Research Article  Open Access
A. P. Cédola, D. Kim, A. Tibaldi, M. Tang, A. Khalili, J. Wu, H. Liu, F. Cappelluti, "PhysicsBased Modeling and Experimental Study of SiDoped InAs/GaAs Quantum Dot Solar Cells", International Journal of Photoenergy, vol. 2018, Article ID 7215843, 10 pages, 2018. https://doi.org/10.1155/2018/7215843
PhysicsBased Modeling and Experimental Study of SiDoped InAs/GaAs Quantum Dot Solar Cells
Abstract
This paper presents an experimental and theoretical study on the impact of doping and recombination mechanisms on quantum dot solar cells based on the InAs/GaAs system. Numerical simulations are built on a hybrid approach that includes the quantum features of the charge transfer processes between the nanostructured material and the bulk host material in a classical transport model of the macroscopic continuum. This allows gaining a detailed understanding of the several physical mechanisms affecting the photovoltaic conversion efficiency and provides a quantitatively accurate picture of real devices at a reasonable computational cost. Experimental results demonstrate that QD doping provides a remarkable increase of the solar cell opencircuit voltage, which is explained by the numerical simulations as the result of reduced recombination loss through quantum dots and defects.
1. Introduction
Quantum dots (QDs) are being widely investigated since several years as a promising material for advanced concepts such as multiple junction [1], intermediate band [2, 3], and hot carrier [4] solar cells. The basic building block of such devices is typically made by an almost standard diode structure embedding a region with QDs. Electronic effects and charge transfer mechanisms in the QDs and between the QD localized states and the continuum states of the host semiconductor present quantum mechanical features, while a large part of the device is made by bulk regions working in the semiclassical transport regime. Thus, device level simulation models of QD solar cells inherently require multiscale approaches which shall be able to combine the micro and macroscale description at an affordable computational cost [5].
In the hierarchy of multiscale models for the simulation of QD solar cells (QDSCs), one of the simplest approaches is provided by spatially resolved rate equationbased models, which couple microscopic calculated quantities such as the QD electronic structure, optical properties, and scattering rates to macroscopic equations for transport in the extended states. Several of the QD model parameters can also be extracted from routinary experimental data, making such approach suitable for both design and interpretation purposes. Modelling approaches able to reproduce the behavior of realistic devices and analyze the interplay of the involved physical mechanisms allow gaining insight into experimental results and provide useful feedback to the technology development. In this respect, while detailed balance theory of QDSCs has received a lot of attention and is useful to indicate the longterm target efficiency [6–8], less effort has been devoted to models based on semiconductor transport equations [9–13] and to the implications of QD carrier dynamics on the photovoltaic performances [14]. On the other hand, previous work by some of the present authors has shown that introducing a proper description of interband and intersubband QD dynamics is a crucial asset to address some of the most critical issues encountered in QDSCs, such as poor carrier collection efficiency and degradation of the opencircuit voltage [15, 16].
In this work, we apply the QDaware physicsbased model firstly proposed in [15] to the study of InAs/GaAs QDSC exploiting selective Si doping. QD doping is extensively investigated as an attractive means to control photocarrier dynamics and improve QDSC performance (see, e.g., the recent review in [17] and the references therein). The present work extends the analysis already proposed in [18] on the interplay between doping and recombination processes in QDSCs and provides an experimentalbased validation to the conclusions in [18]. To ensure an accurate description of the cell behavior, the model in [15, 18] has been complemented by an accurate electromagnetic model for carrier photogeneration. In the following, we present the basic ideas of the model, highlighting its thermodynamic consistency and discussing the identification of microscopic parameters from quantum models and experimental characterization, and we show with a real case study the valuable insight into device behavior that can be gained with this simulation approach.
2. Model
QDbased solar cells usually exploit a p − n or p − i − n structure with a region including a periodic stack of QD layers. Figure 1 schematically shows the energy band diagram of an In(Ga)As QD surrounded by GaAs barriers and the carrier transfer processes that are included in the model, as discussed in the following. From the electronic standpoint, the 3D confinement gives rise to a deeply confined energy level, the ground state (GS), one or more excited states (ES), both of them with 0D density of states, and a quasitwodimensional (2D) energy state associated with the wetting layer (WL) [19]. At device level, the WL subband is described as a 0D level with high degeneracy factor, accounting for the 2D density of states of the WL and the weakly confined excited states.
