Inkjet printing for electroluminescent devices: emissive materials, film formation, and display prototypes

Luhua LAN, Jianhua ZOU, Congbiao JIANG, Benchang LIU, Lei WANG, Junbiao PENG

Front. Optoelectron. ›› 2017, Vol. 10 ›› Issue (4) : 329-352.

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Front. Optoelectron. ›› 2017, Vol. 10 ›› Issue (4) : 329-352. DOI: 10.1007/s12200-017-0765-x
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Inkjet printing for electroluminescent devices: emissive materials, film formation, and display prototypes

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Abstract

Inkjet printing (IJP) is a versatile technique for realizing high-accuracy patterns in a cost-effective manner. It is considered to be one of the most promising candidates to replace the expensive thermal evaporation technique, which is hindered by the difficulty of fabricating low-cost, large electroluminescent devices, such as organic light-emitting diodes (OLEDs) and quantum dot light-emitting diodes (QLEDs). In this invited review, we first introduce the recent progress of some printable emissive materials, including polymers, small molecules, and inorganic colloidal quantum dot emitters in OLEDs and QLEDs. Subsequently, we focus on the key factors that influence film formation. By exploring stable ink formulation, selecting print parameters, and implementing droplet deposition control, a uniform film can be obtained, which in turn improves the device performance. Finally, a series of impressive inkjet-printed OLEDs and QLEDs prototype display panels are summarized, suggesting a promising future for IJP in the fabrication of large and high-resolution flat panel displays.

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inkjet printing (IJP) / inks system / film formation / organic light-emitting diodes (OLEDs) / quantum dot light-emitting diodes (QLEDs)

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Luhua LAN, Jianhua ZOU, Congbiao JIANG, Benchang LIU, Lei WANG, Junbiao PENG. Inkjet printing for electroluminescent devices: emissive materials, film formation, and display prototypes. Front. Optoelectron., 2017, 10(4): 329‒352 https://doi.org/10.1007/s12200-017-0765-x

Introduction

In recent years, quantum-dot (QD) based optoelectronic devices, like QD-lasers and quantum-dot semiconductor optical amplifier (QD-SOAs), have directed the attention of many researchers. Both theoretical and experimental studies have demonstrated unique feature of these devices for use in all optical signal processing and optical communication systems. Ultra-fast gain response [14], low noise figure [5], high saturation power [6], ultra-wide gain bandwidth [7,8], high temperature stability [9], and capability of operation at terabit per second speeds in presence of a control signal [10], are the most important features of QD-SOAs.
The inhomogeneous broadening of the gain spectrum is a result of the fluctuations in the size of self-assembled QDs, which leads to a large gain bandwidth for QD-SOAs [11]. However, with increasing the inhomogeneous broadening, the modal gain at all wavelengths in the gain bandwidth decreases [12]. Also, since the light–dot interaction occurs over a finite time period, the gain is homogeneously broadened. Thus, the inhomogeneously broadened gain spectrum consists of groups of homogeneously broadened subgroups of QDs of different size and consequently different transition energies [11]. Homogeneous broadening of the optical gain makes the static and dynamic characteristics of QD-SOAs dependent on the ambient temperature and physical parameters of semiconductor QDs. Because of the importance of this subject, the objective in this paper is to find out the improvements which can be obtained through reduction or increase of the homogeneous and inhomogeneous broadenings. For this purpose, using the state space model of QD-SOAs, we evaluate the static and dynamic responses of a typical QD-SOA under different values of the homogeneous and inhomogeneous broadenings. Then the simulation results are analyzed in details.

