–17698 RSC.
  11. K. Stöwe and M. Weber, Z. Anorg. Allg. Chem., 2020, 646, 1470–1480 CrossRef.
  12. R. K. Gupta, K. Ghosh, S. R. Mishra and P. K. Kahol, Appl. Surf. Sci., 2008, 254, 4018–4023 CrossRef CAS.
  13. E. Terzini, P. Thilakan and C. Minarini, Mater. Sci. Eng., B, 2000, 77, 110–114 CrossRef.
  14. M. Weidner, J. J. Jia, Y. Shigesato and A. Klein, Phys. Status Solidi B, 2016, 253, 923–928 CrossRef CAS.
  15. R. Ramarajan, J. M. Fernandes, M. Kovendhan, G. Dasi, N. P. Reddy, K. Thangaraju and D. P. Joseph, J. Alloys Compd., 2022, 897, 163159 CrossRef CAS.
  16. V. Uwihoreye, Z. N. Yang, J. Y. Zhang, Y. M. Lin, X. Liang, L. Yang and K. H. L. Zhang, Sci. China Mater., 2023, 66, 264–271 CrossRef CAS.
  17. H. Kim, R. C. Y. Auyeung and A. Piqué, Thin Solid Films, 2008, 516, 5052–5056 CrossRef CAS.
  18. Z. Y. Banyamin, P. J. Kelly, G. West and J. Boardman, Coatings, 2014, 4, 732–746 CrossRef.
  19. B. Bissig, T. Jäger, L. Ding, A. N. Tiwari and Y. E. Romanyuk, APL Mater., 2015, 3, 062802 CrossRef.
  20. Q. Shen, P. Yang, N. Li, M. J. Li, F. Chen and L. M. Zhang, J. Wuhan Univ. Technol., Mater. Sci. Ed., 2016, 31, 20–26 CrossRef CAS.
  21. L. S. Parshina, O. A. Novodvorsky, O. D. Khramova, I. A. Petukhov, V. A. Mikhalevsky, A. A. Lotin, E. A. Cherebilo and V. Y. Panchenko, Opt. Quantum Electron., 2016, 48, 316 CrossRef.
  22. E. Shanthi, V. Dutta, A. Banerjee and K. L. Chopra, J. Appl. Phys., 1980, 51, 6243–6251 CrossRef CAS.
  23. B. Stjerna, E. Olsson and C. G. Granqvist, J. Appl. Phys., 1994, 76, 3797–3817 CrossRef CAS.
  24. C. Kilic and A. Zunger, Phys. Rev. Lett., 2002, 88, 095501 CrossRef PubMed.
  25. A. K. Singh, A. Janotti, M. Scheffler and C. G. Van de Walle, Phys. Rev. Lett., 2008, 101, 055502 CrossRef PubMed.
  26. K. G. Godinho, A. Walsh and G. W. Watson, J. Phys. Chem. C, 2009, 113, 439–448 CrossRef CAS.
  27. J. Y. Wang, J. Y. Chang, S. X. Kang, Y. Chen and S. W. Fan, Mater. Today Commun., 2023, 37, 107632 CrossRef CAS.
  28. M. Behtash, P. H. Joo, S. Nazir and K. Yang, J. Appl. Phys., 2015, 117, 175101 CrossRef.
  29. B. A. D. Williamson, T. J. Featherstone, S. S. Sathasivam, J. E. N. Swallow, H. Shiel, L. A. H. Jones, M. J. Smiles, A. Regoutz, T. L. Lee, X. M. Xia, C. Blackman, P. K. Thakur, C. J. Carmalt, I. P. Parkin, T. D. Veal and D. O. Scanlon, Chem. Mater., 2020, 32, 1964–1973 CrossRef CAS PubMed.
  30. P. P. Filippatos, N. Kelaidis, M. Vasilopoulou and A. Chroneos, Sci. Rep., 2023, 13, 20983 CrossRef CAS PubMed.
  31. J. F. Scott, J. Chem. Phys., 1970, 53, 852–853 CrossRef CAS.
  32. P. S. Peercy and B. Morosin, Phys. Rev. B, 1973, 7, 2779–2786 CrossRef CAS.
  33. J. Zuo, C. Y. Xu, X. M. Liu, C. S. Wang, C. Y. Wang, Y. Hu and Y. T. Qian, J. Appl. Phys., 1994, 75, 1835–1836 CrossRef CAS.
  34. A. Dieguez, A. Romano-Rodriguez, A. Vila and J. R. Morante, J. Appl. Phys., 2001, 90, 1550–1557 CrossRef CAS.