We assume negligible coupling between the QD layers; thus, the exchange of carriers between localized states in different layers is always mediated by the barrier extended states. Under such hypothesis, the QDSC operation is as follows: electrons and holes are photogenerated in the barrier and QD states by above and belowgap photons, respectively. Charge transfer between continuum and bound states is characterized by capture and escape processes through the WL level. In the barrier, carriers move by driftdiffusion, and when they arrive within the interaction range of the QD region (a few nanometers), they can be either emitted through the QD layer or captured in the QD states. Dually, confined carriers may escape from the QD states through thermal emission to the WL and from the WL to the barrier. Only thermal escape is considered in this work, because in the QDs under study, at room temperature, photonassisted escape is negligible [20]; moreover, due to the shallow confinement, thermal emission is so efficient that the inclusion of an electric fieldassisted mechanism does not provide any significant change to the overall picture. In [15], a good correlation between simulated and measured opencircuit voltage of cells with QD ground state emission between 1000 nm and 1300 nm has been demonstrated. On the other hand, deeper QDs may be significantly affected by fieldassisted tunneling. Thus, the model formulation described in the following shall be applied only to the study of relatively shallow QDs at room temperature, hereinafter referred as thermally limited operation.
The electrical problem is formulated in terms of electrostatics and free carrier continuity equations, accounting for charge localization due to the QDs and charge transfer mechanisms between barrier and bound states. At the QD layer, Poisson’s equation and electron continuity equation (for the sake of brevity, we omit hole equations) read as where ϕ is the electrostatic potential, n and p are the electron and hole densities, respectively, in the barrier, n_{γ} and p_{γ} are the electron and hole densities, respectively, in the QD state γ, and and are the ionized donor and acceptor density, respectively. In the continuity equation, J_{n} is the electron driftdiffusion current density, U_{B} the net recombination rate, G_{B} the bandtoband photogeneration rate, and U_{n,CAP} the WLmediated net capture rate from the barrier into the QD states, that is, the difference between the capture rate from barrier to WL and the escape rate from WL to barrier. U_{B} includes both radiative and nonradiative processes. Radiative recombination is modeled as B_{op} being the GaAs spontaneous emission coefficient and n_{i} the thermal equilibrium carrier density. Nonradiative recombination follows the ShockleyReadHall theory where τ_{n(p)} is the SRH recombination lifetime and n_{1} and p_{1} are the electron and hole densities, respectively, when Fermi level corresponds to the trap energy level, here assumed at midgap.
Capture and cascaded relaxation processes are described by a set of rate equations establishing a detailed balance, for each QD level, among all the interband and intersubband charge transfer mechanisms. At each QD layer, the rate equation describing the electron population in the subband γ reads as where U_{γ} ≈ f_{n,γ}f_{p,γ}/τ_{r,γ} and G_{γ} are the net interband radiative recombination and photogeneration rates of the γ subband state (γ = WL, ES, GS), respectively. For the sake of simplicity, we consider only the radiative transitions associated to electron and hole states in the same subband. A radiative lifetime of 1 ns is assumed for all the QD states. The term is the net capture rate from the intersubband state k to the l one. Note that capture and relaxation processes are allowed to exist only between adjacent energy levels; thus, for γ = WL, γ + 1 state indicates the barrier, whereas for γ = GS the terms involving γ − 1 must be ignored. To make the formulation treatable, we assume in the following MaxwellBoltzmann statistics for the continuum states and FermiDirac statistics for the QD states. Moreover, we neglect QD inhomogeneous broadening; thus, the QD density of states is a Dirac delta function.
The capture or relaxation process of an electron from state γ to state γ − 1 can be formulated as where c is the scattering rate (cm^{3}·s^{−1}) of the transition and N_{k} is the effective density of states in the k band, with distribution function f_{k}. The reverse escape process reads as where the last term is derived taking advantage of the following identity, which holds regardless of the specific statistics, Boltzmann or Fermi [21],
In (6), E_{k} and are the energy of the k state and the quasiFermi level of the corresponding electron population, respectively. For barrier electrons, obviously, E_{k} coincides with the minimum of the conduction band. The detailed balance at thermal equilibrium imposes yielding the net capture rate U_{n,CAP} = R_{CAP} − R_{ESC}n_{k} = N_{k}f_{k} being the free electron density in the k state and . Equation 9 highlights the correlation between the onsets of capture (U_{n,CAP} > 0) or escape (U_{n,CAP} < 0) and the nonequilibrium condition between electron populations in the states E_{γ} and E_{γ−1}.
The above formulation can be generalized so as to include the detailed energy dependence of the density of states of the different subbands (e.g., to include a more physical description of the QD states and WL states), FermiDirac statistics in the continuum bands, as well as the energy dependence of the microscopic scattering matrix element M^{γ,γ − 1} describing the interaction between the two states [21]:
Introducing the energy averaged scattering element , averaged over the entire ensemble of possible initial and final states, and after some analytical manipulation, one derives an expression of U_{n,CAP} completely analogous to 8, with .