State space model of QD-SOAs

The device is an InAs/GaAs QD-SOA, which operates around 1.3 μm. A 10-fold stacked QD active region is sandwiched between two AlGaAs cladding layers. InAs QDs in each layer are grown by the Stranski-Krastanow growth mode and are covered with a 5-nm-thick InGaAs capping layer. Also, QD layers are separated by 33-nm-thick p-doped GaAs spacer layers [4]. Since QDs are grown self-assembly, they have slightly different properties induced by the size fluctuations. It is assumed that QDs have a Gaussian size distribution and consist of 181 spectral groups, where all QDs in each group are identical and energy separation between two adjacent groups is ΔE = 1 meV. The energy band diagram of a QD group is illustrated in Fig. 1, where the relative energy positions of the most probable group are designated in the figure. As can be seen in the figure, each QD group has three energy levels in the conduction band (CB) and three energy levels in the valence band (VB). To model the effect of the carrier reservoir, a many-fold degenerate quantum well (QW) state is considered in the band diagram. To evaluate the dynamics of carriers and photons in QD-SOA cavity, a state space model for the QD-SOA is developed. The state space model of the QD-SOA is based on rate equation model, which was proposed by Kim et al. [4,12]. The essence of the state space model of the QD-SOA can be summarized as follows [13]. Since, the photon density along the QD-SOA cavity is a function of distance and time, the carrier density is also a function of distance and time. However, it is shown that the optical gain of the QD-SOA is weakly dependent on the distribution of the carriers along the cavity [14]. Thus, we can assume that the carrier density along the QD-SOA cavity is completely uniform and does not have any variation. This assumption enables us to derive the state space model for the QD-SOA, where the average values of carrier occupation probabilities are the state variables of the system.
Fig.1 Energy band diagram of QD group. Relative energies of 91-th QD group are indicated in the figure. QW: quantum well, ES: excited state, GS: ground state

