1. INTRODUCTION
Chalcogenide glasses exhibit several types of photoinduced phenomena, including photoinduced changes in local atom configuration, as has been investigated extensively [1–3]. High optical nonlinearity is a key factor for chalcogenide glasses to be useful for photonic devices; as for a given glass system, the nonlinearity of chalcogenide glasses increases as the optical bandgap energy decreases [3]. The optical bandgap energy depends on the composition, which decreases in the series [4,5]. It is relevant to investigate the photoinduced charge carrier dynamics in highly nonlinear chalcogenide glasses. The first investigations of conductivity in chalcogenide glasses go back to the 1970s and 1980s [6–8]. Two theoretical models based on hopping between localized states have been proposed to explain the measured ac conductivity [3,6,7]. The conductivity in many chalcogenide glasses is governed by holes. However, in glasses with large concentrations of tellurium, the metallic character increases [4] but, to date, ac conductivity measurements in these glasses are limited to frequencies up to . However, in conductors with scattering times in the 10–100 fs range, such as in amorphous materials, the conductivity dynamics span an extremely broad frequency range, typically from the gigahertz to the terahertz (THz) range. Therefore, broadband, frequency-dependent THz conductivity measurements are required for a detailed understanding of the photoinduced charge carrier dynamics in chalcogenide glasses, as well as for extraction of fundamental carrier dynamics parameters, such as the mobility and scattering time.
Chalcogenide glasses have been characterized in the low THz region, where the amorphous, glassy structure leads to a universal dielectric function [9–11]. We have previously reported on the dielectric properties of the chalcogenide glasses and GaLaS in a broader frequency range, revealing the cross-over frequency between universal absorption given by disorder and distinct absorption bands given by the specific material composition as narrow vibrational bands [12]. Together with the speed of sound in the material, this cross-over frequency determines a characteristic length scale of the local order in an amorphous material.
Here we report on the static dielectric properties and transient photoconductive properties of tellurium-doped arsenic selenide () in the 1–18 THz range (). We find that the dielectric function is well described by that of two vibrational modes. The photoinduced conductivity can be described by a conductivity model that takes confinement of carriers into account, and the conductivity dynamics is well described by a standard model for carriers in disordered materials.
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2. EXPERIMENTAL METHODS
The static and transient optical properties of the samples are characterized in the THz frequency range using THz time-domain spectroscopy (THz-TDS) [13,14]. The setup for static and transient THz spectroscopy is schematically illustrated in Fig. 1. Femtosecond laser pulses from a commercial amplified laser system (SpectraPhysics Spitfire Pro) with central wavelength 800 nm, pulse duration 35 fs, and pulse energy up to 3 mJ are used to drive the experimental setup.

Figure 1.Experimental setup for static and transient THz-TDS. For static spectroscopy, the pump pulse is blocked. The THz beam splitter (BS) together with mirror M are used in reflection mode.

