Recombinaison Dynamics photovoltaïques en couches minces de matériaux par résolution temporelle Micro-ondes Conductivity

Résumé

A Time Resolved Microwave Conductivity technique for investigating direct and trap-mediated recombination dynamics and determining carrier mobilities of thin film semiconductors is presented here.

Résumé

A method for investigating recombination dynamics of photo-induced charge carriers in thin film semiconductors, specifically in photovoltaic materials such as organo-lead halide perovskites is presented. The perovskite film thickness and absorption coefficient are initially characterized by profilometry and UV-VIS absorption spectroscopy. Calibration of both laser power and cavity sensitivity is described in detail. A protocol for performing Flash-photolysis Time Resolved Microwave Conductivity (TRMC) experiments, a non-contact method of determining the conductivity of a material, is presented. A process for identifying the real and imaginary components of the complex conductivity by performing TRMC as a function of microwave frequency is given. Charge carrier dynamics are determined under different excitation regimes (including both power and wavelength). Techniques for distinguishing between direct and trap-mediated decay processes are presented and discussed. Results are modelled and interpreted with reference to a general kinetic model of photoinduced charge carriers in a semiconductor. The techniques described are applicable to a wide range of optoelectronic materials, including organic and inorganic photovoltaic materials, nanoparticles, and conducting/semiconducting thin films.

Introduction

Flash-photolysis time-resolved microwave conductivity (FP-TRMC) monitors dynamics of photo-excited charge carriers on the ns-µs timescale, making it an ideal tool for investigating charge carrier recombination processes. Understanding the decay mechanisms of photo-induced charge carriers in thin film semiconductors is of key importance in a range of applications, including photovoltaic device optimization. The induced carrier lifetimes are often functions of induced carrier density, excitation wavelength, mobility, trap density and trapping rate. This paper demonstrates the versatility of the Time Resolved Microwave Conductivity (TRMC) technique for investigating a wide range of carrier dynamic dependencies (intensity, wavelength, microwave frequency) and their interpretations.

Photogenerated charges can modify to both the real and the imaginary parts of the dielectric constant of a material, depending on their mobility and degree of confinement/localization¹. The conductivity of a material is proportional to its complex dielectric constant

where is the frequency of a microwave electric field, and are the real and imaginary parts of the dielectric constant. Thus, the real part of the conductivity is related to the imaginary part of the dielectric constant, and can be mapped onto microwave absorption, while the imaginary part of the conductivity (subsequently referred to as polarization) is related to a shift in the resonance frequency of the microwave field¹.

TRMC offers several advantages over other techniques. For instance, DC photoconductivity measurements suffer from a range of complications arising from contacting the material with electrodes. Enhanced recombination at the electrode/material interface, back injection of charges through this interface, as well as enhanced dissociation of excitons and geminate pairs due to the applied voltage² all lead to distortions in the measured carrier mobilities and lifetimes. In contrast, TRMC is an electrodeless technique which measures the intrinsic mobility of the carriers without distortions due to charge transfer across contacts.

A significant advantage of using microwave power as a probe for carrier dynamics is that, as well as monitoring the decay lifetimes of charge carriers, decay mechanisms/pathways can also be investigated.

TRMC can be used to determine the total mobility³ and lifetime⁴ of induced charge carriers. These parameters can subsequently be used to distinguish between direct and trap-mediated recombination mechanisms^3,5. The dependence of these two separate decay pathways can be quantitatively analyzed as a function of carrier density^3,5 and excitation energy/wavelength⁵. The localization/confinement of induced carriers can be investigated by comparing the decay of the conductivity vs polarizability⁵ (imaginary vs real part of dielectric constant).

Additionally, and perhaps most importantly, TRMC can be used to characterize trap states which act as charge carrier decay pathways. Surface traps, for example, can be distinguished from bulk traps by comparing passivated vs unpassivated samples⁶. Sub-bandgap states can be directly investigated using sub-bandgap excitation energies⁵. Trap densities can be deduced by fitting TRMC data⁷.

Due to the versatility of this technique, TRMC has been applied to study a wide range of materials including: traditional thin film semiconductors such as silicon^6,8 and TiO₂^9,10_, nanoparticles¹¹, nanotubes¹, organic semiconductors¹², material blends^13,14, and hybrid photovoltaic materials^3,4,5.