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Self-assembled QDs have three energy states in the CB and three energy states in the VB, which are known as the GS, the ES, and the US. Thus, the carrier dynamics in each QD group is described by six state variables. So, the QD ensemble can be described by 1086 state variables (6 × 181). Considering the QW state in the CB and VB, the QD-SOA can be described by a nonlinear state space model with 1088 state variables. Based on the rate equation model presented in Refs. [4,12], the state update equations of the QD-SOA read as follows.
dfwc(v)dt=JAqNWc(v)-fwcfwvτ^wrc(v)+Duc(v)Dwc(v)j=12M+1Gjc(v)(fu,jc(v)τ^uw,jc(v)(1-fwc(v))-fwc(v)τ^wuc(v)(1-fu,jc(v))),
dfu,jc(v)dt=fwc(v)τ^wuc(v)(1-fu,jc(v))-fu,jc(v)τ^uw,jc(v)(1-fwc(v))+Dec(v)Duc(v)(fe,jc(v)τ^euc(v)(1-fu,jc(v))-fu,jc(v)τ^uec(v)(1-fe,jc(v)))+Dgc(v)Duc(v)(fg,jc(v)τ^guc(v)(1-fu,jc(v))-fu,jc(v)τ^ugc(v)(1-fg,jc(v)))-fu,jcfu,jvτ^urc(v),
dfe,jc(v)dt=fu,jc(v)τ^uec(v)(1-fe,jc(v))-fe,jc(v)τ^euc(v)(1-fu,jc(v))+Dgc(v)Dec(v)(fg,jc(v)τ^gec(v)(1-fe,jc(v))-fe,jc(v)τ^egc(v)(1-fg,jc(v)))-fe,jcfe,jvτ^dr-ΓNE,jc(v)kPk,ingjke[e([Γg(t,ωk)-αi]Lca)-1]Ek[Γg(t,ωk)-αi](fe,jc+fe,jv-1),
dfg,jc(v)dt=fu,jc(v)τ^ugc(v)(1-fg,jc(v))-fg,jc(v)τ^guc(v)(1-fu,jc(v))+fe,jc(v)τ^egc(v)(1-fg,jc(v))-fg,jc(v)τ^gec(1-fe,jc(v))-fg,jcfg,jvτ^dr-ΓNG,jc(v)kPk,ingjkg[e([Γg(t,ωk)-αi]Lca)-1]Ek[Γg(t,ωk)-αi](fg,jc+fg,jv-1).
In Eqs. (1a)–(1d), fg,jc(v), fe,jc(v), fu,jc(v), and fwc(v) are the state variables of the system. For instant, fg,jc(v) signifies the state variable associated to the GS of the j-th QD group in the conduction (valence) band. In the following, the parameters of the state space model are described in details.
In Eq. (1a), the term I=JA is the injected current, where J is the injection current density, q is the electron charge. A=WLca is the area of the active region, where W and Lca are the width and length of the active region, respectively. The maximum allowable carrier numbers in the QW state is given by [15]
NWc(v)=NQDDwc(v).
The maximum allowable carrier numbers at the j-th group of the GS, the ES, and the US are respectively given by [12]
NG,jc(v)=NQDDgc(v)Gjc(v),
NE,jc(v)=NQDDec(v)Gjc(v),
NU,jc(v)=NQDDuc(v)Gjc(v).
In Eqs. (2) and (3), NQD=lDnDA is the total number of QDs, where nD is the QD surface density and lD is the number of QD layers. Dgc(v), Dec(v), Duc(v) and Dwc(v) are respectively the degeneracy (including the spin) of the GS, the ES, the US and the QW state in the conduction (valence) band. In Eq. (1a), the term Gjc(v) is the fraction of the j-th QD group among the inhomogeneously broadened electron (hole) states. The inhomogeneous broadening for the GS, the ES, and the US are given by the following Gaussian line shape functions [12]:
Gjc(v)=12πσin,c(v)2exp[-(Eg,jc(v)-Eg,maxc(v))22σin,c(v)2]×rc(v)ΔE,
where
Eg(e,u),jc=Eg(e,u),maxc+[j-(M+1)]×rcΔE,
Eg(e,u),jv=Eg(e,u),maxv-[j-(M+1)]×rvΔE.
The term σin,c(v)=Γihc(v)/2.356 is the variance of the inhomogeneous QD electron (hole) distribution, where Γihc(v) represents the FWHM of the inhomogeneously broadened electron (hole) states. The terms Eg(e,u),jc and Eg(e,u),jv are the confined GS (ES, US) energy of the j-th QD group for electrons and holes, respectively. Also, the terms Eg(e,u),maxc and Eg(e,u),maxv are the relative energy positions of the electron and hole states in the most probable QD group (91-th QD group). In Eqs. (1c) and (1d), Pk,in and Ek=ωk are the input optical power and the energy of the k-th photon mode, and the term G is the optical confinement factor. In Eqs. (1c) and (1d), the linear material gain at frequency ωk is given by [16]
g(t,ωk)==g,ej=12M+1gjk(ωk)[f,jc+f,jv-1],
where the linear optical gain that the GS (ES) of the j-th QD group gives to the k-th photon mode is expressed as [12]
gjkg(e)(ωk)=πq2NDDg(e)cnrϵ0m02Ek|Menv|2|e^.pcv|2Ljg(e)Gjs.
The term Ljg(e) is the homogeneous broadening function with a Lorentzian shape
Ljg(e)=1πΓh/2(Eg(e),js-Ek)2+(Γh/2)2.
The Lorentzian lineshape is arisen from exponential time dependence of the decay of the polarization. The term Gjs is the fraction of the radiative recombination of the j-th QD group
Gjs=12πσin,s2exp[-(Eg,js-Eg,maxs)22σin,s2]ΔE,
where the optical transition energy of the j-th QD group is given by [12]
Eg(e),js=Eg(e),jc-Eg(e),jv.
In Eq. (5b), the term |e^.pcv|2is the bulk momentum matrix element. |e^.pcv|2=(m0/6)Ep, where m0 is the free electron mass and Ep represents the optical matrix energy parameter. The term |Menv|2 represents the envelope function overlap between the QD electron and hole states, c is the speed of light in free space, ϵ0 is the vacuum permittivity, nr is the refractive index of the material, is reduced Planck constant, ND is the volume density of self-assembled QDs which is related to the surface density via ND=nD/LH [17], where LH is the height of one QD layer, and the volume of the active region is given by Vd=lDALH. The time constants in the state space model read as follows. The effective value of electron (hole) relaxation lifetime from the InGaAs QW to the US (τ^wuc(v)), from the US to the ES (τ^uec(v)), from the US to the GS (τ^ugc(v)), and from the ES to the GS (τ^egc(v)). The relation between relaxation and excitation lifetimes is dictated by the principle of detailed balance [4]:
τ^ge(gu,eu)c=τ^eg(ug,ue)cexp(ΔEeg(ug,ue)ckBT),
τ^ge(gu,eu)v=fDτ^eg(ug,ue)vexp(ΔEeg(ug,ue)vkBT),
where kB is the Boltzmann’s constant, T is the absolute temperature. The term fD represents the doping factor which models the enhanced hole concentration in p-doped QDs, the terms ΔEegc(v), ΔEugc(v) and ΔEuec(v) respectively represent the energy separation between the GS and the ES in the conduction (valence) band, between the GS and the US, and between the ES and the US.
ΔEegc(v)=|Eg,maxc(v)-Ee,maxc(v)|,
ΔEugc(v)=|Eg,maxc(v)-Eu,maxc(v)|,
ΔEuec(v)=|Ee,maxc(v)-Eu,maxc(v)|.
Similarly
τ^uw,jc=τ^wucexp(ΔEwu,jckBT),
τ^uw,jv=fDτ^wuvexp(ΔEwu,jvkBT),
where the term ΔEwu,jc(v)=|EQWc(v)-Eu,jc(v)| is the energy separation between the ES of the j-th QD group and the QW state. The simulation parameters can be found in Table 1, unless otherwise specified [4,12,17].
Tab.1 Parameters used in numerical simulations
symbolvaluesymbolvalue
Lca2 mmEp22.2 /eV
W4 μmΓihc(v)40(10) meV
A8 × 10-5 cm2Γih50 meV
LH5 nmΓh10 meV
lD10Γ0.025
αi5 cm-1τ^egc(v)0.5(0.075) ps
T300 Kτ^ugc(v)0.33(0.022) ps
nD5 × 1010 cm-2τ^uec(v)0.66(0.043) ps
Dgc,v2τ^wuc(v)1.8(0.078) ps
Dec,v4τ^dr1 ns
Duc(v)10(20)τ^wrc(v)0.14(0.28) ns
Dwc(v)100(200)τ^urc(v)0.71(1.42) ns
|Menv|20.88rc(v)0.8(0.2)
|e^.pcv|23.37 × 10-30 kg·eV2M+1181
fD6nr3.51
ND1023 m-3Vd4 × 10-10 cm3

