Edgar Rueda1, Juan Serna2, Jose Ignacio Uribe3,4,5, Daniel Ramírez3, Franklin Jaramillo3, Jaime Osorio4, Hernando García6. 1. Grupo de Óptica y Fotónica, Instituto de Física, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín 050010, Colombia. 2. Grupo de Óptica y Espectroscopía, Centro de Ciencia Básica, Universidad Pontifícia Bolivariana, Cq. 1 No 70-01, Campus Laureles, Medellín 050031, Colombia. 3. Centro de Investigación, Innovación y Desarrollo de Materiales-CIDEMAT, Facultad de Ingeniería, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín 050010, Colombia. 4. Grupo de Estado Sólido, Instituto de Física, Universidad de Antioquia UdeA, Calle 70 No. 52-21, Medellín 050010, Colombia. 5. Ingeniush, Institución Universitaria Salazar y Herrera, Medellín 050034, Colombia. 6. Department of Physics, Southern Illinois University Edwardsville, Edwardsville, Illinois 62026, United States.
Abstract
An F-scan nonlinear spectrometer is used to measure the two-photon absorption coefficient for CH3NH3PbBr3 perovskite films from 690 to 995 nm. This spectrometer uses an electrically focused tunable lens and a tunable femtosecond-pulse laser (Mai Tai-HP) with a resolution of 5 nm. Two-band models and saturation irradiance corrections are used to fit the experimental data. The nonlinear absorption in this wavelength range is of the order of cm/MW. We found that the best agreement between the experimental data, the reported values in the literature, and the theoretical model is obtained for an extended two-band model with irradiance saturation correction.
An F-scan nonlinear spectrometer is used to measure the two-photon absorption coefficient for CH3NH3PbBr3 perovskite films from 690 to 995 nm. This spectrometer uses an electrically focused tunable lens and a tunable femtosecond-pulse laser (Mai Tai-HP) with a resolution of 5 nm. Two-band models and saturation irradiance corrections are used to fit the experimental data. The nonlinear absorption in this wavelength range is of the order of cm/MW. We found that the best agreement between the experimental data, the reported values in the literature, and the theoretical model is obtained for an extended two-band model with irradiance saturation correction.
Lead halide perovskites
have emerged as desirable materials due
to their particular optical and transport properties,[1,2] leading to the fabrication of high-performance solar cells and,
more recently, light-emitting diodes (LEDs)[3,4] and
batteries.[5] The typical structure of a
three-dimensional (3D) perovskite is ABX3, being A an organic
molecule such as methylammonium CH3NH3 (MA),
or formamidinium (FA), or an inorganic cation such as cesium (Cs).
Lead (Pb) is commonly used in the B position, while I, Br, and Cl
are used as X site anions. Combinations of these different atoms have
been used to tune the bandgap and material stability.[6] Metal halide perovskites have received attention due to
significant advances in the increment of efficiency in photovoltaic
devices,[7] the defect-tolerant characteristic
produced onto the material structure, and remarkable optoelectronic
properties such as high absorption coefficient and high photoluminescence
in the linear regime.On the other hand, nonlinear optical properties
have been less
studied, but reports show large third-order optical nonlinearities
on thin-film halide perovskites; thus, there is enormous viability
for applications in photonic devices.[8−12] In particular, Zhou et al.[8] listed the measured values of two-photon absorption (TPA) for MAPbBr3 perovskites found in the literature, with values in the order
of cm/GW for single crystals and in the order of cm/MW for films.
The nonlinear optical measurements in these reports were made for
a specific laser wavelength, yet it is desirable to measure these
properties over a broader range of wavelengths to analyze some of
the mechanisms that contribute to the nonlinear properties. In this
work, we have been able to measure the nonlinear two-photon absorption
(TPA) β of CH3NH3PbBr3 thin-film
perovskite in the near-infrared band, from 690 to 995 nm with a step
of 5 nm using a recently proposed nonlinear absorption spectrometer
(NAS) reported in ref (13), which is based on the TF-scan technique.[14,15] The first part of Section explains the technique used to fabricate the samples and
present the physical and linear optical properties. In the second
part of Section ,
we explain the working principle of the nonlinear spectrometer. In Section , first, we present
the experimental results for the nonlinear two-photon absorption,
and, second, we fit the data using two-band models. Finally, we analyze
the results and give conclusions.