Capture and relaxation in selfassembled In(Ga)As/GaAs QDs happen through complicated dynamics involving emission of longitudinal optical (LO) phonon emission, polaron (electronphonon coupling) decay, defectmediated relaxation, carriercarrier scattering, and so forth (see, e.g., [22–24] and the references therein). The scattering time τ_{cap} derived from quantum models is typically a function of the carrier density in the WL and QD states, which in turn depends on injection/photogeneration of carriers according to the cell operating conditions and on design parameters such as doping. At low carrier density, electronLOphonon interaction and Auger electronhole scattering act as very efficient relaxation channels, providing relaxation times on the scale of tenths of ps to tens of ps [22, 23, 25]. At high carrier density, carriercarrier scattering may become significant, yielding again relaxation times on the ps scale [24]. In particular, for ndoped (pdoped) QD hole (electron), the population is extremely low; thus, electronhole scattering is negligible and relaxation occurs through a combination of electronelectron (holehole) scattering and carrierLOphonon relaxation. These predictions are confirmed by several experimental data on undoped and doped samples: in [26], relaxation times from WL to QD ground state were found to be 2, 3, and 6 ps for pdoped, ndoped, and undoped samples, respectively. Further experimental data of similar sign are summarized in [23]. Overall, theoretical and experimental results on In(Ga)As/GaAs QDs show that net capture/relaxation rates—on a ps scale—are extremely fast with respect to the characteristic QD bandtoband and intraband radiative lifetimes (about 1 ns and 100 ns, resp. [25]), making the QD carrier lifetime largely dominated by the QD radiative lifetime. Moreover, the opencircuit voltage (V_{oc}) penalty in thermally limited QDSCs is dominated by the ratio between carrier lifetime in the barrier and carrier lifetime in QDs [27], the last one being the net result of the competing processes of capture/relaxation/recombination through the QDs—from the one hand—and escape from the QD bound states and electricfielddriven sweep out through the extended states—from the other hand. Thus, at least in In(Ga)As/GaAs QDs and under nonconcentration operation, capture/relaxation times can be reasonably treated as constant parameters, neglecting their carrier density dependence and the possible electricfield dependence due to tunneling mechanisms. In this respect, it may be remarked that the electrical field across the interdot layers plays however an important role in the resulting net capture rate in QDs: at high field, freecarrier transit time is high and the probability of capture from the barrier into the QDs remains low (such situation is representative of the shortcircuit condition, where QD recombination turns to be negligible). In [28], carrier capture from the GaAs barrier was found to be fully quenched in fields of only 15 kV/cm. When the electrical field is significantly screened (e.g., as forward bias approaches the maximum power point and opencircuit voltage), the transit time decreases and the net capture rate in the QDs increases; that is, QDs turn into radiative trap centers (see [15, 16] for a detailed discussion).
In the following simulations, we use empirical data extracted in [15] from the interbandpumpintrabandprobe spectroscopy experiments reported in [29]. To this aim, we assume very fast capture into the WL, which occurs through oneLOphonon interaction on a 0.1 ps time scale, followed by cascaded relaxation of carriers into the ES and GS states. Fitting the timeresolved IR absorption of QDs similar to those in the present work, we estimated electron time constants of about 1 ps [15] for WLES and ESGS relaxation. Due to their large effective mass, holes form closely spaced energy levels, characterized by fast phononmediated capture and relaxation mechanisms, whose time constants are set to 100 fs.
Concerning the photogeneration rates, the simulation calculates the (optical) electric field profile across the multilayer structure, with each material characterized by the complex refractive index (α being the absorption coefficient), exploiting a scattering matrix formalism for coherent multilayers [30]. From the optical electric field profile E_{op}(x), the absorbed photon density (at each wavelength) and the photogeneration rate (assuming unitary quantum yield) are then calculated through the divergence of the Poynting vector, yielding where hν is the photon energy and the electrical conductivity (μ_{0} and c being the vacuum magnetic permeability and light velocity, resp.).
The model numerical implementation is based on the discretization of the electrical equations through the ScharfetterGummel scheme and the selfconsistent solution of the resulting system of nonlinear equations through Newtonbased methods [31].
3. Experimental
All the epitaxial structures were grown using a solidsource molecular beam epitaxy (MBE) on n^{+} GaAs (100) substrates. InAs/GaAs QDSC structures based on those previously demonstrated by Kim et al. [32] were used, as shown in Figure 2. The structures consist of a 200 nm GaAs buffer layer with Si doping density of 1 × 10^{18} cm^{−3}, 30 nm Al_{0.35}Ga_{0.65}As back surface field (BSF) with Si doping density of 1 × 10^{18} cm^{−3}, 1000 nm GaAs base with Si doping density of 1 × 10^{17} cm^{−3}, 250 nm GaAs emitter with Be doping density of 2 × 10^{18} cm^{−3}, 100 nm GaAs emitter with Be doping density of 5 × 10^{18} cm^{−3}, 30 nm Al_{0.75}Ga_{0.25}As window layer with Be doping density of 2 × 10^{18} cm^{−3}, and 50 nm GaAs contact layer with Be doping density of 1 × 10^{19} cm^{−3}. 20 layers of InAs QDs were grown in the intrinsic region of the SCs. The QDs were grown by the StranskiKrastanov mode with the InAs coverage of 2.1 monolayers (ML) at a substrate temperature of ∼500°C. A high growth temperature was used during the growth of the GaAs spacer layers to suppress the formation of dislocations [33–35]. No cap layer was applied between the InAs QDs and the GaAs space layers. Direct Si doping with doping densities of 14 e/dot was applied to the QDs in the Sidoped QDSCs [32]. Whereas the InAs QD layers in all other samples were separated by 20 nm GaAs spacer, the spacer layers in the QDSC with additional spacer layers (R5) were 25 nm each, which gave additional 100 nm in total. For the postgrowth sample cleaning, the SCs were ultrasonicated in acetone and isopropanol for 10 min each at room temperature. To remove the oxide on the surface of the samples, the SCs were immersed in diluted ammonia solution (1 : 19) for 30 s. A AuZn alloy (95% Au, 5% Zn) was deposited in grid patterns to form 200 nm thick ptype electrodes using a metal shadow mask and a thermal evaporator.