In order to obtain quantitative information using TRMC, it is crucial to be able to accurately determine the number of absorbed photons for a given optical excitation. Since methods for quantifying absorption of thin films, nanoparticles, solutions and opaque samples differ, the sample preparation and calibration techniques presented here are designed specifically for thin film samples. However, the TRMC measurement protocol presented is very general.

Protocole

1. Sample Preparation

Caution: Some chemicals used in this protocol can be hazardous to health. Please consult all relevant material safety data sheets before any sample preparation takes place. Utilize appropriate personal protective equipment (lab coats, safety glasses, gloves, etc.) and engineering controls (e.g. glovebox, fume hood, etc.) when handling the perovskite precursors, and solvents.

NOTE: The aim of this section is to form a uniform thickness thin film on the substrate. While this procedure is specific to the organo-lead halide perovskite sample, it can be modified for a range of samples and sample preparation techniques including vapor deposition, spin coating and sputtering, etc. The important outcome is a uniform thin film.

1. Cleaning the substrate
   1. Place the quartz (or low iron glass) substrate in an ultrasonic bath of detergent for 30 min.
   2. Repeat ultrasonic treatment with ultrapure water and then with isopropanol.
   3. Place the cleaned substrates under nitrogen plasma for 30 min immediately prior to transfer into a nitrogen glovebox.
2. CH₃NH₃PbI₃ perovskite sample preparation using the interdiffusion method¹⁵
   NOTE: the following steps are performed in nitrogen glovebox.
   1. Add 461 mg of PbI₂ to a sample vial, and transfer to a nitrogen glovebox.
   2. Add 850 µL of anhydrous dimethylformamide (DMF) to 150 µL of anhydrous dimethylsulfoxide (DMSO) to from a mixed 85:15 DMF/DMSO solvent.
   3. Add the PbI₂ to the DMF/DMSO solvent and heat the mixture at 100 °C while stirring with a magnetic stirrer bar until the PbI₂ has completely dissolved.
   4. Filter the PbI₂ solution through a 0.2 µm PTFE filter into a clean sample vial and return to the 100 °C hotplate.
   5. Dissolve 50 mg of CH₃NH₃I in 50 mL of anhydrous isopropanol.
   6. Dispense 80 µL of the hot PbI₂ solution onto the glass substrate (at room temperature) and immediately spin at 5,000 rpm for 30 s to form a thin PbI₂ precursor film.
   7. Inject a 300 µL volume of the CH₃NH₃I solution directly onto the center of the PbI₂ film, and immediately spin coat this solution at 5,000 rpm for 30 s.
      NOTE: This step should be carried out with a single confident dispense of the CH₃NH₃I solution. Be careful to avoid unintended drips as this affects the quality of the resulting film.
   8. Place the sample on a hotplate at 100 °C for 2 h, such that the precursor film crystallizes into a perovskite structure. The resulting CH₃NH₃PbI₃ film should be smooth, with a mirror-like surface and about 250 nm thick.
3. Sample encapsulation
   NOTE: this step is only necessary for samples which suffer from atmospheric degradation.
   1. Dissolve 10 mg of poly(methyl methacrylate) (PMMA) in 1 mL anhydrous chlorobenzene. Spin coat the sample with 50 µL of PMMA solution at 1,000 rpm for 30 s.