Materials and Methods
Fabrication and Characterization Methods of
Perovskite Films
For this work, films were prepared according
to the method reported in ref (5). Methylammonium bromide (MABr) from dyesol was used as
an organic cation. Dimethyl sulfoxide (DMSO, Sigma-Aldrich) and N,N-dimethylformamide (DMF, Alfa Aesar)
were used as solvents, with lead bromide (PbBr2) (Alfa
Aesar) as the lead source. To obtain MAPbBr3, the precursor
solution was deposited on top of 2.5 cm × 2.5 cm glass substrates
by spin coating at 4000 rpm for 25 s. After 10 s of spin coating,
500 μL of diethyl ether was dropped to remove the DMF quickly.
The films were then annealed at 65 °C for 1 min plus 100 °C
for 10 min. Absorption measurements were taken in a Cary 100 Varian
X-ray diffractogram in a PANalytical diffractometer. Samples were
scanned from 2θ = 5 to 60° in a Bragg-Brentano geometry,
using Cu Kα (1.5408 Å) radiation with a step size of 0.04°
and a speed of 5 degree/min. Figure a shows the absorption spectrum of the MAPbBr3 film; the particular excitonic characteristic of the Br perovskite
is observed near 521 nm. The absorption values near high wavelengths
can be attributed to scattering due to the film’s roughness.
The Tauc plot from the absorption data is presented in the inset.
By extrapolating the linear region of the absorption coefficient,
the electronic bandgap energy is estimated to be 2.31 ± 0.01
eV. Figure b shows
the characteristic signal of MAPbBr3 perovskite in its
cubic phase. A scanning electron microscopy (SEM) image of a MAPbBr3 film fabricated with the same technique can be observed in
Figure 1c in ref (5), showing a smooth morphology with faint grain boundaries.
Figure 1
(a) Absorbance
of MAPbBr3; the inset shows the Tauc
plot with the calculated energy gap. (b) XRD pattern of the MAPbBr3 films.
(a) Absorbance
of MAPbBr3; the inset shows the Tauc
plot with the calculated energy gap. (b) XRD pattern of the MAPbBr3 films.
Nonlinear Optical Spectrometry in the Near-Infrared
Region
A simplified scheme of an F-scan nonlinear spectrometer[13] is depicted in Figure . The laser pulse is modulated with an optical
chopper and filtered with a computer-controlled neutral filter (NF).
The light then impinges onto an electrically focused tunable lens
(EFTL) that focalizes and defocalizes the beam on the thin-film sample
of study. The sample is placed at a fixed position ds inside the range of the EFTL. All light transmitted
through the sample, including scattered light, is collected and detected
with a lens (L1) and an integrating sphere (D1). This light is then
used to determine the two-photon absorption (TPA) coefficient.
Figure 2
Experimental
setup for the nonlinear spectrometer. (Laser source)
Mai Tai spectra-physics tunable pulsed laser, NF is the neutral density
filter, OC is the optical chopper, EFTL is the electrically focused
tunable lens, and M1 is a mirror. The inset shows the experimental
parameters used in the theoretical calculation for TPA.
