V M Caselli1, T J Savenije1. 1. Department of Chemical Engineering, Delft University of Technology, van der Maasweg 9, 2629 HZ Delft, The Netherlands.
Abstract
To increase the open-circuit voltage in perovskite-based solar cells, recombination processes at the interface with transport layers (TLs) should be identified and reduced. We investigated the charge carrier dynamics in bilayers of methylammonium lead iodide (MAPbI3) with C60 or Spiro-OMeTAD using time-resolved microwave conductance (TRMC) measurements with and without bias illumination (BI). By modeling the results, we quantified recombination losses in bare MAPbI3 and extraction into the TLs. Only under BI did we find that the density of deep traps increases in bare MAPbI3, substantially enhancing trap-mediated losses. This reversible process is prevented in a bilayer with C60 but not with Spiro-OMeTAD. While under BI extraction rates reduce significantly in both bilayers, only in MAPbI3/Spiro-OMeTAD does interfacial recombination also increases, substantially reducing the quasi Fermi level splitting. This work demonstrates the impact of BI on charge dynamics and shows that adjusting the Fermi level of TLs is imperative to reduce interfacial recombination losses.
To increase the open-circuit voltage in perovskite-based solar cells, recombination processes at the interface with transport layers (TLs) should be identified and reduced. We investigated the charge carrier dynamics in bilayers of methylammonium lead iodide (MAPbI3) with C60 or Spiro-OMeTAD using time-resolved microwave conductance (TRMC) measurements with and without bias illumination (BI). By modeling the results, we quantified recombination losses in bare MAPbI3 and extraction into the TLs. Only under BI did we find that the density of deep traps increases in bare MAPbI3, substantially enhancing trap-mediated losses. This reversible process is prevented in a bilayer with C60 but not with Spiro-OMeTAD. While under BI extraction rates reduce significantly in both bilayers, only in MAPbI3/Spiro-OMeTAD does interfacial recombination also increases, substantially reducing the quasi Fermi level splitting. This work demonstrates the impact of BI on charge dynamics and shows that adjusting the Fermi level of TLs is imperative to reduce interfacial recombination losses.
Metal halide perovskite-based
solar cells (PSCs) have improved significantly over the past years,
reaching device efficiencies over 25%.[1] This impressive progress can be attributed to different optimization
procedures. The perovskite layer properties have been perfected by
optimizing the synthesis and deposition methods to obtain more stable
and highly crystalline perovskite layers.[1−4] At the device level, many approaches
have been proposed to improve the interface properties between the
perovskite absorber layer and the selective transport layers (TLs).[5] Poor band alignment, defect states at the interfaces,
and instability of the used transport materials lead to a reduction
in device performance, typically in the form of a reduction of the
open-circuit voltage (Voc).[6] To overcome these issues, many different materials,
organic and inorganic, have been examined as electron or hole transport
layers.[7−11] However, for rational design of efficient perovskite-based solar
cells with a high Voc, it is essential
to obtain information regarding the rates for the charge extraction
and recombination processes occurring at the perovskite/TL interfaces.Different experimental methods have been used to characterize the
interface of the perovskite layer with the TLs.[5,8,12,13] Increasing
photoluminescence yields and enhanced device stabilities and efficiencies
have been often related to improved interfacial properties. Nonetheless,
only a few research groups have been able to provide a quantitative
analysis of the rate constants for charge extraction and interfacial
recombination.[14−19] In all these studies, the charge carrier dynamics have been investigated
by means of time-resolved techniques using pulsed illumination sources.