The morphology of the QD layers was studied using a Veeco Nanoscope V atomic force microscope (AFM). 532 nm excitation from a diodepumped solidstate laser was used for photoluminescence (PL) measurements. The sample temperature during the PL measurements was controlled using a Hecooled cryostat. Current density versus voltage (J − V) measurements was performed using an LOTcalibrated solar simulator with a xenon lamp under onesun air mass (AM) 1.5 G illumination at 25°C. The devices were connected to a Keithly 2400 sourcemeter via a 4point probe station, and ReRa Tracer 3 software was used to collect the data. Photocurrent measurements were obtained using a Halogen lamp chopped to 188 Hz through a Newport monochromator. A 4point probe connected with a lockin amplifier was used to collect data. The monochromatic beam was then calibrated using a Si photodiode, and the data was analysed with Photor QE 3.1 software to produce the external quantum efficiency (EQE).
4. Results and Discussion
An overview of the photovoltaic characteristics of the undoped and Sidoped QD solar cells and of an undoped reference cell (same geometry and doping but without the inclusion of QDs) is presented in Figure 3 and Table 1. The target performances for the REF cell were V_{oc} = 1.04 V, short circuit current density (J_{sc}) of 14.2 mA/cm^{2}, and fill factor (FF) of 86.5%. All the cells, included in the REF one, show quite low FF and unusual rounded shape of the J − V characteristic, whose origin is attributed to issues in the realization of the metal grid. The observed behavior cannot be fitted by a simple lumped model with series and shunt resistances: a nonuniform threesection model of the cell [36] provides a good fitting of the measured characteristics, as shown in Figure 3, with extracted series resistances of about 50, 1, and 1 Ωcm^{2} for each subcell. The undoped QDSC shows a marked penalty of V_{oc} with respect to the REF cell, which is partially recovered in the samples with directly doped QDs. On the other side, the doped QDSCs have lower J_{sc} that can be in part attributed to the shrinking of the space charge region and subsequent reduction of carrier collection and in part to lower minority carrier lifetime in the base and emitter regions as demonstrated later (see Figure 4) based on measured EQE and simulations. In may be worth noticing that under the assumption of similar material quality, the slightly larger thickness of the undoped region of the R5 sample (520 nm) with respect to the R4 one (420 nm) would produce an absolutely marginal difference in terms of device level behavior. Finally, the higher J_{sc} of the undoped QDSC with respect to the REF cell is not related to QD photogeneration but rather to a worse carrier collection efficiency in the emitter causing a decreased EQE in the GaAs absorption range.

(a)
(b)
The electronic structure of QDs is estimated based on room temperature steadystate PL. The measured PL spectra at low and room temperature are shown in Figures 5(a) and 5(b), respectively. At low temperature, only the GS state is visible, with a slight redshift of the PL peak and an increase of the full width at half maximum (FWHM) for the doped samples with respect to the undoped one especially in the longer wavelength region. The observed behavior suggests that in the doped samples the distribution of the dot size is less homogeneous, with an increased density of larger (i.e., more confined) QDs which emit at lower energies [37]. At 300 K, the slight blue shift of the GS emission of the doped samples may be indicative of a higher interband transition energy and of a weaker quantum confinement of electrons in the GS. More importantly, the PL spectrum makes well visible the increase of the WL emission with respect to the GS one with doping. This indicates less efficient ES and GS relaxation pathways for the WL state of doped QDSCs that can be understood as a consequence of blocking of electron relaxation in the ES and GS due to state filling effects [18]. From the PL measurements, we identified energy gaps of 1.24 eV, 1.28 eV, and 1.37 eV for GS, ES, and WL, respectively, as representative values for all the samples under study. The impact of slight variations in the QD electronic structure and GS energy is analyzed in detail later (see Figure 6), based on the analysis of V_{oc} data. Based on literature data [38], the confinement energy for electron and holes in each state is set to 80% and 20% of the difference between barrier and QD level energy gap [38] (e.g., , E_{g} and E_{g,GS} being the barrier energy gap and GS energy gap, resp.).