Experimental
setup for the nonlinear spectrometer. (Laser source)
Mai Tai spectra-physics tunable pulsed laser, NF is the neutral density
filter, OC is the optical chopper, EFTL is the electrically focused
tunable lens, and M1 is a mirror. The inset shows the experimental
parameters used in the theoretical calculation for TPA.For the experimental implementation, we used a
Mai Tai tunable
laser with a repetition rate of 80 MHz, an average pulse width of
75 fs, and laser emission from 690 to 995 nm, with a resolution of
5 nm. Respecting the use of high repetition lasers in measurements
of TPA, several studies have addressed concerns about the correctness
of the measurement,[16,17] particularly regarding the existence
of cumulative thermal effects due to linear absorption.[16,18−21] To address this problem, blanking has been suggested.[18,19,22,23] Blanking allows the material to transfer the heat before a new train
of pulses arrives by blocking the laser beam periodically. Thus, because
we are already using a 50% duty cycle optical chopper to modulate
light for the lock-in amplifier, as stated by Nag et al.,[23] to avoid thermal effects the chopper frequency
has to be greater than 4D/2w02, where D is the thermal diffusion coefficient and w0 is the beam waist at the sample. In our experiment, w0 ≈ 0.016 mm, D = 0.145
mm2/s,[24] and the frequency used
is approximately 1130 Hz. Possible effects regarding light polarization[19,25] were not addressed in this work. At the entrance surface of the
sample, the average power was 20 mW and the irradiance varied as shown
in Figure . The EFTL
is an OPTOTUNE-1030, controlled by an OPTOTUNE lens driver that gives
a maximum current of 300 mA with a resolution of 0.1 mA. We used an
integrating sphere to measure the transmitted laser light. The light
collected by the integrating sphere is sent to a STANFORD RESEARCH
830 dual-channel lock-in amplifier, controlled through a general purpose
interface bus (GPIB).
Figure 3
Irradiance I0 at the entrance
surface
of the sample as a function of wavelength. The blue dashed line corresponds
to the saturation irradiance Isat for
MAPbBr3.
Irradiance I0 at the entrance
surface
of the sample as a function of wavelength. The blue dashed line corresponds
to the saturation irradiance Isat for
MAPbBr3.The nonlinear absorption spectrometer uses an electronically
focused
tunable lens (EFTL), with tunable focal distance f, as a dynamic system to generate, for each wavelength, the corresponding
transmittance signal of an F-scan setup at two particular points:
the point of maximum absorption (z = ds – f = 0), which corresponds
to high-intensity (HI) irradiation, and the point of low-intensity
(LI) irradiation (z = ds – f → ∞), the region where
nonlinear effects are negligible. Using the conventional Z-scan open-aperture
expression for the transmittance,[26] we
can obtain an expression for the transmittance of light through the
sample as a function of z = ds – f:where Io is the
irradiance in front of the sample, R = (1 – n)2/(1 + n)2 is the
reflection coefficient at normal incidence, n = 2.5
is the typical refractive index of the perovskite samples, Leff = (1 – exp(−αL))/α is the effective length, α = 450 cm–1[27] is the linear absorption
coefficient (its effect is not significant and will be taken as constant
in the whole wavelength range), L = 1 μm is
the sample thickness, and , with zo being
the Rayleigh range.When the conditions for HI and LI are applied
in the transmittance
equation (eq ), we can
find an expression for TPA as a function of wavelength λSaturation of the TPA coefficient has been
observed due to irradiance saturation.[27−29] To take into account
this effect, we use eq and the saturation value Isat = 0.57
GW/cm2 reported by Liu et al.[27]where β0 is the nonsaturated
TPA coefficient.
Results and Discussion
Experimental Nonlinear Two-Photon Absorption
The experimental TPA coefficients obtained with eq correspond to the red dots in Figure . If we consider
the correction proposed by Liu et al.[27] for a saturation irradiance of 0.57 GW/cm2, using eq , the corrected TPA coefficient
corresponds to the black dots in Figure . As shown in Figure , the correction scales the value of TPA
by an approximately constant factor. Using the common uncertainty[30] measured for CdS in a previous study,[13] for both curves, the estimated uncertainty is
±0.4 cm/MW; the maximum value of TPA is around two-thirds of
the energy gap, as expected.
Figure 4
Two-photon absorption for a thin film of MAPbBr3 perovskite,
with a thickness of 1 μm. Black dots correspond to TPA with
the saturation irradiance correction of eq . Red dots correspond to TPA without saturation
irradiance correction.