However, the kinetic parameters that can be extracted from a time-resolved
analysis are not always representative of the dynamics under steady-state
illumination.[20] In addition, it has been
reported that, for example, MAPbI3 is unstable under continuous
illumination. More specifically, ion migration has been found to be
the cause of several instability issues and hysteresis in the J–V curves of MAPbI3-based
devices.[5,7,9,21] It can be expected that ion migration influences
not only the charge carrier dynamics in the perovskite layer but also
the efficiency of the charge extraction process by the TLs.[7,22] For these reasons, quantitatively studying the charge carrier extraction
in perovskite/TL bilayers under steady-state illumination is relevant
to fully characterize the interfacial processes.In this Letter
we provide a quantitative analysis to extract the
rates of charge carrier extraction and recombination processes for
methylammonium lead iodide (MAPbI3) with selective TLs
(see Scheme ) under
bias illumination (BI). C60 and Spiro-OMeTAD are chosen as electron
transport layer (ETL) and hole transport layer (HTL), respectively,
as they are the most commonly applied materials in the corresponding
p-i-n and n-i-p cell structures. The dynamics are revealed by time-resolved
microwave photoconductance (TRMC) measurements in the presence or
absence of continuous bias illumination with an intensity comparable
to 0.3 suns. The analysis has been carried out by first investigating
the optoelectronic properties of the bare MAPbI3 layer,
followed by the MAPbI3/C60 and MAPbI3/Spiro-OMeTAD
bilayers. The contactless TRMC measurements are performed over a broad
intensity range from 1013–1015 cm–3, allowing us to quantify the various rate constants
(see Scheme a). Unless
specified otherwise, the samples have been illuminated from the quartz
side, referred to as the back side (BS) in Scheme b, in order to reduce parasitic absorption
of BI by the TLs.
Scheme 1
(a) Schematic Representation of a MAPbI3/ETL Heterojunction
and Relevant Kinetic Processes Occurring under Illumination; (b) Schematic
Representation of the Sample Configuration and Excitation Side
In panel a, the
processes
in the MAPbI3 film are shown in black, while the charge
carrier extraction and back recombination due to the presence of the
ETL are shown in green. In panel b, front side (FS) is performed by
illuminating the sample from the perovskite/TL side, back side (BS)
excitation by illuminating though the quartz substrate
(a) Schematic Representation of a MAPbI3/ETL Heterojunction
and Relevant Kinetic Processes Occurring under Illumination; (b) Schematic
Representation of the Sample Configuration and Excitation Side
In panel a, the
processes
in the MAPbI3 film are shown in black, while the charge
carrier extraction and back recombination due to the presence of the
ETL are shown in green. In panel b, front side (FS) is performed by
illuminating the sample from the perovskite/TL side, back side (BS)
excitation by illuminating though the quartz substrateConfirming previous findings, we observe in MAPbI3/C60
bilayers fast and efficient charge extraction by the C60 layer on
pulsed illumination.[8−10,23] However, while a bare
MAPbI3 layer shows fully reversible degradation under BI,
the introduction of C60 suppresses this degradation process. On the
other hand, the MAPbI3/Spiro-OMeTAD bilayer is characterized
by the formation of an internal electric field affecting the charge
extraction. Furthermore, under BI the concentration defect states
at the MAPbI3/Spiro-OMeTAD interface increases substantially,
which leads to partially irreversible changes in charge carrier dynamics.
Finally, we calculate the concentrations of carriers under BI using
the found kinetic parameters extracted from the TRMC analysis.[24] From these concentrations, quantification of
the recombination losses and the quasi Fermi level splitting corresponding
to the upper limit of qVOC of a device
are determined and discussed.MAPbI3 thin films have
been spin-coated onto quartz
substrates following a previously reported procedure.[23] Optical and morphological characterizations are reported
in the Supporting Information. A 30 nm
thick C60 layer has been added via physical vapor deposition, while
Spiro-OMeTAD has been spin-coated on top of the MAPbI3 film,
as described in the Supporting Information. First, the TRMC signals observed upon 650 nm photoexcitation of
single and bilayers of MAPbI3 (red) and MAPbI3/TL (with ETL in green and HTL in orange) without BI are shown in Figure a,b. Two characteristics
can be observed: the magnitude of the TRMC signal of the bilayers
is reduced with respect to the signal of the bare MAPbI3, and at the same time, part of the photoconductance signal shows
a slower decay.[23] The present results are
in qualitative agreement with the data on single and double layers
reported previously.[23] Both these effects
can be explained by efficient charge carrier extraction by the TLs.
Basically, the TRMC signal is proportional to the concentration of
charge carriers, n,
times their mobility, μ, as given
in eq :Here, e is the elementary
charge, β a dimensionality factor, and L the
sample thickness. As the electron and hole mobilities in the TLs are
more than 1 order of magnitude lower than in the perovskite layer,
the extracted carriers have a negligible contribution to the measured
photoconductance signal.[25,26] This results in lower
signals for the bilayers compared to the bare MAPbI3 layer.
Furthermore, if efficient extraction occurs, the charge concentration
of one type of carrier in the bands is less, reducing the decay by
(non) radiative second-order recombination, and thus, long-lived photoconductance
signals are observed.