(a)
(b)
The analysis of the experimental results through the device level model in Section 2 provides also an estimation of the ShockleyReadHall lifetimes in (3) characterizing nonradiative recombination across the barrier states. Even though the strong interaction between continuum and localized states makes not obvious to single out the impact of such parameters on the cell photovoltaic behavior, some basic knowledge of device operation (as routinely observed in bulk cells) allows identifying a suitable strategy for their extraction. In fact, it is worth reminding that shortcircuit SRH recombination is more detrimental in the doped regions, whereas it marginally affects carrier collection efficiency in the undoped one. In contrast, at opencircuit condition, the most detrimental loss arises from SRH recombination in the undoped region. Thus, once a reasonably accurate optical model of the cell is established, the analysis of EQE spectra—in particular in the GaAs wavelength range—allows identifying lower bounds for the SRH lifetimes in the base and emitter, whereas the analysis of the opencircuit voltage provides an estimation of SRH lifetimes in the undoped region.
The measured EQE spectra are shown in Figure 4. Fitting the EQE of the undoped cell in the GaAs wavelength region, we estimated a lower bound for the SRH lifetimes in the pdoped emitter and ndoped base of about 8 ns and 10 ns, respectively. For reference, the expected lifetimes, accounting for doping dependence, are about 20 ns and 300 ns, respectively [39]. Based on the model identified for the undoped cell, we have verified the impact of QD doping on J_{sc}. Since the actual distribution of dopant impurities is not known, we compare in Figure 4 different hypotheses of dopant distribution: dopant atoms at the QD site (direct doping), a thin layer of dopant atoms located in the middle of the interdot layer (mod. dop), and a uniform distribution across the whole QD stack. A detailed analysis of the impact of the different doping profiles on the energy band diagram and potential distribution may be found in [18]. Simulations in Figure 4 show that doping induces a clear penalty in the GaAsrange EQE, but such penalty is not sufficient to explain the reduced EQE of the direct doped samples with respect to the undoped ones. The EQE degradation is in fact reproduced by accounting for a reduction of minority carrier lifetime in the doped regions, with fitted SRH lifetimes of 500 ps in the emitter of the R5 sample and 50 ps (emitter)/200 ps (base) for the R4 sample.
Finally, the optical properties of the QD layer are estimated from the analysis of the subband gap EQE of the undoped cell reported in Figure 4(b). To this aim, the InAs/GaAs QD layer is described as a homogeneous equivalent medium with optical absorption α_{GaAs} + ∆α and real refractive index n_{GaAs} + ∆n, where ∆α and ∆n are the absorption coefficient and refractive index of the QD material, weighted by the QD areal density. For the GS and ES states, a Gaussian distribution is used, with a peak absorption of 500 cm^{−1} and 1000 cm^{−1} and FWHM of 50 nm, respectively. The WL absorption profile is modeled by convolution of a Heaviside step function with a Lorentzian broadening function, with an absorption peak of about 2 × 10^{4} cm^{−1} and FWHM of 40 nm. Representative examples of the spectral behavior of the extracted ∆α and ∆n can be found in [40]. The complex refractive index of bulk materials was taken from [41].
Figure 4(b) also highlights the suppression of QD photogeneration in the doped samples, with good agreement between measurements and simulations.
At opencircuit condition, based on the QD electronic model, we first analyze the predicted V_{oc} penalty of the QDSCs with respect to the bulk cell. To this aim, we take into account possible fluctuations of the QD confinement as seen from the PL spectra. Figure 6 reports the V_{oc} of the QD solar cell as a function of doping for different QD families with GS transition energy between 1.18 and 1.25 eV. SRH lifetimes in the doped regions are those extracted from the shortcircuit analysis; in the undoped region, a SRH lifetime of 500 ns is assumed. For the sake of comparison, the V_{oc} (design value) of the REF cell is also reported. The analysis shows that the inherent (i.e., for negligible defectivity of the QD material) penalty due to the inclusion of the QDs is about 120 mV for the largest GS confinement, in agreement with previous theoretical works [20] and experimental data of QDSC with record V_{oc} [42]. Such penalty can be fully attributed to radiative recombination through the QD states [15, 18]. On the other hand, the comparison with the experimental data suggests that some other loss mechanism is in play in the devices under study, causing an added penalty of about 180 mV for the undoped case. Besides the measured data of the samples described in Section 3, we included also experimental data of very similar QDSCs, reported by the same research group in [43]. A very good agreement between simulated and measured data is obtained by assuming a significant defectivity of the interdot spacer layers, causing SRH lifetime (labeled as τ_{nr,QD} in Figure 6) on the order of fractions of ns, that is, lower than the QD radiative lifetime. The calculated trend of V_{oc} as a function of the doping density closely follows the measured one, suggesting that dopant atoms are well incorporated in the QDs and provide electrons per dot in line with the nominal doping value. Overall, the results highlight that doping is always beneficial in terms of V_{oc}, since it mitigates both QD radiative recombination and nonradiative recombination. QD radiative recombination is in fact suppressed by QD state filling; SRH recombination is suppressed because doping shifts the electron quasiFermi level far away from the intrinsic Fermi level reducing the capture/emission probability of electrons and holes by the midgap defect. Further analysis of dopedinduced SRH suppression and examples of calculated SRH recombination rates in QDSCs may be found in [18, 44].