Effects of homogeneous broadening on static and dynamic responses of QD-SOAs

Both theoretical and experimental studies have proven that the gain spectrum about the discrete energy levels of QDs is homogeneously broadened. This broadening is arisen from the fact that the interaction between light and QDs occurs over a finite period of time [18]. The homogeneous linewidth depends on variety factors, such as the temperature of the active region, the injection current density, the doping density, and the size distribution of QDs [18,19]. Homogeneous linewidth may be increased through increasing the injection current density or use of p-doped QDs in the spacer layer. Also, it decreases with decreasing the temperature. The temperature dependency of the homogeneous broadening is determined by considering the contributions of the acoustic phonons, the optical phonons as well as the zero-temperature lattice motion to the dephasing time [20]. The full width at half maximum (FWHM) of the homogeneous broadening (homogeneous linewidth) is related to the dephasing time via the relation Γh=2/τh [12], where τh represents the dephasing time which can be described as a function of temperature [20]
τh-1(T)=τ^dr-1+a.T+bexp(Ea/kBT)-1.
Thus, the homogeneous broadening function can be expressed as a function of temperature
Ljg(e)(T)=1πτh-1(T)(Eg(e),js(T)-Ek)2+(τh-1(T))2.
Figure 2 represents the calculated homogeneous linewidth for temperatures between 0 and 400 K. From the figure, we can see that for temperatures beyond 150 K the homogeneous linewidth increase linearly with temperature with slope of 48 meV/K. In Fig. 3(a), Lorentzian homogeneous broadening function plotted as a function of the photon energy for three different homogeneous linewidths. In Figs. 3(b) and 3(c), the term LjgGjs, which is proportional to the modal gain relevant to each QD group, is calculated for different homogeneous linewidths. In these subfigures, only a few numbers of homogeneous broadening functions are plotted. We can see that with increasing the homogeneous broadening, which can be caused by increasing the temperature of the active region due to significant contribution of acoustic phonons to the dephasing processes, the overlap integral between modal gains of different QD groups increases and a strong interaction between QDs occurs. On the other hand, with decreasing temperature and consequently the homogeneous linewidth, the interaction between different QDs decreases and QD groups tend to operate independently.
Fig.2 Temperature dependence of homogeneous linewidth

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Fig.3 (a) Homogenous broadening function calculated for different homogeneous linewidths. The product of homogeneous and inhomogeneous functions (LjgGjs) for different homogeneous linewidths, (b) Γh=1meV, (c) Γh=5meV and (d) Γh=20meV. The inhomogeneous linewidth is Γih=50meV