Figure 2.THz time domain traces transmitting through a 54-μm-thick sample of and dry air. The inset shows the corresponding Fourier transformed spectra.
Ultrabroadband THz pulses are generated by focusing the laser pulses with their second harmonics in air, thereby creating an extended air plasma. The nonlinear photocurrents in this plasma channel generate an intense, broadband THz transient [15–18], emitted in a conical shape in the forward direction from the focal region of the plasma [19,20]. The estimated peak field strength in the time domain incident on the sample is 50–100 kV/cm, and we have observed no indications of a nonlinear response from the sample. The THz pulses propagate through a standard system of off-axis paraboloidal mirrors (OPM), and are detected by air-biased coherent detection (ABCD) [21] with an avalanche photodiode (APD) for linear detection of the THz-induced second-harmonic of the THz sampling beam in the detection region [22].
In ABCD, two closely spaced electrodes enclose the focal region where both the THz beam after the final OPM and the 800 nm sampling beam are focused. The electrodes are biased with a kilovolt-level high voltage modulated at half the laser repetition rate (500 Hz). A lock-in amplifier phase locked to the 500 Hz modulated signal coherently picks up the second-harmonic of the 800 nm sampling beam with an intensity proportional to the instantaneous THz electric field strength. By scanning of the time delay, , the complete waveform of the THz pulse can be recorded. For time-resolved THz spectroscopy (TRTS), an optical pump pulse as a specific pump–probe delay can be directed to the sample, and the optical properties at THz frequencies at that specific delay can then be recorded. All measurements can be performed in transmission or reflection. In reflection mode, a THz beam splitter (an undoped, high-resistivity silicon wafer) and a mirror are inserted in the THz beam path, as shown in Fig. 1, so that the THz waveform from the sample is recorded. The silicon beam splitter is simultaneously used to block the 800/400 nm pump light from the THz generation.
3. SAMPLE PREPARATION
For the glass synthesis, arsenic (7N, Furukawa Denshi Co. Ltd) and selenium (5N, Mateion) were prepurified by heating under vacuum () at 310°C and 270°C, respectively; the tellurium (5N, Cerac) was used as received. The glass precursors were each batched into a prepurified silica-glass ampoule, which was then evacuated and sealed. Glass melting was carried out with the following schedule. (i) The temperature was raised from room temperature to 250°C at 30°C per hour. (ii) Following a dwell at 250°C for 2 h, rocking of the furnace was started and the temperature increased to 800°C at a rate of 40°C per hour. (iii) The melting continued at 800°C, with rocking, for a further 12 h. (iv) The melt was then cooled from 800°C to 650°C at 40°C per hour while still rocking. (v) Finally, the rocking was then stopped and the melt held at 650°C for 4 h before quenching under a nitrogen gas jet as the ampoule was gradually withdrawn from the furnace. The glass rod produced was then annealed by heating at 138°C (the onset glass transition temperature, , for this composition is ) for 2 h, followed by cooling to 65°C at 5 °C per hour and then from 65°C to room temperature at 20°C per hour. Circular disks of 10 mm diameter and 1.7 mm thick were cut (Leco, diamond wafer blade) from the annealed glass rod.
The glass disks used for the present work each underwent a generic optical sample preparation procedure before being pressed to form the thin sample measured. This involved polishing both sides of the disks using silicon carbide powder (400 grit and 1000 grit progressively; supplier Buehler) with silicone-based polishing oil (supplier Buehler) as the lubricant medium. Both sides were subsequently polished to a 1 μm finish using a Metaserv 2000 polishing wheel and progressively finer Metaserv diamond paste. The samples were then hot pressed under vacuum at above the onset between two tungsten carbide disks (each of 100 mm diameter, flatness 0.08 μm, and of surface finish 0.009 μm) and then annealed at and allowed to cool with the press. The same tungsten carbide plates were used to further hot press one of the samples to form the ultrathin sample for the present measurements. This subsequent hot pressing was undertaken at above , followed by cooling with the press, and yielded a sample of thickness 54 μm.
4. COMPLEX REFRACTIVE INDEX OF As30Se30Te40
The optical properties of the free-standing 54-μm-thick sample are measured in transmission THz-TDS. The THz time domain traces transmitting through sample and air are compared in Fig. 2. The absorption dip at 18.5 THz is caused by phonon overtone absorption in the silicon pump beam block. After transmission through the sample, the single-cycle THz pulse broadens somewhat in time due to the material dispersion. The oscillation near 2.5 ps is the first Fabry–Perot reflection inside the sample, which will cause oscillations for the corresponding Fourier transformed spectrum, shown in the inset of Fig. 2.

Figure 3.(a) Refractive index and absorption coefficient and (b) the real and imaginary parts of the complex permittivity of . The error bars indicate the standard deviation based on three individual measurements.
The two dips in the spectrum are attributed to the corresponding two resonance modes of the sample. A specialized extraction algorithm that takes into account the reflection is used to calculate the optical parameters [13]. The extracted refractive index and absorption coefficient are shown in Fig. 3(a). The absorption band at 2–3 THz corresponds to different bond-bending vibrations [23], and the strong broadband at 5–8 THz is attributed to the antisymmetric As–Se–As stretching vibration pyramidal units [4]. At high frequencies above 9 THz, the absorption coefficient levels off at a relatively low value of approximately . The permittivity can be directly calculated from the index of refraction and the absorption coefficient, and is shown in Fig. 3(b). Vibrational modes can typically be described by the Lorentz oscillator model. For two oscillator modes, we use the expression for the permittivity, to extract the resonance frequencies, damping rates, and oscillator strengths for the two modes, as shown in Table 1.