Finally, further supporting the interpretation that the QDSCs under study are limited by SRH recombination, Figure 7 compares the measured and simulated behavior of the integrated PL (IPL) versus the excitation power (P_{exc}): at T = 10 K, all the cells present a linear dependence of IPL with P_{exc} (slope ∼ 1 in the loglog plot) regardless of doping, since they are dominated by the radiative recombination through the QDs. On the other hand, at T = 300 K, the undoped cell shows a superlinear dependence of IPL with P_{exc} (slope ∼ 1.8 in the loglog plot), while the doped ones have again almost linear behavior. Our comprehension of the mechanism is that at T = 300 K nonradiative recombination through the barrier is an effective loss mechanism for photogenerated carriers that tends to be suppressed (or saturated) as the excitation power increases: thus, at low excitation power, IPL scales almost quadratically with P_{exc} [18, 45, 46]. The introduction of doping changes the electrostatic potential and electrical field profiles of the cell in such a way that SRH recombination results minimized. As a result, the doped QD cells have again a radiative limited behavior and their IPL scales linearly with P_{exc}.
(a)
(b)
5. Conclusion
We have applied physicsbased numerical simulations to investigate the photovoltaic behavior of quantum dot solar cells which demonstrate a large increase of the opencircuit voltage with doping. The analysis of the experimental results points out that doping has profound effects on the cell behavior, which are difficult to disentangle without the support of device level simulations, since they involve the microscale, in terms of QD carrier dynamics, and the macroscale, since doping affects the electric field distribution across the photoactive region. The analysis allows also assessing the margin of improvement for the opencircuit voltage, taking into account that the cells under study operate under thermally limited regime; that is, twostep photon absorption is negligible. The presented device level simulations are developed within a multiscale modeling framework which combines in a selfconsistent fashion transport equations in the bulk, rate equations for carrier dynamics in the QD states, and an accurate electromagnetic model of the optical field across the cell. Further physical mechanisms relevant to QDbased solar cells, such as twophoton absorption, Auger processes, and hot carrier relaxation can be incorporated in this simulation framework allowing us to gain a deeper understanding of the physics of real devices and directions for their development.
Conflicts of Interest
The authors declare that they have no conflicts of interest.
Acknowledgments
This project has received funding from the European Union’s Horizon 2020 Research and Innovation Programme under Grant Agreement no. 687253. F. Cappelluti acknowledges useful meetings and discussions supported by COST Action MP1406 “MultiscaleSolar”.
References
 S. Hubbard and R. Raffaelle, “Boosting solarcell efficiency with quantumdotbased nanotechnology,” SPIE Newsroom, 2010. View at: Publisher Site  Google Scholar
 A. Luque and A. Martí, “Increasing the efficiency of ideal solar cells by photon induced transitions at intermediate levels,” Physical Review Letters, vol. 78, no. 26, pp. 5014–5017, 1997. View at: Publisher Site  Google Scholar
 S. Asahi, H. Teranishi, K. Kusaki, T. Kaizu, and T. Kita, “Twostep photon upconversion solar cells,” Nature Communications, vol. 8, p. 14962, 2017. View at: Publisher Site  Google Scholar
 D. M. Tex, I. Kamiya, and Y. Kanemitsu, “Control of hotcarrier relaxation for realizing ideal quantumdot intermediateband solar cells,” Scientific Reports, vol. 4, p. 4125, 2014. View at: Publisher Site  Google Scholar
 U. Aeberhard, “Simulation of nanostructurebased highefficiency solar cells: challenges, existing approaches, and future directions,” IEEE Journal of Selected Topics in Quantum Electronics, vol. 19, no. 5, pp. 1–11, 2013. View at: Publisher Site  Google Scholar
 M. Y. Levy and C. Honsberg, “Solar cell with an intermediate band of finite width,” Physical Review B, vol. 78, no. 16, article 165122, 2008. View at: Publisher Site  Google Scholar
 L. Cuadra, A. Marti, and A. Luque, “Influence of the overlap between the absorption coefficients on the efficiency of the intermediate band solar cell,” IEEE Transactions on Electron Devices, vol. 51, no. 6, pp. 1002–1007, 2004. View at: Publisher Site  Google Scholar