2. Sample Characterization

1. Measure sample thickness
   1. Etch a small line on a companion sample. Scan the surface near this etch using a profilometer. Determine the film thickness L.
      NOTE: The sample should be stored in a light free (e.g. covered in Aluminum foil) oxygen-free (e.g. nitrogen) environment until ready for use.
2. Measure the absorption spectrum
   NOTE: The details of this measurement vary depending on the sample (e.g. powders vs opaque films vs semi-transparent films). The following procedure is designed for semi-transparent thin film samples. The aim of this section is to determine the wavelengths of interest to investigate (e.g. determine band-gap, excitonic features, etc.), and to calculate F_a, the fraction of absorbed photons vs incident photons at each wavelength of interest.
   1. Place the sample substrate (e.g. glass slide) in the sample holder of an appropriate spectrophotometer. Record background reflectance (R(λ)) and transmittance (T(λ)) spectra as per the manufacturer's instructions. Note: a reflectance standard such as BaO₄ may also be used to obtain an accurate baseline.
   2. Replace the substrate with the sample and record the reflectance (R(λ)) and transmittance (T(λ)) as per the manufacturer's instructions. Subtract the background measurement to obtain accurate spectra.
      NOTE: For opaque samples, a spectrophotometer with an integrating sphere attachment must be used. The diffuse reflectance is measured as in section 2.2.1-2, however the sample must be placed in at the back of the integrating sphere, as per manufacturer's instructions.
   3. Calculate the absorption coefficient via:
      
      NOTE: Where, d is the thickness of the film in cm.
   4. Calculate the number of absorbed vs incident photons via
      
      NOTE: Make sure the absorption coefficient and sample thickness L have the same units.
   5. Determine wavelengths of interest from the absorption spectrum by inspection. These may include optical transitions or wavelengths at the band edge or in the band tail. Note the F_a at each of these wavelengths.
      NOTE: The following calibration processes should be performed just prior to the experiment.

3. Laser Power Calibration

NOTE: In this section, refer to the optical excitation schematic in Figure 3. Tunable wavelength lasers like OPOs require coupling at each wavelength.

1. Couple the free-space laser into a fiber
   NOTE: If the available laser is already fiber coupled, skip this section.
   NOTE: Off-axis parabolic mirror fiber couplers are achromatic, which means that all wavelengths incident on the mirror are focused to the sample point. As a result, the fiber can be coupled to the free space laser at one wavelength, and does not require adjustments at each wavelength. This step should be done before any other measurements are performed
   NOTE: It is possible to design a TRMC cavity and optical setup using a free space laser, although accurately and reproducibly characterizing the absorbed laser power may be slightly more difficult.
   1. Set the incident wavelength to the desired value (e.g. 750 nm) as per the manufacturer's protocol. For fixed wavelength lasers, this step is unnecessary.
   2. Check the laser beam profile for visible cross-beams. If these exist, use irises to allow only the central Gaussian beam to pass to the fiber coupler.
   3. Align an off-axis parabolic mirror fiber coupler so that the incident laser beam is aligned with the optical axis of the mirror.
   4. Connect the optical fiber to the fiber coupler and to a power sensor. The larger the fiber core, the more light can be coupled into the fiber. A 1 mm core NA 0.48 fiber works effectively.
   5. Maximize fiber coupling at low power by monitoring the output power of the fiber with the power sensor while adjusting the tilt and angle of the fiber coupler. Optimum coupling is achieved when the power measured by the sensor is maximized (i.e. any adjustments of the fiber coupler tilt angle result in a lower power measurement)
      NOTE: If the alignment is poor, it is possible to damage the outer cladding of the fiber. A ticking sound indicates that a hole is being burned in the cladding. In this case, immediately turn off the laser and perform a coarse alignment of the coupler at low power.
   6. Gradually increase the laser power and refine the coupling as in 3.1.5.
2. Measure cavity loss factor
   NOTE: This section should be performed after the fiber coupling procedure outlined in section 3.1.
   1. Measure the power transmitted through the fiber using an appropriate power sensor. This measurement is performed before connecting the fiber into the cavity.
   2. Measure the power at the sample. This is easiest if the cavity is made up of 4 quarter wave plates screwed together (see Figure 4). To do this accurately and reproducibly, unscrew the cavity, place a mask the size of the sample holder at the sample position and measure the laser power reaching the detector through the mask.
   3. Calculate the cavity loss factor by dividing the laser power measured at the fiber by the power measured at the sample. This measurement takes into account geometrical losses as well as losses due to diffusive components in the setup.
   4. Repeat this measurement for each wavelength of interest.

4. Mounting the Sample into the Cavity

1. Place the sample in a Teflon sample holder, designed such that the sample is centered in the cavity once inserted.
2. Insert the sample holder into the cavity at a location of maximum electric field, with the thin film facing the optical input of the cavity. Figure 4 shows a detailed schematic of the cavity and sample holder.