Figure 1
TRMC results upon excitation at 650 nm yielding an initial
excitation
density of 1015 charges/cm3/pulse for MAPbI3 (red), MAPbI3/C60 (green), and MAPbI3/Spiro-OMeTAD (orange) in absence (a and b) and presence (c and d)
of a 0.3 sun bias illumination.
TRMC results upon excitation at 650 nm yielding an initial
excitation
density of 1015 charges/cm3/pulse for MAPbI3 (red), MAPbI3/C60 (green), and MAPbI3/Spiro-OMeTAD (orange) in absence (a and b) and presence (c and d)
of a 0.3 sun bias illumination.The TRMC results obtained under BI are shown in Figure c,d, displaying overall
faster
decays. This is expected because the higher excess charge carrier
concentrations under BI enhance second-order recombination. Most interestingly,
the dynamics in the MAPbI3/C60 bilayer is almost identical
to that in the MAPbI3 single layer, as is evident from Figure c, suggesting reduced
charge extraction. Also, for the MAPbI3/Spiro-OMeTAD bilayer,
faster decays are observed on BI and the decay does not show any long-lived
tail. Nonetheless, in comparison to the single MAPbI3 layer
under BI, the lifetimes for the bilayer are still substantially longer
(see Figure d). This
might imply that part of the excess carriers is still extracted by
the Spiro-OMeTAD, although less extensively than without BI. As shown
in Figure S5, similar trends can be observed
upon FS excitation of the bilayers. The independence of the excitation
side implies that neither the initial excitation profile nor the period
involved with diffusion of charges through the MAPbI3 dominates
the decay kinetics on the used time scales.In order to deduce
the charge carrier extraction rates with and
without BI, we adapted the kinetic model presented by Hutter et al.[27] The model accounts for all the processes provided
in Scheme a, and it
allows us to determine the time-dependent charge carrier concentrations
by solving four coupled differential eqs (eqs –5 for perovskite/ETL
heterojunctions, and equations S2–S5 in the Supporting Information for a perovskite/HTL bilayer).These equations include generation
and recombination terms for
electrons, ne, and holes, nh. GP is the pulsed generation
term; k2 is the second-order rate constant;
and kT and kD are the trapping and detrapping rate constants, respectively. It
is important to note that the second-order recombination revealed
by TRMC measurements accounts for both radiative and nonradiative
contributions, as discussed in a previous study.[28] These parameters, together with the total number of trap
states, NT, and background carrier concentration, p0, are characteristic of spin-coated MAPbI3. Because of the p-type character of MAPbI3, n0 is negligible, and this term is left out in
the coupled differential equations. Charge carrier extraction is characterized
by the extraction and back recombination rate constants, kext and krec, respectively.Typically, TRMC results are modeled taking into account the temporal
laser pulse profile and its intensity (Figure a), resulting in the GP term used in eqs and 3. The modeled photoconductance signals,
fits to the TRMC traces, result from the sum of the time-dependent
electron and hole contributions times their individual mobilities
at specific intensities. In Figure b, the modeled electron (orange), hole (red), and trapped
electron (green) concentrations are shown for the specific case of
9.8 × 1013 excitations/cm3/pulse of the
bare MAPbI3 layer. In the next step we use the kinetic
parameters obtained from the TRMC analysis to model the concentration
of electrons and holes in the perovskite material under BI.[24] This is achieved by replacing the temporal profile
of the laser pulse with a continuous illumination profile, GBias as shown in Figure c (see the Supporting Information for calculation of GBias). The results for the MAPbI3 single layer, presented
in Figure d, show
that an equilibrium is reached in the perovskite film within 6 μs,
after which electron and hole concentrations remain constant. In order
to model the laser pulse-induced TRMC traces under BI, both the continuous
bias illumination and laser pulse are combined in the generation term, GCom, as shown in Figure e. The calculated concentration profiles
from the model are shown in the inset of Figure f. Since the TRMC setup records only the
AC part of the photoconductance, the modeled traces are vertically
shifted, providing only the AC contributions as exemplified in Figure f (see Experimental Methods for details) These calculated traces
show the characteristic decays of a pulsed laser experiment but take
into account the charge carrier concentrations induced by the BI.