Two-photon absorption for a thin film of MAPbBr3 perovskite,
with a thickness of 1 μm. Black dots correspond to TPA with
the saturation irradiance correction of eq . Red dots correspond to TPA without saturation
irradiance correction.
Nonlinear Two-Photon Absorption Model
For MAPbI3, Wei et al.[31] report
experimental TPA measurements without the characteristic maximum commonly
observed in zinc blended semiconductors crystals at 0.7 times the
bandgap energy of the material. Thus, they included relativistic effects
induced by spin–orbit coupling to model this lack of a maximum.
Nevertheless, by inspection of Figure , it is clear that for our MAPbBr3 films,
a maximum value of TPA exists around 0.7 times the bandgap energy.
For this reason, we used two models based on the two-band model (TBM)
presented in Figure . In this model, we take into account a valence band with three bands
corresponding to a light-hole band (LH), a heavy-hole band (HH), and
a split-off band (SO). We also include transitions onto the conduction
band (CB) and a possible virtual conduction band (VCB). The first
model, called the two-band exciton model (TBEM), only considers allowed–forbidden
(a–f) or forbidden–allowed (f–a) transitions,
and includes a scaling law proposed by Van Stryland et al.,[32,33] and an exciton effect correction for single crystals proposed by
Ohara et al.[34]Equation corresponds to the TBEM,where A is the scaling factor
for β, Eg is the bandgap energy
in eV, ℏω is the photon energy in eV, Ep is the Kane momentum energy (approximately 20 eV for
direct bandgap materials), and C is the Sommerfeld
factorwhere and Eb is the
exciton binding energy in eV.
Figure 5
Assumed band structure as a zinc-blende to calculate
the contribution
to the TPA. The model includes a double-degenerate valence band with
a light-hole (LH), heavy-hole (HH), and a split-off band (SO). In
addition, in the conduction band, we proposed a virtual conduction
band (VCB) to allow a forbidden–forbidden (f–f) transition.
In the figure, possible transitions that may take place during the
nonlinear absorption are shown.
Assumed band structure as a zinc-blende to calculate
the contribution
to the TPA. The model includes a double-degenerate valence band with
a light-hole (LH), heavy-hole (HH), and a split-off band (SO). In
addition, in the conduction band, we proposed a virtual conduction
band (VCB) to allow a forbidden–forbidden (f–f) transition.
In the figure, possible transitions that may take place during the
nonlinear absorption are shown.The second model proposed by Garcia et al.,[35] named the generalized TBM (GTBM), includes allowed–allowed
(a–a), a–f, f–a, and forbidden–forbidden
(f–f) transitions; some examples of these transitions are sketched
in Figure : 1 for
f–f, 2 for a–a, 3 for f–a, and 4 for a–f. Equation corresponds to the
GTBMwhere n = 0, 1, or 2 correspond
to a–a, a–f (or f–a), and f–f transitions,
respectively. f ≤
1 is a numerical factor that depends on the angular averages of the
interband matrix elements that are going to be used here as fitting
parameters.Using the nonlinear least square method (python
scipy.optimized.curve_fit),
we have fitted the experimental data restricting the value of the
bandgap energy to one-standard deviation (2.30–2.32 eV) and
allowing the scaling factor to be as much as 40% below the accepted
range (between 1940 and 5200).[36] If we
consider the irradiance saturation of 0.57 GW/cm2 and use
an exciton binding energy of 20 meV,[37] the
TBEM model will predict the blue dash-dotted curve of Figure for parameters A = 1880 cm/MW and Eg = 2.30 eV. The scaling
factor A has the expected numerical value but in
cm/MW. To evaluate the quality of the fit, we calculated the reduced
chi-squared statistic, finding a χν2 = 1.6, with a probability of finding
a better fit of more than 99%, corresponding to a very poor fitting.