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To investigate the effect of the homogeneous linewidth on dynamic characteristics of the QD-SOA, in the first step we investigate the carrier capturing into empty QD states. For this purpose, we assume that all QD states are initially empty. At t = 0, the pump source is switched on and a pump current with a density of J = 12 kA/cm2 is injected into the active region of the QD-SOA. Then, at t = 100 ps, a continuous-wave (CW) optical signal corresponding to the GS transition is injected into the active region and the time response of the QD-SOA is monitored. Simulation results are presented in Fig. 4, where the dynamic response of the QD-SOA is evaluated under different values for the homogeneous broadening. As can be seen in Fig. 4, the GS steady-state is reached after 40 ps in all three plots. Also, as seen in the figure, the spectral width of the gain spectrum is decreased with decreasing the magnitude of the homogeneous broadening. However, since this reduction is not significant, we can say that the homogeneous broadening does not have a significant effect on the gain bandwidth. On the contrary, the modal gain is strongly dependent on the homogeneous broadening, where we can see that the gain peak can be greatly enhanced through decreasing the homogeneous linewidth. For instant, it can be seen form the figure that the GS and ES gain peaks will be reduced to half with increasing the homogeneous linewidth from 1 to 20 meV. Entering the CW signal into the active region at t = 100 ps leaves a spectral hole in the gain spectra, which is attributed to the carrier depletion around the resonant energy. The width of this spectral hole relates to the carrier–carrier scattering via homogeneous broadening and is deeper and narrower for smaller homogeneous linewidths [21]. As a result, the gain compression increase with decreasing the homogeneous broadenings, but the spectral width of the gain spectrum and the carrier capture rates are not significantly affected.
Fig.4 Absorption/gain spectra of QD-SOA under different values of homogeneous linewidth: (a) Gh = 1 meV, (b) Gh = 5 meV, and (c) Gh = 20 meV. (Injection current density: J = 12 kA/cm2, inhomogeneous broadening : Gih = 50 meV). At t = 100 ps, a CW optical signal corresponding to the GS transition is injected into the active region. Simulations are terminated at Ts = 200 ps, and the time interval between consecutive plots in the time axes is 6 ps

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To study the effect of the homogeneous linewidth on the gain response of QD-SOAs, we numerically perform a single pulse pump-probe experiment, where we inject a Gaussian shaped optical pulse into the active region and monitor the gain dynamics of the QD-SOA. Simulation results are presented in Fig. 5. The energy of input photons is corresponding to the GS of 91-th QD group. The pulse width and energy of the input pulse are 0.5 ps and 0.75 pJ, respectively. The pulse is injected at t = 3 ps.
Fig.5 Optical gain response of QD-SOA under different values of homogeneous linewidth: (a) Gh = 1 meV; and (b) Gh = 20 meV; (c) percentage of ultra-fast gain compression as function of current density for three different homogeneous linewidths. (Inhomogeneous linewidth:Gih = 50 meV; pulse is injected at t = 3 ps; simulations are terminated at Ts = 15 ps)