 R. Strandberg and T. Reenaas, “Optimal filling of the intermediate band in idealized intermediateband solar cells,” IEEE Transactions on Electron Devices, vol. 58, no. 8, pp. 2559–2565, 2011. View at: Publisher Site  Google Scholar
 V. Aroutiounian, S. Petrosyan, A. Khachatryan, and K. Touryan, “Quantum dot solar cells,” Journal of Applied Physics, vol. 89, no. 4, pp. 2268–2271, 2001. View at: Google Scholar
 A. S. Lin and J. D. Phillips, “Driftdiffusion modeling for impurity photovoltaic devices,” IEEE Transactions on Electron Devices, vol. 56, no. 12, pp. 3168–3174, 2009. View at: Publisher Site  Google Scholar
 K. Yoshida, Y. Okada, and N. Sano, “Selfconsistent simulation of intermediate band solar cells: effect of occupation rates on device characteristics,” Applied Physics Letters, vol. 97, no. 13, p. 133503, 2010. View at: Publisher Site  Google Scholar
 I. Tobías, A. Luque, and A. Martí, “Numerical modeling of intermediate band solar cells,” Semiconductor Science and Technology, vol. 26, no. 1, article 014031, 2011. View at: Publisher Site  Google Scholar
 R. Strandberg and T. Reenaas, “Driftdiffusion model for intermediate band solar cells including photofilling effects,” Progress in Photovoltaics, vol. 19, no. 1, pp. 21–32, 2012. View at: Publisher Site  Google Scholar
 V. Aroutiounian, S. Petrosyan, and A. Khachatryan, “Studies of the photocurrent in quantum dot solar cells by the application of a new theoretical model,” Solar Energy Materials and Solar Cells, vol. 89, no. 2, pp. 165–173, 2005. View at: Publisher Site  Google Scholar
 M. Gioannini, A. P. Cedola, N. Di Santo, F. Bertazzi, and F. Cappelluti, “Simulation of quantum dot solar cells including carrier intersubband dynamics and transport,” IEEE Journal of Photovoltaics, vol. 3, no. 4, pp. 1271–1278, 2013. View at: Publisher Site  Google Scholar
 M. Gioannini, A. P. Cedola, and F. Cappelluti, “Impact of carrier dynamics on the photovoltaic performance of quantum dot solar cells,” IET Optoelectronics, vol. 9, no. 2, pp. 69–74, 2015. View at: Publisher Site  Google Scholar
 T. Sogabe, Q. Shen, and K. Yamaguchi, “Recent progress on quantum dot solar cells: a review,” Journal of Photonics for Energy, vol. 6, no. 4, article 040901, 2016. View at: Publisher Site  Google Scholar
 F. Cappelluti, M. Gioannini, and A. Khalili, “Impact of doping on InAs/GaAs quantumdot solar cells: a numerical study on photovoltaic and photoluminescence behavior,” Solar Energy Materials and Solar Cells, vol. 157, pp. 209–220, 2016. View at: Publisher Site  Google Scholar
 D. Bimberg, M. Grundmann, and N. N. Ledentsov, Quantum Dot Heterostructures, John Wiley & Sons, 1999.
 G. Jolley, L. Fu, H. F. Lu, H. H. Tan, and C. Jagadish, “The role of intersubband optical transitions on the electrical properties of InGaAs/GaAs quantum dot solar cells,” Progress in Photovoltaics, 2012. View at: Publisher Site  Google Scholar
 G. A. Kosinovsky, “Threshold current and modulation response of semiconductor lasers,” 1995. View at: Google Scholar
 T. R. Nielsen, P. Gartner, and F. Jahnke, “Manybody theory of carrier capture and relaxation in semiconductor quantumdot lasers,” Physical Review B, vol. 69, no. 23, article 235314, 2004. View at: Publisher Site  Google Scholar
 G. A. Narvaez, G. Bester, and A. Zunger, “Carrier relaxation mechanisms in selfassembled (In, Ga) As/Ga As quantum dots: efficient P → S Auger relaxation of electrons,” Physical Review B, vol. 74, no. 7, article 075403, 2006. View at: Publisher Site  Google Scholar
 K. Schuh, P. Gartner, and F. Jahnke, “Combined influence of carrierphonon and coulomb scattering on the quantumdot population dynamics,” Physical Review B, vol. 87, no. 3, article 035301, 2013. View at: Publisher Site  Google Scholar
 S. Tomić, “Intermediateband solar cells: influence of band formation on dynamical processes in InAs/GaAs quantum dot arrays,” Physical Review B, vol. 82, no. 19, article 195321, 2010. View at: Publisher Site  Google Scholar
 J. Siegert, S. Marcinkevičius, and Q. X. Zhao, “Carrier dynamics in modulationdoped InAs/GaAs quantum dots,” Physical Review B, vol. 72, no. 8, 2005. View at: Publisher Site  Google Scholar
 F. Cappelluti, A. Khalili, and M. Gioannini, “Open circuit voltage recovery in quantum dot solar cells: a numerical study on the impact of wetting layer and doping,” IET Optoelectronics, vol. 11, no. 2, pp. 44–48, 2017. View at: Publisher Site  Google Scholar