Figure 2
Simulation
of the charge carrier concentrations using different
illumination sources for a bare MAPbI3 layer. When only
pulsed excitation is used, the generation term, GP, represents the temporal generation profile of the laser
pulse and its intensity (here 9.8 × 1013 charges/cm3 per pulse) shown in panel a, which results in the electron
(orange), hole (red), and trapped carrier (green) concentrations shown
in panel b. The steady-state concentrations can be modeled with a
continuous generation profile, as represented in panel c, leading
to the modeled concentrations shown in panel d. For the analysis of
the TRMC traces in the presence of bias illumination, the two generation
terms are combined to GCom as shown in
panel e. After subtraction of the DC contribution, we can extract
the relevant concentrations, as presented in panel f. The magnitude
of GBias for the bias illumination is
derived from the LED power as described in the Supporting Information.
Simulation
of the charge carrier concentrations using different
illumination sources for a bare MAPbI3 layer. When only
pulsed excitation is used, the generation term, GP, represents the temporal generation profile of the laser
pulse and its intensity (here 9.8 × 1013 charges/cm3 per pulse) shown in panel a, which results in the electron
(orange), hole (red), and trapped carrier (green) concentrations shown
in panel b. The steady-state concentrations can be modeled with a
continuous generation profile, as represented in panel c, leading
to the modeled concentrations shown in panel d. For the analysis of
the TRMC traces in the presence of bias illumination, the two generation
terms are combined to GCom as shown in
panel e. After subtraction of the DC contribution, we can extract
the relevant concentrations, as presented in panel f. The magnitude
of GBias for the bias illumination is
derived from the LED power as described in the Supporting Information.The above model and fitting procedure were applied
to the three
systems under investigation, i.e., bare MAPbI3, MAPbI3/C60, and MAPbI3/Spiro-OMeTAD for many laser intensities.
The protocol to obtain values for the various parameters by fitting
the TRMC traces is described in the Supporting Information. The TRMC results (dashed lines) and corresponding
fits (solid lines) are shown in Figure , while the kinetic parameters are reported in Table . The iterative and
global analysis of the three systems in parallel allows a detailed
and accurate quantification of the optoelectronic properties of MAPbI3. The fact that the excitation profile and corresponding charge
diffusion within the MAPbI3 have no effect on the TRMC
signal justifies the use of homogeneous differential equations on
a clearly nonhomogeneous system. Electron and hole mobilities in MAPbI3 were found to be 30 and 25 cm2/(Vs), respectively,
in agreement with previously reported values.[24] Furthermore, in the absence of BI, the results revealed the presence
of 1014 cm–3 deep trap states, NT, in bare MAPbI3, while the dark
carrier concentration, p0, was found to
be 6.5 × 1014 cm–3 (Figure a and Table ). For laser intensities yielding an excess
charge density < NT, the traces overlap,
while for higher intensities, second-order recombination becomes the
dominant factor in the decay kinetics.
Figure 3
TRMC traces (dashed lines) and fits (solid lines) upon 650 nm pulsed
excitation without (left) and with (right) bias illumination for MAPbI3 single layer (a and b), MAPbI3/C60 (c and d),
and MAPbI3/Spiro-OMeTAD (e and f).
Table 1
Rate Constants and Trap Densities
Used for the Fits to the TRMC Signals of Bare MAPbI3, MAPbI3/C60, and MAPbI3/Spiro-OMeTAD without and with
Bias Illumination
without
bias
with
bias
MAPbI3
MAPbI3/C60
MAPbI3/ Spiro
MAPbI3
MAPbI3/ C60
MAPbI3/ Spiro
k2 (×10–9 cm3/s)
2.0
2.0
1.8
2.0
2.0
1.8
kT (×10–9 cm3/s)
9.8
9.8
9.8
9.8
9.8
9.8
kD (×10–9 cm3/s)
0.20
0.20
0.20
0.20
0.20
0.20
NT (×1014 cm–3)
1.0
1.0
1.0
22
3.0
22
p0 (×1014 cm–3)
6.5
6.5
0.6
6.5
6.5
0.6
kext (×106 cm3/s−1)
9.0
15
1.0
8.0
krec (×106 cm3/s−1)
0.20
0.23
0.20
1.0
TRMC traces (dashed lines) and fits (solid lines) upon 650 nm pulsed
excitation without (left) and with (right) bias illumination for MAPbI3 single layer (a and b), MAPbI3/C60 (c and d),
and MAPbI3/Spiro-OMeTAD (e and f).Interestingly, we observed a strong reduction of p0 to a value of 6.0 × 1013 cm–3 in the MAPbI3/Spiro-OMeTAD bilayer (Figure e), while for MAPbI3/C60 no change in p0 was observed.