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As can be seen in Figs. 5(a) and 5(b), the optical pulse depletes the GS carriers and leads to a reduction in the optical gain. Then, the GS is refilled mainly via the intra-dot relaxation of charge carriers from QD ESs and the gain is recovered within a few picoseconds. A comparison between Figs. 5(a) and 5(b) demonstrates that the optical gain and the gain compression can be greatly enhanced through reducing the homogeneous linewidth. For instant, Fig. 5(c) demonstrates that with decreasing the homogeneous broadening from 20 to 1 meV, the gain compression is increased from 40% to 90%, and the unsaturated optical gain is approximately tripled (it is increased from 9 to 14 dB). This behavior can be explained as follows. The QD-SOA contains many QD groups. However, some groups in the ensemble can contribute to amplification of the injected optical pulse. During the amplification of an optical pulse, a fraction of QD groups, where their transitions are in resonance with the pulse wavelength, interactes with propagating photons and will be strongly depleted. Once the magnitude of the homogeneous broadening decreases, the number of QD groups that contribute to the amplification of the input pulse decreases. As a result, a pronounced hole burning occurs at the energy of the input photons and the gain compression becomes significant. On the contrary, since in a gain media with a high homogeneous broadening a larger number of QD groups participate to the amplification process, the gain compression becomes smaller. Comparison between Figs. 5(a) and 5(b) also reveals that the ultrafast gain recovery time is approximately independent of magnitude of the homogeneous broadening. This is due to the fact that the ultrafast gain recovery is determined mainly by the carrier–carrier scattering processes, which are mainly determined by the injection current density.
Another important result of Fig. 5 is that the strength of the gain saturation is dependent on both homogeneous linewidth as well as injection current density. At relatively low current densities, i.e., J = 2 kA/cm2, injection of the optical pulse leads to depletion of higher energy states that work as a carrier reservoir for the GS. Consequently, a wide-ranging saturation is occurred in the gain spectra. On the other hand, at high current densities, i.e., J = 6 kA/cm2 and J = 12 kA/cm2, injection of the optical pulse leads to depletion of the GS of QDs that are in resonance with the pulse wavelength and consequently a narrow-band saturation is occurred in the gain spectra (see Fig. 4). This is due to the fact that at high current densities, the higher energy states fill up quicker. Therefore, the gain compression decreases as the applied current or the homogeneous linewidth increase. Since the occupation of higher states is relatively unchanged at high current densities, spectral hole burning (SHB) will be the dominant gain saturation mechanism. Figure 5(c) represents the percentage gain compression as a function of the injection current density for different homogeneous linewidths. As seen in the figure, the gain compression reduces with increasing the injection current density. However, for smaller values of the homogeneous broadenings, this reduction is negligible. In other words, the gain compression is independent of the injected current if the homogeneous broadening is approximately less than 2 meV. This is due to the fact that the role of SHB as the gain saturation mechanism is more pronounced for smaller homogeneous broadenings. This result is important for nonlinear signal processing applications, where we need to reduce the injection current density and consequently the power losses.
Fig.6 Gain saturation curves of QD-SOA under different values of homogeneous linewidth (Gh = 1, 5, 10, 20 meV) and different current densities (J = 2, 6 kA/cm2). Iinhomogeneous linewidth is Gih = 50 meV in all curves

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To investigate the effect of homogeneous linewidth on the saturation power of the QD-SOA, the gain versus input power curves of the device for different homogeneous linewidths are plotted jointly in Fig. 6. It can be seen from the figure that the unsaturated optical gain of the QD-SOA increases with decreasing the homogeneous, while the saturation power of the amplifier decreases. For instant, with decreasing the homogeneous broadening from 20 to 1 meV, the saturation power becomes two times less. This is due to the fact that the numbers of QD groups participating to the amplification of the input signal decreases with decreasing the homogeneous linewidth. Consequently, a pronounced hole burning occurs at the energy of the input photons and saturation occurs for lower input powers. Therefore, for applications that a high saturation power is required, like booster amplifiers, the homogeneous linewidth should be large enough. On the other hand, for applications like nonlinear signal processing, the saturation power should be such that the SHB become the dominant saturation mechanism. Thus, a QD-SOA working at low temperature or having an undoped active region with well-confined QDs is appropriate for nonlinear signal processing applications [19].

Effects of inhomogeneous broadening on static and dynamic responses of QD-SOAs

Because of fluctuations in the size of self-assembled QDs and some variations in the shape of dots, the photoluminescence spectra of self-assembled QD-based active regions are inhomogeneously broadened. Experimental measurements have shown that the inhomogeneous linewidth of self-assembled InAs QDs is usually varied from 30 to 70 meV [22]. It has been proven that the inhomogeneous broadening affects the gain bandwidth as well as the gain and phase responses of QD-SOAs [12]. In this section, we investigate the effects of the inhomogeneous broadening on both static and dynamic characteristics of QD-SOAs. In Fig. 7(a), three inhomogeneous broadening functions and some homogenous broadening functions are presented. One can see that the number of QDs in each QD spectral group is dependent on the inhomogeneous lineshape. If the fluctuation in the size of QDs increases, the inhomogeneous linewidth increases, and vice versa. As can be seen in Figs. 7(b)–7(d), the gain spectrum of the QD ensemble is a function of both homogeneous and inhomogeneous broadening functions. The term LjgGjs in Figs. 7(b)–7(d) is the product of the homogeneous and inhomogeneous broadening functions, which is proportional to the modal gain relevant to each QD group, is calculated for different inhomogeneous linewidths. We can see that with increasing the inhomogeneous broadening, the number of QD groups that participate to pulse amplification increases and the gain bandwidth increases. However, the modal gain per wavelength decreases as well.
Fig.7 (a) Homogenous and inhomogeneous broadening functions. The product of homogeneous and inhomogeneous functions (LjgGjs) for different inhomogeneous linewidths, (b)Γih=25meV; (c)Γih=50meV; and (d)Γih=75meV. Homogeneous linewidth is Γh=10meVin all figures