 P. W. Fry, J. J. Finley, L. R. Wilson et al., “Electricfielddependent carrier capture and escape in selfassembled InAs/GaAs quantum dots,” Applied Physics Letters, vol. 77, no. 26, pp. 4344–4346, 2000. View at: Publisher Site  Google Scholar
 T. Müller, F. Schrey, G. Strasser, and K. Unterrainer, “Ultrafast intraband spectroscopy of electron capture and relaxation in InAs/GaAs quantum dots,” Applied Physics Letters, vol. 18, no. 17, pp. 3572–3574, 2003. View at: Publisher Site  Google Scholar
 L. A. Pettersson, L. S. Roman, and O. Inganäs, “Modeling photocurrent action spectra of photovoltaic devices based on organic thin films,” Journal of Applied Physics, vol. 86, no. 1, pp. 487–496, 1999. View at: Publisher Site  Google Scholar
 F. Bertazzi, F. Cappelluti, S. D. Guerrieri, F. Bonani, and G. Ghione, “Selfconsistent coupled carrier transport fullwave EM analysis of semiconductor travelingwave devices,” IEEE Transactions on Microwave Theory and Techniques, vol. 54, no. 4, pp. 1611–1618, 2006. View at: Publisher Site  Google Scholar
 D. Kim, M. Tang, J. Wu et al., “Sidoped InAs/GaAs quantumdot solar cell with AlAs cap layers,” IEEE Journal of Photovoltaics, vol. 6, no. 4, pp. 906–911, 2016. View at: Publisher Site  Google Scholar
 H. Y. Liu, I. R. Sellers, T. J. Badcock et al., “Improved performance of 1.3μm multilayer InAs quantumdot lasers using a highgrowthtemperature GaAs spacer layer,” Applied Physics Letters, vol. 85, no. 5, pp. 704–706, 2004. View at: Publisher Site  Google Scholar
 H. Y. Liu, S. L. Liew, T. Badcock et al., “pdoped 1.3μm InAs/GaAs quantumdot laser with a low threshold current density and high differential efficiency,” Applied Physics Letters, vol. 89, no. 7, article 073113, 2006. View at: Publisher Site  Google Scholar
 F. K. Tutu, I. R. Sellers, M. G. Peinado et al., “Improved performance of multilayer InAs/GaAs quantumdot solar cells using a highgrowthtemperature GaAs spacer layer,” Journal of Applied Physics, vol. 111, no. 4, article 046101, 2012. View at: Publisher Site  Google Scholar
 M. Wolf and H. Rauschenbach, “Series resistance effects on solar cell measurements,” Advanced Energy Conversion, vol. 3, no. 2, pp. 455–479, 1963. View at: Publisher Site  Google Scholar
 H. L. Wang, F. H. Yang, and S. L. Feng, “Photoluminescence in Si and Be directly doped selforganized InAs/GaAs quantum dots,” Journal of Crystal Growth, vol. 212, no. 12, pp. 35–38, 2000. View at: Publisher Site  Google Scholar
 A. Markus, M. Rossetti, V. Calligari, J. Chen, and A. Fiore, “Role of thermal hopping and homogeneous broadening on the spectral characteristics of quantum dot lasers,” Journal of Applied Physics, vol. 98, no. 10, article 104506, 2005. View at: Publisher Site  Google Scholar
 M. P. Lumb, M. A. Steiner, J. F. Geisz, and R. J. Walters, “Incorporating photon recycling into the analytical driftdiffusion model of high efficiency solar cells,” Journal of Applied Physics, vol. 116, no. 19, article 194504, 2014. View at: Publisher Site  Google Scholar
 A. Musu, F. Cappelluti, T. Aho, V. Polojärvi, T. K. Niemi, and M. Guina, “Nanostructures for light management in thinfilm GaAs quantum dot solar cells,” in SolidState Lighting, no. article JW4A.45, Optical Society of America, 2016. View at: Google Scholar
 Sopra database. 19952016 Software Spectra, Inc., http://sspectra.com/sopra.html.
 C. G. Bailey, D. V. Forbes, R. P. Raffaelle, and S. M. Hubbard, “Near 1 V open circuit voltage InAs/GaAs quantum dot solar cells,” Applied Physics Letters, vol. 98, no. 16, article 163105, 2011. View at: Publisher Site  Google Scholar
 P. Lam, S. Hatch, J. Wu et al., “Voltage recovery in charged InAs/GaAs quantum dot solar cells,” Nano Energy, vol. 6, pp. 159–166, 2014. View at: Publisher Site  Google Scholar
 S. J. Polly, D. V. Forbes, K. Driscoll, S. Hellstrom, and S. M. Hubbard, “Deltadoping effects on quantumdot solar cells,” IEEE Journal of Photovoltaics, vol. 4, no. 4, pp. 1079–1085, 2014. View at: Publisher Site  Google Scholar
 S. Sanguinetti, D. Colombo, M. Guzzi et al., “Carrier thermodynamics in InAs/In_{x}Ga_{1−x}As quantum dots,” Physical Review B, vol. 74, no. 20, article 205302, 2006. View at: Publisher Site  Google Scholar
 T. Kita, R. Hasagawa, and T. Inoue, “Suppression of nonradiative recombination process in directly Sidoped InAs/GaAs quantum dots,” Journal of Applied Physics, vol. 110, no. 10, article 103511, 2011. View at: Publisher Site  Google Scholar
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