5. Cavity Sensitivity Calibration¹⁴

NOTE: Excess photo generated charge carriers lead to a change in sample conductivity (Sm^-1) which results in a decrease in the microwave power reflected from the cavity . For small changes in conductivity¹⁷, the change in microwave power is proportional to the change in conductivity via a cavity sensitivity factor :

The change in conductivity of the sample is related to the change in the bulk conductance via
NOTE: This calibration is necessary for converting microwave power to charge carrier mobility. If the aim of the study is to compare dynamics or obtain relative results, this calibration is not required.
NOTE: In this section, refer to the microwave detection setup in Figure 5.

1. Connect port 1 of a network analyzer to the circulator input port 1. Connect port 2 of a network analyzer to the point in the circuit just before detection (e.g. to the output of a detection diode or IQ modulation detector). Measure the power reflected from the loaded cavity (i.e. with the sample inserted) as a 2-port S21 measurement, in order to obtain the resonance curve of the circuit.¹⁴
   NOTE: If the cavity has not been matched with the external microwave detection circuitry, the resonance curve will be different for the stand-alone cavity vs the cavity in the circuit. Thus, it is better to measure the resonance not as a one port reflection measurement from the cavity, but rather as a 2-port 'reflection' measurement through the circulator.
   NOTE: The resonance frequency is mainly determined by the geometry of the cavity being used. Typical resonance frequencies for TRMC are found in X-band (~10 GHz) and Q-band (~34 GHz), although any microwave frequency can in principle be used. In this manuscript, we use a cavity with a resonance frequency of ~ 6.5 GHz, which provides a similar microwave response whilst providing a larger sample space when compared with an X-band cavity.
2. Optimize the quality factor, , of the cavity with the tuning screw by observing the resonance dip become deeper and narrower.
   NOTE: Optimizing the Q factor does not necessarily mean maximizing the Q. While increasing the Q factor increases sensitivity, the cavity response time also increases. It may be preferable to reduce sensitivity to obtain higher temporal resolution. If the photo-induced charge carriers significantly modify the dielectric constant of the material, the resonance frequency may also temporally shift outside of the cavity bandwidth if the Q is large, resulting in a distorted power measurement. In these cases, overcoupling the resonator slightly may improve accuracy of the reflected power.
3. Measure and record the optimized resonance curve of the using a network analyzer as described in section 5.1.1.
4. Plot P_reflected/P_incident on a linear scale and fit the baseline corrected figure with a Lorentzian lineshape, as shown in Figure 6.
5. Calculate the loaded quality factor , via:
   
   NOTE: Where is the full width at half maximum (FWHM) of the resonance curve and is the resonance frequency.
6. Calculate the cavity sensitivity factor A (Ω cm) of the cavity via¹⁴:
   
   where  is the ratio of reflected to incident power at the resonance frequency,  is the loaded resonance frequency, is the resonance frequency, is the dielectric constant of the material at the resonance frequency, is the permittivity of free space (F/cm).
   NOTE: This formula assumes the sample fills the whole cavity.
7. Correct the sensitivity factor for sample geometry:
   The following correction factors apply for a thin film sample of size [w × w × L], (L<<d), centered in the cavity at z₀=d/4 (i.e. at the maximum electric field). Here, L is the sample thickness (cm), a and b are the long and short sides of the rectangular cavity respectively and d is the length of the cavity (cm). The geometry corrected sensitivity factor Ã is given by:
   
   where C_z, C_xy are the correction factors due to incomplete filling of the cavity space along the z and xy direction, given by:
   
   