This
can be explained by assuming that the Fermi level of the MAPbI3 is below that of Spiro-OMeTAD. Note that the Spiro-OMeTAD
in this study was not intentionally doped nor exposed to oxygen. Equilibration
of the Fermi levels on contacting MAPbI3 and Spiro-OMeTAD
leads to transfer of positive carriers to the latter. This implies
that our bare MAPbI3 layer deposited on quartz is to some
extent p-doped, which is in line with recent studies.[29,30] To corroborate this explanation, we performed steady-state microwave
conductance (SSMC) measurements on bare and bilayers in the dark.
An SSMC experiment provides information on the background conductivity
of a semiconductor layer.[31] On comparison
of the MAPbI3 to the MAPbI3/Spiro-OMeTAD bilayer,
we observed an appreciable reduction of the background conductivity
in the bilayer (see the Supporting Information, Figure S4). In analogy to the reasoning above on equilibration
of the Fermi levels, holes are transferred from the MAPbI3 to the Spiro-OMeTAD layer. Because of the decreased hole mobility
in the Spiro-OMeTAD, an overall reduction in conductivity is expected
in agreement with our SSMC experiments. This result supports the conclusion
regarding the type of doping in MAPbI3. Apart from this
change in p0 for the MAPbI3/Spiro-OMeTAD bilayer, we can use for fitting the bilayers the kinetic
parameters found for the MAPbI3 layer completed by introduction
of a first-order extraction and a recombination process (see Table ). Interestingly the presented kinetic model
captures the reversed intensity dependencies for both bilayers very
well (compare panels c and e of Figure ). For the MAPbI3/Spiro-OMeTAD, a higher
intensity leads to longer lifetimes, while for the MAPbI3/C60, higher intensities lead to faster decays. As previously discussed,[23,27] the different behaviors are related to the nature of the deep trap
states in MAPbI3, which have been proven to be electron
traps.Now we turn to the experiments with BI and start with
the bare
MAPbI3 shown in Figure c. The fast recombination is followed by a small but
long-lived tail. Fits on the TRMC signals with BI (Figure b) reveal that, most importantly,
the same parameters can be used except for the trap state concentration, NT, which increases by more than 1 order of magnitude,
reaching 22 × 1014 cm–3. This increment
can be related to ionic motion in the MAPbI3 film, induced
by the BI. Interestingly after storage of the MAPbI3 film
in the dark for 3 h, NT reverts back to
its original value, which demonstrates the reversibility of this degradation
process (see Figure S7a in the Supporting Information). Taking this light instability into account, the model can accurately
fit the TRMC traces without any further modification of the fitting
parameters given in Table , as can be seen from Figure b.As mentioned, BI of the MAPbI3/C60
bilayer leads to
decay kinetics comparable to those of MAPbI3 under BI.
However, the MAPbI3/C60 bilayer does not show any sign
of a tail (see Figure c) implying no major increase in NT under
BI; that is, NT does not substantially
vary in strong contrast with the value found in bare MAPbI3. In fact, from the fitting of the TRMC traces of the MAPbI3/C60 bilayer with BI, we observe only a minor increment of the trap
state concentration, reaching 3 × 1014 cm–3. Hence, we can conclude that the C60 layer hinders the formation
of additional deep trap states under BI, presumably at the surface
of the MAPbI3. This is in line with previous research arguing
that C60 is able to passivate the surface of perovskite materials,
resulting in efficient charge carrier extraction and high device efficiencies.[8−10,23] From Table we notice that the only parameter that changes
under BI is kext. We suggest that kext is reduced under BI because of pilling up
of electrons in the C60. This leads to formation of an electric field
over the interface, impeding the extraction process of electrons into
C60.For the MAPbI3/Spiro-OMeTAD bilayer measured
under BI,
a combination of both effects is observed. In contrast to MAPbI3/C60 bilayers, the presence of Spiro-OMeTAD does not prevent
the degradation process leading to an increase of NT. Furthermore, the extraction process is reduced by the
presence of the bias illumination, in combination with a 4-fold increase
of krec (see Table ). As previously mentioned, the instability
of MAPbI3 under BI can be related to ionic motion in the
perovskite layer. During BI of the MAPbI3/Spiro-OMeTAD
bilayer, holes are collected and accumulate in the HTL, attracting
negatively charged iodine ions toward the interface. Ion accumulation
at the interface has been indicated as one of the reasons of hysteresis
in the J–V curves[5,7,9,21] and
could explain the changes in extraction (reduced) and interfacial
recombination (increased) rate constants. In addition, TRMC measurements
performed after the BI was turned off showed much faster decay kinetics,
which only partially recovered after 24 h, as shown in Figure S7c. It has been reported that some of
the iodine ions can chemically interact with the Spiro-OMeTAD molecule,
leading to irreversible degradation of the HTL,[18] in line with the only partial recovery that we observe.