In contrast, the GTBM model predicts the red curve with reduced chi-square
statistic of χν2 = 0.6, corresponding to a probability of finding
a better fit of only 2%; thus, it is an excellent fit. The fitting
parameters are A = 2360 cm/MW, Eg = 2.30 eV, f1 = 0.13, f2 = 0.77, and f3 = 0.24, meaning that the main contribution is from the a–f
and f–a transitions, while the a–a and f–f transitions
contribute less. Again, the scaling factor A has
the expected numerical value but in cm/MW.
Figure 6
Fitting of the experimental
(black dots) TPA coefficients corrected
with eq (black dots
in Figure ). Fit with
a TBEM model (blue dashed line) and a GTBM model (red line).
Fitting of the experimental
(black dots) TPA coefficients corrected
with eq (black dots
in Figure ). Fit with
a TBEM model (blue dashed line) and a GTBM model (red line).Now, when ignoring any possible irradiance saturation,
the fitting
result can be seen in Figure . Using an exciton binding energy of 20 meV,[37] the TBEM model will predict the blue dash-dotted curve
for parameters A = 1182 cm/MW and Eg = 2.31 eV. The scaling factor A is
below the expected numerical value. The reduced chi-squared statistic
is χν2 = 1.7, with a probability of finding a better fit of more than 99%,
which corresponds to a very poor fit. The GTBM model predicts the
red curve with a reduced chi-square statistic of χν2 = 1.0, corresponding
to a probability of finding a better fit of only 62%; thus, it is
a poor fit. For this case, the fitting parameters are A = 2100 cm/MW, Eg = 2.30 eV, f1 = 0.10, f2 = 0.22,
and f3 = 0.93, meaning that the main contribution
is from the f–f transition.
Figure 7
Fitting of the experimental (black dots)
TPA coefficients without
saturation correction (red dots in Figure ). Fit with a TBEM model (blue dash-dotted
line) and a GTBM model (red line).
Fitting of the experimental (black dots)
TPA coefficients without
saturation correction (red dots in Figure ). Fit with a TBEM model (blue dash-dotted
line) and a GTBM model (red line).On behalf of the scattering of the data around
the fitting curves,
the smaller chi-square statistic, and the fact that an a–f(f–a)
transition is more plausible than an f–f transition, we believe
that the correct experimental values correspond to those with irradiance
saturation correction (Figure ), and the correct model corresponds to the GTBM. Liu et al.[27] reported a TPA of β0 = 5.5
cm/MW for a MAPbBr3 film with a thickness of 0.38 μm
at 800 nm. Although bigger, our value is of the same order, β0 = 7.8 ± 0.4 cm/MW. Because Liu et al. do not report
any uncertainty, we follow the rule of Hughes and Hase[30] and take 0.1 cm/MW for the uncertainty in the
value reported by Liu et al., which becomes 5.5 ± 0.1 cm/MW.
We find that measuring the statistical distance between the values
is 5.6 deviations; thus, they cannot be considered equal without a
statistical doubt. Despite the disagreement with the value reported
by Liu et al., it is important to remember that they did not report
an uncertainty; if we suppose a 15% relative error, like in our data,
the statistical distance reduces to only 2.5 deviations.
Conclusions
In conclusion, we have
obtained an experimental dispersion curve
for the two-photon absorption coefficient of MAPbBr3 three-dimensional
hybrid perovskite in a wavelength range of 690–995 nm, using
a nonlinear absorption spectrometer based on an F-scan technique.
We have found that the experimental TPA values corrected for irradiance
saturation give the best possible fit, agreeing with the accepted
fitting, and experimental parameters. We have found that the generalized
two-band model of Garcia et al.[35] agrees
with the measured bandgap and TPA values. Finally, the result shows
that the most dominant contributions are from the a–f and f–a
transitions but that the f–f and a–a transitions are
not negligible.
Authors: Tomas Leijtens; Samuel D Stranks; Giles E Eperon; Rebecka Lindblad; Erik M J Johansson; Ian J McPherson; Håkan Rensmo; James M Ball; Michael M Lee; Henry J Snaith Journal: ACS Nano Date: 2014-07-01 Impact factor: 15.881