6. Single TRMC Transient Measurement Procedure

1. Determine optimal measurement parameters: manually find signal
   NOTE: Please refer to the experimental schematic presented in Figure 2 before reading the following sections of the protocol.
   NOTE: setting up the microwave detection circuitry can be done either by hand or using the appropriate software. Typically, for each new sample, the measurement parameters (such as resonance frequency, microwave power, trigger position and time-base) are unknown and must be adjusted to identify/optimize the signal. This is usually done manually. Once the signal has been identified, the measurement parameters are then entered into a MATLAB (or other) script used to automate the measurement process.
   1. Tune the laser to a wavelength of interest, as determined in section 2.2.5.
   2. If the laser has an adjustable power setting, set the output power to maximum, as per the manufacturer's instructions. (This may involve manually adjusting a power knob, or may be done via software depending on the laser).
   3. Connect the (already coupled) optical fiber to a power sensor, and measure the laser power transmitted through the fiber using a power meter. The fiber is not connected to the cavity at this stage.
      NOTE: For very short pulsed lasers, this is often best done using thermal (average power) sensors rather than diode sensors, which may undergo temporal saturation or even dielectric breakdown at very high powers.
   4. Use neutral density (ND) filters to attenuate the laser power to a desired power level.
      NOTE: it is possible to set the power to a lower level and not use filters, but a more accurate power reading can be obtained by measuring a high power then attenuating.
   5. Calculate N_ph, the number of absorbed photons/cm²/pulse at this excitation intensity via:
      
      
   6. Connect the fiber to the cavity.
   7. Set up the detection circuitry as shown in Figure 5.
      NOTE: A vector network analyzer was used to perform these measurements; however it is possible to use an alternative microwave detection setup, for example using a microwave diode as a power sensor.
   8. Set the microwave source frequency to the resonance frequency of the loaded cavity, as measured in section 5. For our setup using the network analyzer, this involves enabling the continuous frequency output and manually entering the frequency of the output microwaves.
   9. Set the microwave power to 0 dBm.
   10. Trigger the network analyzer (or alternative detector) using the laser. Determine the trigger offset necessary to capture the rise of the signal with a few microseconds of 'dark' signal before the laser pulse to use as a baseline for fitting. Setting the trigger offset to 1/10 of the signal length works well (e.g. if the signal is 100 µs long, then the baseline trigger should be offset by 10 µs). This involves changing the trigger mode to "external", and adjusting the trigger offset until the signal is found.
   11. Adjust the timebase of the network analyzer (or alternative detector) such that the transient tail is much longer that the initial decay. Often, there is a long tail which persists even when it appears (on a linear scale) that the signal has decayed to the noise floor.
       NOTE: To determine if the timebase used is sufficiently long, record an averaged TRMC transient and then plot on a log-log scale.
2. Measure raw transient
   NOTE: Typically, when obtaining suites of TRMC data, the measurement process is automated by interfacing with the microwave source and detector. In this paper, a home-made MATLAB script has been used to set the microwave output (freq, and power) and also to configure the measurement acquisition (measurement time base, trigger offset, number of averages).
   1. If the measurements are automated, input the microwave frequency and power as well as the acquisition trigger offset and measurement time base which have been determined in the section above into the experiment script.
   2. While continuously pulsing the laser, measure and record a TRMC decay transient on a network analyzer (or alternative detector). Average at least 100 traces (even if the S/N is very high with a single shot measurement) to compensate for shot-to-shot power variations in the pulsed laser. If the measurements are automated, this is done by executing the experiment script.
      NOTE: Averaging may be required to obtain sufficient signal-to-noise, especially for samples with long, small amplitude decay tails such as shown in Figure 7.
      NOTE: Inverted transients, or transients with positive and negative 'lobes', may indicate that the microwave frequency is not at the cavity resonance frequency. Adjust the source frequency until the transient signal is maximized.
   3. Disconnect the fiber from the cavity and cap the optical port. Take a background reading with the same number of averages as in the previous step, with the sample still in the resonator, but no longer being illuminated.
   4. Subtract the background trace from the signal trace.
3. Process raw data into mobility per charge carrier
   1. Calculate change in reflected power via
      
      NOTE: Where is the baseline value of the raw transient (before illumination) and is the raw transient data.
      NOTE: If the detector measures voltage not power (e.g. Diode + oscilloscope), then a scaling factor must be included. The scaling factor is usually quoted by the diode manufacturer; otherwise it may be obtained by performing a calibration of output voltage vs input microwave power.
      