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To investigate the effect of the inhomogeneous broadening on dynamic response of QD-SOAs, similar to what we did in the previous section, we evaluate the response of the QD-SOA under different inhomogeneous linewidths. Simulation results are presented in Fig. 8, where the gain response of the QD-SOA is simulated under three different inhomogeneous linewidths. As can be seen in the figure, in all subfigures the GS steady-state is reached approximately after 40 ps. This time is similar to what we observed in Fig. 4. Also, as seen in the figure, the gain bandwidth is significantly reduced with decreasing the inhomogeneous broadening. Furthermore, the modal gain may be significantly enhanced through reducing the inhomogeneous linewidth. Figure 8 shows that with decreasing the inhomogeneous broadening from 75 to 25 meV, the maximum modal gain is doubled. In conclusion, while increasing the inhomogeneous linewidth increase the spectral width of the gain spectrum, a decrease in the modal gain in all range of the gain spectrum will be observed.
Fig.8 Absorption/gain spectra of QD-SOA under three different inhomogeneous linewidths (a) Gih = 25 meV; (b) Gih = 50 meV; (c) Gih = 75 meV. Pump current density is J = 12 kA/cm2, and homogeneous broadening is Gh = 10 meV. At t = 100 ps, CW optical signal with photons energy corresponding to GS transition is injected into QD-SOA. Simulations are terminated at Ts = 200 ps, and the time interval between consecutive plots in the time axis is 6 ps

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To investigate the effects of inhomogeneous broadening on the gain response of QD-SOAs, we numerically perform a single pulse pump-probe experiment, where a Gaussian shaped pulse is injected into the active region of the device. Simulation results are presented in Fig. 9. As can be seen in the figure, the optical gain is significantly enhanced for smaller inhomogeneous linewidths. Also, the gain compression increases as well. This behavior can be explained as follows. Once the magnitude of the inhomogeneous broadenings is small, a huge number of the QDs contribute to the amplification of the input pulse. As a result, the optical gain of the QD-SOA increases and at the same time a strong hole burning occurs at the energy of the input photons.
Fig.9 Gain response of QD-SOA under different values of inhomogeneous linewidth and current density, (a) Gih = 25 meV; and (b) Gih = 75 meV; (c) percentage of ultra-fast gain compression as function of current density for different inhomogeneous linewidths. Homogeneous linewidth is Gh = 10 meV. Optical pulse is injected at t = 3 ps and simulations are terminated at Ts = 15 ps

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A comparison between Figs. 9(a) and 9(b) reveals that the gain recovery time is approximately independent of the inhomogeneous linewidth. This is due to the fact that the ultrafast gain recovery is determined mainly by the carrier–carrier scattering processes which are functions of the injection current density. In addition, as seen from Fig. 9(c), the gain compression is increased from less than 50% for Γih=75meV to more the 90% for Γih=25meV. This is due to enhancement of modal gain, which leads to a stronger carrier depletion and consequently a higher compression. The effect of inhomogeneous linewidth on the unsaturated optical gain as well as the saturation power can be seen in Fig. 10, where the gain saturation curves of the QD-SOA are plotted jointly for different values of the inhomogeneous linewidth. It can be seen from the figure that the unsaturated optical gain of the QD-SOA increases with decreasing the inhomogeneous linewidth. For instant, with decreasing the inhomogeneous broadening from 50 to 25 meV, the saturation power becomes three times less. Also, the saturation power of the amplifier decreases as well. This result is similar to what we obtained in Fig. 6. Thus, both homogeneous and inhomogeneous broadenings have almost parallel effects on the operation of QD-SOAs. Based on these results, for linear amplification purposes, the inhomogeneous linewidth should be large enough. Conversely, for optical processing purposes, the inhomogeneous linewidth should be as small as possible.
Fig.10 Gain saturation curves of QD-SOA under different values of inhomogeneous broadening (Gih = 25, 50, 75 meV) and different current densities (J = 2, 6, and 12 kA/cm2). In all curves, the homogeneous linewidth is Gh = 10 meV