Table 1. Parameters for the Oscillator Model for
Table 1. Parameters for the Oscillator Model for
Mode i | 1 | 2 | ωi [rad/ps] | 13.6±0.22 | 42.05±0.08 | γi [rad/ps] | 16.8±1.2 | 9.6±0.3 | Ai [rad2/ps2] | 403±25 | 1205±25 | ϵ∞ | 8.76±0.015 | – |
|
A fit with a double-Lorentz model to the experimental data is shown together with the experimental data in Fig. 3. The complex refractive index of will be used for the TRTS.
5. TRTS
has a low electronic bandgap of 1.06 eV, defined as the spectral position where optical absorption exceeds . As described above, here we photoexcite the sample with 800 nm (1.55 eV) pump pulses of 40 fs duration, and fluences in the range . The photoconductivity is probed by the broadband THz pulse at normal incidence in reflection mode. In this mode, the temporal resolution is determined by the duration of the optical pump pulse [24,25]. For a given pump–probe time delay , the relative photoinduced change of the reflected THz field is related to the photoconductivity of the surface layer [24,26]: where is the (frequency-dependent) reflectivity of the unpumped sample with refractive index [Fig. 3(a)], is the free-space impedance, and is the thickness of the photoexcited layer. In the small-signal limit , Eq. (2) can be written as which relates the peak of the photoinduced reflectivity to the average photoconductivity. Figure 4 shows the temporal dynamics of the average photoconductivity at pump fluences of . From these data we have found that single-photon absorption is dominant, with a slight tendency of saturation at the highest fluences.

Figure 4.(a) Differential reflectivity of the THz peak electric field as a function of pump–probe delay time for pump fluences of . The symbols are experimental results, and the solid lines represent the decay kinetics model shown in the inset. (b) Normalized decay curves, which show that the kinetics slows down at increasing pump fluence.
At all the pump fluences, the relaxation process can be described by combined fast and slow decay processes. The kinetics of the conductivity decay can be described by the model illustrated in the inset of Fig. 4(a). The experimental data show the photoconductivity induced by the pump pulse, converted from the induced reflectivity change by using a scattering time of 18 fs (see below) and a thickness of the photoexcited layer of 10 μm. The peak reflectivity modulation is 2% at the highest excitation fluence. The model results represented by the solid lines are inspired by a similar model describing carrier kinetics in photoexcited NaCl [27]. Carriers are excited from the valence band (VB) to the conduction band (CB) by the pump pulse with intensity profile , and the electrons and holes subsequently thermalize (cool) to the respective band minimums with rate . Electrons and holes are rapidly captured in a finite population of self-trapped exciton (STE) states, a mechanism known from other disordered semiconducting materials. We assume that holes are trapped at a significantly higher rate than the electrons [27], and that the trapping rate of the electrons is limited by the available number of trap sites. The model can then be described by a set of first-order rate equations: where are the concentrations of hot electrons, thermalized electrons, trapped electrons, trapped holes, thermalized holes, and hot holes, respectively, normalized with respect to a critical density for an 800 nm pump wavelength. The single-photon absorption cross section . The trapping cross section is based on estimates of the electron–hole capture cross section as reported for NaCl [27–29], and the velocity of carriers is taken as the thermal velocity of the carriers at room temperature. We have used electron and hole cooling rates (150 fs time constant) and an ultrafast hole trapping rate (200 fs time constant). Finally, the trap density was set to . The photoconductivity is proportional to the product of the charge carrier concentration and mobility:
The free carriers will have a Drude-like response, whereas the STE will have a bound-state response. However, the detailed parameters for the STE (resonance frequency, oscillator strength, damping) are difficult to estimate. The effective masses used here are and . With these considerations, the transient photoconductivity for the different excitation fluences can be modeled as shown in Fig. 4(a) (solid curves). The simulated curves have arbitrary absolute amplitude, and have been scaled so that the peak of the simulated photoconductivity at highest excitation density coincides with that of the corresponding experimental data. Figure 4(b) shows the same data in a normalized fashion, which allows a comparison between the observed trend in experiment that the dynamics slows down at higher excitation fluence, a trend that is reproduced by the model. This behavior is in contrast to the decay dynamics in NaCl [27], where a faster initial decay has been observed at higher multiphoton excitation fluence. Although our initial modeling of the decay dynamics of the carriers in at single-photon excitation offers a reasonable explanation of the process, there is clearly a need for further investigation of the processes to establish better estimates of the various parameters in the model.
To shed further light on the nature of the conductivity in , we performed a full spectroscopic study of the temporal evolution of the frequency-dependent photoconductivity. This method, known as TRTS, is performed by recording the full temporal profile of the reflected THz field for a range of pump–probe delay times. The practical implementation of the measurements involves simultaneous recording of the pump and reference signals [30] and follows a standard data extraction scheme [13,24].
The temporal evolution of the photoinduced complex conductivity calculated from Eq. (2) is shown in Fig. 5. The THz waveforms were measured at 15 different pump–probe delay times with time interval of 100 fs. Similar to the results in Fig. 4, we observe a rapid increase and subsequent decay of the photoconductivity. As will be discussed in some more detail below, the real part of the conductivity has its maximum at a frequency higher than zero, indicative of some degree of carrier localization. Additionally, the rise of the imaginary part of the photoconductivity precedes that of the real part by approximately 100 fs. If the photoinduced conductivity change is converted to a refractive index change (), as shown in Fig. 6, then the maximum refractive index change is , which is 100 times bigger than what could be expected from an optically induced Kerr effect [31]. The fast refractive index change comes 100 fs before the real conductivity reaches the maximum and decays within 100 fs, similar to the decay of the imaginary part of the photoconductivity.