The results presented here provide a strong link between the surface/interface
properties and the instability of the perovskite under steady-state
illumination.Although the model presented in Scheme might not include all processes
in full
detail, the combined set of processes can be used to describe the
main trends of the charge carrier dynamics in MAPbI3 and
bilayers under BI. Knowing the rate constants enables us to calculate
a number of interesting aspects, including the various loss factors
and the quasi Fermi level splitting (QFLS) under simulated sun light.
We calculated the steady-state carrier concentrations described by
the coupled differential equations. The generation term, GBias, comprises the intensity corresponding to illumination
of the MAPbI3 layer with 0.3 suns (see the Supporting Information for the calculation).
The evolution of the various concentrations in time until steady-state
is achieved is shown in Figures S6. Furthermore,
the calculated concentrations are compared to the results of the SSMC
experiments for MAPbI3 and MAPbI3/C60 samples
(see Figure a for
MAPbI3 data). From the fits (solid lines) to the data points
(markers) the concentration of charge carriers as a function of the
light intensity can be derived (see Figure b).[24,32] The SSMC results on
MAPbI3/Spiro-OMeTAD have not been included because of the
light instability of the bilayer at higher illumination densities.
In Figured b, these
SSMC results are compared with the calculated concentrations of mobile
charges at 0.3 suns, showing perfect agreement. However, the calculated
values at 1 sun are a factor of 2–3 too high, exceeding 2.0
× 1015 cm–3 in MAPbI3 and 3.0 × 1015 cm–3 in the bilayer
(data points not shown). For MAPbI3, this can be attributed
to the intensity-dependent light degradation, which makes the NT value extracted at 0.3 suns inaccurate for
simulations at higher intensities. In addition, for MAPbI3/C60 it is likely that at higher intensities the extraction and recombination
rates become even closer.
Figure 4
(a) Evolution of the steady-state microwave
conductance dip under
various LED light intensity values. The experimental data points are
indicated by the markers. The solid lines represent the fits from
which the conductivity and corresponding carrier concentrations have
been derived. A decrease of the normalized microwave power is related
to an increased conductivity in the sample, i.e., higher charge carrier
concentration under illumination. (b) Charge carrier concentrations
in MAPbI3 (red) and MAPbI3/C60 (green) experimentally
determined by SSMC measurements (circles) are compared to the simulated
concentrations at 0.3 suns (diamonds), showing excellent agreement.
The background concentration of charge carriers, p0, determined from the fits is also shown as a red square
at the LED intensity of 0 suns.
(a) Evolution of the steady-state microwave
conductance dip under
various LED light intensity values. The experimental data points are
indicated by the markers. The solid lines represent the fits from
which the conductivity and corresponding carrier concentrations have
been derived. A decrease of the normalized microwave power is related
to an increased conductivity in the sample, i.e., higher charge carrier
concentration under illumination. (b) Charge carrier concentrations
in MAPbI3 (red) and MAPbI3/C60 (green) experimentally
determined by SSMC measurements (circles) are compared to the simulated
concentrations at 0.3 suns (diamonds), showing excellent agreement.
The background concentration of charge carriers, p0, determined from the fits is also shown as a red square
at the LED intensity of 0 suns.In view of the fact that our model can accurately
describe the
concentrations at 0.3 suns, the losses for each decay channel can
now be quantified and are presented in Table . For MAPbI3, the decay via trap-mediated
recombination is rather large mainly because of the substantial rise
in NT related to the light instability
of MAPbI3 and absence of a surface passivating agent. For
the MAPbI3/C60 bilayer, we notice that the charge extraction
is limited (<25%) and the carriers mainly decay in the MAPbI3 bulk via second-order and trap-assisted recombination. In
contrast, hole extraction and back recombination dominates the kinetics
in the MAPbI3/Spiro-OMeTAD bilayer. The majority of the
light-induced holes (75%) decays by getting first extracted by the
Spiro-OMeTAD followed by recombination with excess electrons. Despite
the higher concentration of trap states under bias illumination, trap-assisted
recombination is relatively small because of the fast saturation of
almost all NT, followed by slow recombination.