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Conclusions

In this paper, the effects of homogeneous and inhomogeneous broadenings on the static and dynamic response of QD-SOAs were investigated. Simulation results showed that with decreasing the homogeneous broadening from 20 to 1 meV, the gain compression is increases from 40% to 90%, the unsaturated optical gain becomes approximately tripled, and the saturation power becomes two times less. Also, simulation results showed that with decreasing the inhomogeneous broadening from 50 to 25 meV, the gain compression increases from less than 50% to more than 90%, the unsaturated optical gain becomes approximately 10-fold, and the saturation power becomes three times less. We found out that the magnitude of the homogeneous and inhomogeneous linewidths should be optimized depends on the application of QD-SOAs. For nonlinear application, the homogeneous and inhomogeneous linewidths should be small enough to represent a strong nonlinearity. On the other hand, for linear amplification where a large saturation power is required, it is preferred to increase the homogeneous linewidth. The results of this paper are helpful for optimal design and fabrication of QD-SOAs for future all-optical networks.

Luhua Lan received his B.S. degree in Information Display and Opto-Electronic technology from South China University of Technology, Guangzhou, China, in 2016. He is currently working toward his M.S. degree in Materials Physics and Chemistry in South China University of Technology, Guangzhou, China. His current research interests include interface optimization of OLEDs and QLEDs fabricated by solotion processing.

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Jianhua Zou is currently an Associate Research Fellow (2013) in the School of Material Science and Engineering at South China University of Technology (SCUT).He received his Bachelors degree in Materials Physics from North East University (China) in 2005, and his Ph.D. degree from the Physics Department at SCUT in 2010. His current research interests is device physics in organic electronics, including OLEDs and QLED. He has also published more than 50 papers on high-impact journals in these topics.

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Congbiao Jiang received his B.S. degree in Material Physics from Wuhan University of Science and Technology, Wuhan, China, in 2014. He is currently working toward his Ph.D. degree in Materials Physics and Chemistry in South China University of Technology, Guangzhou, China. His current research interests include photoelectric materials, technique optimization on inkjet printed electroluminescent decives and physics of device.

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Lei Wang received his B.S. degree in the department of Polymer Materials Science and Engineering from Hebei University of Technology in 2004, and his Ph.D. degree in Materials Physics from South China University of Technology (SCUT) in 2009. He is currently an Associate Research Fellow (2011) in the SCUT. His research interests include organic and inorganic semiconductor materials, devices and their process development, and he has done a large number of scientific research work in the field of OLED and metal oxide TFT.

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Junbiao Peng received his B.S. degree in Physics at Jilin University in 1984 and M.S. and Ph.D. degrees respectively in 1987 and 1993 in Changchun Institute of Physics (CIP), Chinese Academy of Sciences. In the subsequent years, he did his postdoc work in the Korea Institute of Science and Technology and the National Institute of Materials and Chemical Research (NIMC), Japan. In 2001, he joined the Institute of Polymer Optoelectronic Materials and Devices, South China University of Technology, as a full professor. His current research interests include design, characterization, and application of organic optoelectronic devices such as OLEDs, OPVs and TFTs.

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Acknowledgements

This work was supported by the National Key Basic Research and Development Program of China (Nos. 2015CB655004, 2016YFB0401005, and 2016YFF0203603), the National Natural Science Foundation of China (Grant Nos. 21673082, U1601651, and U1301243), Guangdong Science and Technology Plan (No. 2017B090901055), the Pearl River S&T Nova Program of Guangzhou (Nos. 201710010066, and 201610010052), the Fundamental Research Funds for the Central Universities (Nos. 2017MS008 and 2017ZD001), China Postdoctoral Science Foundation (No. 2017T100627) and the Tiptop Scientific and Technical Innovative Youth Talents of Guangdong Special Support Program (Nos. 2015TQ01C777, and 2016TQ03C331).

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