  35. L. Z. Liu, T. H. Li, X. L. Wu, J. C. Shen and P. K. Chu, J. Raman Spectrosc., 2012, 43, 1423–1426 CrossRef CAS.
  36. J. X. Zhou, M. S. Zhang, J. M. Hong and Z. Yin, Solid State Commun., 2006, 138, 242–246 CrossRef CAS.
  37. F. Lungwitz, PhD thesis, Technische Universität Chemnitz, 2024.
  38. A. Mendez, Master thesis, Universidad Politécnica de Madrid, 2018.
  39. J. Tauc, R. Grigorovici and A. Vancu, Phys. Status Solidi B, 1966, 15, 627–637 CrossRef CAS.
  40. A. R. Zanatta, Sci. Rep., 2019, 9, 11225 CrossRef CAS PubMed.
  41. A. V. Krukau, O. A. Vydrov, A. F. Izmaylov and G. E. Scuseria, J. Chem. Phys., 2006, 125, 224106 CrossRef PubMed.
  42. G. Kresse and J. Furthmuller, Phys. Rev. B:Condens. Matter Mater. Phys., 1996, 54, 11169–11186 CrossRef CAS PubMed.
  43. P. Mori-Sánchez, A. J. Cohen and W. Yang, Phys. Rev. Lett., 2008, 100, 146401 CrossRef PubMed.
  44. Q. Zhao and H. J. Kulik, J. Chem. Theory Comput., 2018, 14, 670–683 CrossRef CAS PubMed.
  45. J. B. Varley, A. Janotti and C. G. Van de Walle, Phys. Rev. B:Condens. Matter Mater. Phys., 2010, 81, 245216 CrossRef.
  46. A. Jorio, M. S. Dresselhaus, R. Saito and G. F. Dresselhaus, Raman Spectroscopy in Graphene Related Systems, Wiley-VCH, Weinheim, 2012 Search PubMed.
  47. J. F. Scott, T. C. Damen, R. C. C. Leite and W. T. Silfvast, Solid State Commun., 1969, 7, 953–955 CrossRef CAS.
  48. M. A. Renucci, J. B. Renucci and M. Cardona, Phys. Status Solidi B, 1972, 49, 625–631 CrossRef CAS.
  49. J. B. Renucci, W. Richter, M. Cardona and E. Schonherr, Phys. Status Solidi B, 1973, 60, 299–308 CrossRef CAS.
  50. G. W. Rubloff, E. Anastassakis and F. H. Pollak, Solid State Commun., 1973, 13, 1755–1759 CrossRef CAS.
  51. W. Richter, R. Zeyher and M. Cardona, Phys. Rev. B, 1978, 18, 4312–4324 CrossRef CAS.
  52. S. K. Doorn, D. A. Heller, P. W. Barone, M. L. Usrey and M. S. Strano, Appl. Phys. A:Mater. Sci. Process., 2004, 78, 1147–1155 CrossRef CAS.
  53. H. Kuzmany, Solid State Spectroscopy – An Introduction, Springer, Berlin, Heidelberg, New york, 1998 Search PubMed.
  54. R. Saito, M. Hofmann, G. Dresselhaus, A. Jorio and M. S. Dresselhaus, Adv. Phys., 2011, 60, 413–550 CrossRef CAS.
  55. A. R. Zanatta, Sci. Rep., 2019, 9, 11225 CrossRef CAS PubMed.
  56. D. J. Cheng, M. M. Zhang, J. F. Chen, C. X. Yang, X. F. Zeng and D. P. Cao, J. Phys. Chem. C, 2014, 118, 2037–2043 CrossRef CAS.
  57. L. Z. Liu, X. L. Wu, F. Gao, J. C. Chen, T. H. Li and P. K. Chu, Solid State Commun., 2011, 151, 811 CrossRef CAS.
  58. D. H. Zhang and H. L. Ma, Appl. Phys. A, 1996, 62, 487–492 CrossRef.
  59. J. Steinhauser, S. Fay, N. Oliveira, E. Vallat-Sauvain and C. Ballif, Appl. Phys. Lett., 2007, 90, 142107 CrossRef.

Footnote

Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d4ta08693g

This journal is © The Royal Society of Chemistry 2025
Click here to see how this site uses Cookies. View our privacy policy here.