Table 2
Calculated Loss Fractions Using the
Kinetic Parameters from the TRMC Fits at 0.3 sunsa
second order (%)
trap-assisted
(%)
charge extraction (%)
populated NT (%)
QFLS (eV)
MAPbI3
29 (97)
71 (3)
56 (93)
1.12 (1.16)
MAPbI3/C60
54 (36)
11 (3.5)
23 (60.5)
84 (45)
1.15 (1.13)
MAPbI3/Spiro
16 (40)
8 (0.30)
75 (59.7)
99 (100)
1.11 (1.13)
The values are obtained using
the “with bias” fitting parameters of Table . The values in parentheses
are obtained using the “without bias” parameters and
are provided for comparison.
The values are obtained using
the “with bias” fitting parameters of Table . The values in parentheses
are obtained using the “without bias” parameters and
are provided for comparison.From the concentration curves calculated and shown
in Figures S6, also the quasi Fermi level
splitting,
QFLS, corresponding to the upper limit of qVOC of a device, can be calculated usingIn eq , k is the Boltzmann constant, T the temperature, and q the elementary charge; n0 and p0 represent
the thermal equilibrium concentrations of electrons and holes, respectively,
while Δn and Δp are
the photoexcited excess charge carrier concentrations. The intrinsic
carrier concentration, ni, has been evaluated
to be ca. 1 × 105 cm–3. The calculated
QFLS values in bare MAPbI3, in MAPbI3/C60, and
in MAPbI3/Spiro-OMeTAD bilayers under 0.3 suns are reported
in Table . A larger
splitting is observed in MAPbI3/C60 than for the bare MAPbI3, while a clear reduction is obtained for MAPbI3/Spiro-OMeTAD. This can be expected on the basis of the C60 passivation
effect and ionic motion toward the Spiro-OMeTAD interface mentioned
in the above discussion. For the latter, reducing the value of krec is a logical step in order to improve the Voc. Therefore, designing TLs giving rise to
an active heterojunction capable of accepting one type and repelling
the counter charge is essential. Alternatively, reduction of krec could be achieved, for example, by introducing
an interlayer between the perovskite and TL.[33−36] Furthermore, careful tuning of
the band offsets might be a way to influence the rate constants involved.Lastly, our study reveals that the determination of the kinetic
parameters under bias illumination is of utmost importance if we want
to understand the loss mechanisms under device operation. Since some
of the kinetic parameters are varying with light intensity in MAPbI3 and MAPbI3/TL, these parameters cannot be used
for the simulation of device performance directly. As given in parentheses
in Table , the loss
fractions and QFLS values are substantially different in case the
“without bias” parameters of Table are used for the steady-state simulation
at 0.3 suns. In MAPbI3, the strong underestimation of the
trap density would lead to an underestimation of the trap-assisted
recombination contribution, ultimately leading to a higher VOC. For the bilayers, the interfacial processes
are the most affected by BI. Despite the passivation effect of C60,
the electron extraction in MAPbI3/C60 is substantially
reduced under BI. For the MAPbI3/Spiro-OMeTAD, the ionic
migration toward the interface with Spiro-OMeTAD enhances the interfacial
recombination under BI. Moreover, as concluded from the SSMC results,
these effects are likely to be even more pronounced at higher illumination
intensities.To summarize, in this Letter we performed time-resolved
microwave
photoconductance measurements in the presence and absence of bias
illumination in single and bilayers. A kinetic model was used to describe
the kinetics, including the charge generation and charge recombination
and extraction. Owing to the iterative analysis of the three systems
using a broad range of laser intensities, we were able to accurately
determine the kinetic parameters for bare MAPbI3, MAPbI3/C60, and MAPbI3/Spiro-OMeTAD in the presence and
absence of BI. For MAPbI3 we found that the same parameters
can be used under BI except for the trap state concentration, NT, which increases by more than 1 order of magnitude,
reaching 22 × 1014 cm–3. This increment
is related to ionic motion in the MAPbI3 film. Interestingly,
after storage of the MAPbI3 film in the dark for 3 h, NT reverts back to its original value, which
demonstrates the reversibility of this degradation process. For the
MAPbI3/C60 bilayer under BI, we observe only a minor increment
of NT, which shows that C60 hinders the
formation of additional deep trap states. Under BI, only the extraction
rate kext is reduced because of pilling
up of electrons in the C60, which leads to formation of an electric
field over the interface, impeding the extraction process of electrons
into C60.In contrast to MAPbI3/C60 bilayers, the
presence of
Spiro-OMeTAD does not prevent the degradation process leading to an
increase of NT. Furthermore, under BI
the extraction process is reduced, in combination with a 4-fold increase
of krec, which are related to ion accumulation
at the interface. Moreover, we show that to calculate carrier concentrations
for deducing device parameters, like the QFLS, it is important to
use the kinetic parameters found under BI, which is in particular
relevant for the MAPbI3/Spiro-OMeTAD bilayer. This study
adds to the understanding of both the heterojunctions’ interfacial
properties as well as the origin of the light instability in MAPbI3, crucial factors for the performance of perovskite-based
devices.