Figure 5.2D map of (a) the real part and (b) the imaginary part of the photoinduced ultrafast conductivity of at a pump fluence of .

Figure 6.2D map of photoinduced refractive index change of in reflection measurement at pump fluence of .
The photoinduced complex conductivity at pump–probe delay is plotted in Fig. 7.

Figure 7.Complex photoinduced conductivity of at pump fluence of . The solid lines are the fits based on the Drude–Smith model.
The real part of the conductivity is positive and decreases with decreasing frequency at low frequencies, and the imaginary part close to dc frequency becomes negative. There is a tendency that the real part of the photoconductivity peaks at a frequency higher than zero. Similar behavior has also been observed in a wide range of disordered nanoscale conductive materials, including semiconducting polymers [24] and silicon nanocrystalline films [25,32]. The Drude–Smith model, which phenomenologically includes carrier localization, describes the conductivity with an extension of the Drude model [24,33]: where is the plasma frequency, is the carrier scattering time, and is the backscattering parameter, which describes carrier confinement in a phenomenological manner. For the chalcogenide glass, the localization of carriers is likely to be due to the amorphous structure of the glass matrix, with local regions of partial short-range order. Localization due to formation of STEs could also contribute to the observed localization. However, the simple, phenomenological model applied here does not offer a detailed description of the nature of the confinement.
A fit of Eq. (6) to the experimental data is shown as the solid curves in Fig. 7. The extracted scattering time is and the backscattering parameter is . Considering a thermal velocity , with an effective mass and , the mean free path is and the carrier mobility is estimated as .
The fitting parameters extracted from Drude–Smith model [Eq. (6)] at different pump–probe delays are plotted in Fig. 8.

Figure 8.Temporal development of the carrier dynamics parameters for extracted from the Drude–Smith model fits at different pump–probe delays. (a) Carrier scattering time , (b) backscattering parameter , and (c) carrier density. The shaded areas indicate the time at which the probe pulse arrives before the pump pulse, with poorly defined fit parameters.
The scattering time slowly decreases from 18 to 12 fs; correspondingly, the mean free path decreases from 2.9 to 2.1 nm. The parameter decreases significantly from to . Thus, after injection, we see an indication that carriers become more localized within the first picosecond. The peak carrier density at probe delay is , which by comparison to the photon flux gives a pump photon flux gives a very low photon to carrier conversion efficiency of 0.09%. While a direct interpretation of the parameters extracted from the Drude–Smith fit is difficult, we conclude that the onset of localization is visible in the time-resolved photoconductivity spectra, which is consistent with the rate equation model developed to interpret to kinetics of the photoconductivity decay.
6. CONCLUSION
In summary, we have investigated the static dielectric properties and the transient photoconductive properties of the tellurium-rich semiconducting chalcogenide glass . We have applied broadband transmission THz-TDS for linear characterization of the dielectric properties in the 1.6–18 THz range, and reflection TRTS for the characterization of the temporal and spectral dynamics of the photoinduced conductivity after excitation above the bandgap with femtosecond laser pulses at 800 nm. The kinetics of the conductivity is well described by a rate equation model that includes a finite density of trapping centers for STEs, and we find that the conductivity of these bound states must be included in the modeling of the response in order to find agreement with experiment.
The spectrally resolved conductivity dynamics was measured with 100 fs time resolution, allowing additional insight into the carrier dynamics. The transient conductivity spectra show localization of the carriers within 1 ps after photoexcitation, consistent with the assumptions of the simple kinetic model.
The presented model offers new values for certain critical parameters, such as the time constants of the trapping processes, the electron–phonon scattering time of the free carriers, and localization of the carriers. However, the good agreement between the presented model and the experimental data relies partially on specific values of certain critical parameters, such as the effective mass and capture rates, which are based on estimates from different material systems. It is therefore highly relevant to continue the exploration of the conductivity dynamics of this class of chalcogenide soft glasses, together with exploration of their nonlinear properties in the THz region.
ACKNOWLEDGMENT
Acknowledgment. T. W. and P. U. J. acknowledge financial support from the Danish Research Council for Independent Research (FNU Project THz-BREW).