Experimental Methods
The TRMC is a contactless technique,
whose working principle is
based on the interaction of microwaves with photoexcited charge carriers.[37] In a TRMC measurement, the sample is illumined
by a short laser pulse (3 ns fwhm, 10 Hz) and the light-induced excess
charge carriers absorb a small part of the microwave power resulting
in a slight reduction of the reflected microwave power, which is monitored
by a sensitive microwave detection system. The DC part of the signal
is electronically subtracted using an offset regulator, and the remaining
AC signal is amplified by a broadband amplifier (GHz–kHz).
The changes in measured microwave power, ΔP(t), are related to the changes in photoconductance,
ΔG(t), bywhere K is a predetermined
sensitivity factor.[37] The recombination
pathways revealed by TRMC are not limited to the radiative recombination
observed by commonly applied photoluminescence spectroscopy (PL) nor
by higher-order recombination processes as in transient absorption
(TA). Furthermore, with a slow repetition rate of 10 Hz, all the charges
in the sample have relaxed back to the original state before the next
pulse arrives. A similar TRMC analysis was conducted to extract the
charge carrier dynamics under continuous illumination using a white
LED. With a semitransparent mirror the sample was simultaneously illuminated
with the pulsed laser and the LED. The intensity of the latter was
6.6 mW (ca. 0.3 suns in the visible region), leading to the generation
rate of approximately 6.7 × 1020 charges/cm3 per second. Reproducibility within a single batch of MAPbI3 layers is very good, and variations in signal height and lifetimes
are typically less than 20%; between batches prepared using the same
equipment, the variations increase but are within 50%.
Authors: Piotr Piatkowski; Boiko Cohen; Francisco Javier Ramos; Maria Di Nunzio; Mohammad Khaja Nazeeruddin; Michael Grätzel; Shahzada Ahmad; Abderrazzak Douhal Journal: Phys Chem Chem Phys Date: 2015-06-14 Impact factor: 3.676
Authors: Jaeki Jeong; Minjin Kim; Jongdeuk Seo; Haizhou Lu; Paramvir Ahlawat; Aditya Mishra; Yingguo Yang; Michael A Hope; Felix T Eickemeyer; Maengsuk Kim; Yung Jin Yoon; In Woo Choi; Barbara Primera Darwich; Seung Ju Choi; Yimhyun Jo; Jun Hee Lee; Bright Walker; Shaik M Zakeeruddin; Lyndon Emsley; Ursula Rothlisberger; Anders Hagfeldt; Dong Suk Kim; Michael Grätzel; Jin Young Kim Journal: Nature Date: 2021-04-05 Impact factor: 49.962
Authors: Katarzyna Pydzińska; Jerzy Karolczak; Ivet Kosta; Ramon Tena-Zaera; Anna Todinova; Jesus Idígoras; Juan A Anta; Marcin Ziółek Journal: ChemSusChem Date: 2016-06-02 Impact factor: 8.928
Authors: Wei Zhang; Sandeep Pathak; Nobuya Sakai; Thomas Stergiopoulos; Pabitra K Nayak; Nakita K Noel; Amir A Haghighirad; Victor M Burlakov; Dane W deQuilettes; Aditya Sadhanala; Wenzhe Li; Liduo Wang; David S Ginger; Richard H Friend; Henry J Snaith Journal: Nat Commun Date: 2015-11-30 Impact factor: 14.919