   2. Convert the change in reflected power to mobility per charge carrier (i.e. rescale transient) via:
      
      NOTE: Where  corresponds to the end of the laser pulse,  is the charge of an electron, is the ratio between the short and long dimensions of the cavity and  is number of absorbed photons per cm² and (Ω) related the reflected microwave power to the change in conductance ΔG. This rescaling allows for the meaningful comparison of TRMC transients taken at different laser powers and wavelengths.
      NOTE: is actually the total mobility of electron and holes. However, we cannot distinguish between these contributions using TRMC, and therefore we lump them together for simplicity.
   3. Fit the TRMC trace with an appropriate model.
      NOTE: This is simple if the data follows a single or double exponential form. However, it the data does have a simple form it may be necessary to fit the data to a kinetic model, which involved fitting the solution of an ODE (see Figure 7). The fitting equation/model should be convolved with an instrument response function (e.g. Gaussian centered at t=t_laser with a width corresponding to the response time of the instrument which limits the temporal resolution of the data.)

7. Investigating the Real and Imaginary Components of Conductivity

1. Measuring TRMC traces as a function of microwave probe frequency
   NOTE: The (complex) conductivity dynamics can be deconstructed into the real (conductivity) and imaginary (polarization) components by taking multiple TRMC traces at microwave frequencies spanning the resonance curve of the loaded cavity.
   1. Determine the resonance frequency of the cavity with the sample in the dark from the S21 cavity resonance curve (see Figure 6).
   2. Choose x>20 frequency points along this resonance curve. These points will be used to fit a Lorentzian function, so it is best if there are more points close to the dark resonance frequency f_c (see Figure 9).
   3. Set the excitation wavelength depending on the polarization dynamics of interest (e.g. above bandgap for free carrier polarization, sub-bandgap for trapped charge polarization).
   4. Set the laser power to maximum (this will give the highest S/N).
   5. Measure the laser power out of the fiber. Set the probe microwave frequency to the resonance frequency of the cavity in the dark .
   6. Obtain a TRMC trace as described in section 6. Repeat the measurement described above at a fixed laser intensity for .
2. Frequency data post-processing: deconstruction into real and imaginary parts
   1. Plot TRMC transient power as a function time and probe microwave frequency , as shown in Figure 8.
   2. Plot and , the TRMC power at t=0 and at t=end of laser pulse for each microwave frequency, as shown in Figure 8.
   3. For each slice in time , construct a resonance curve .
   4. Fit this curve with a Lorentzian to obtain the resonance frequency , and the resonant power .
   5. Plot vs to obtain a hysteresis-like polarization evolution plot (see inset in Figure 8).
   6. Calculate the normalized transient frequency and transient power shift via:
      
      
   7. Plot the change in resonance frequency , change in resonance power and change in transient power at the cavity center frequency , as shown in Figure 10.

8. Intensity Dependent Data Suite

1. Tune the laser to a wavelength of interest, as determined in section 2.2.5.
2. Set the laser power to maximum.
3. Measure the laser power out of the fiber.
4. Connect the fiber to the cavity.
5. Obtain a single TRMC transient as outlined in section 6.
6. Insert an ND filter anywhere between the laser and the fiber (either between two irises, or just before the fiber coupler. For lasers with a fiber output, the ND filter must be placed between the fiber output and the cavity optical port).
7. Calculate and record the modified number of absorbed photons as described in 6.1.5.
8. Obtain a single TRMC transient as outlined in section 6.
   NOTE: as the attenuation increases, it will become necessary to increase the number of averages.
9. Repeat 8.6-8.8 for as many combinations of ND filters as required.
   NOTE: Intensity dependencies are often observed over several orders of magnitude. The high power limit is set by the maximum output laser power at a given wavelength. The low power limit is set by the sensitivity of the detection setup.

9. Wavelength Dependent Data Suite

NOTE: In order to compare TRMC transients at different wavelengths, the laser must be calibrated at each wavelength such that then induced carrier concentration is constant.

1. Determine the wavelength which limits the maximum achievable induced charge carrier density N_carriers. This may be limited by the laser power available at that wavelength or by the absorption properties of the sample. For example, when measuring TRMC transients at wavelength spanning the above, inter and sub-bandgap regime, the low absorption at sub-bandgap wavelengths will limit the maximum carrier density.
2. Calculate the laser power necessary to generate this constant reference carrier density N_carriers at each wavelength using:
   
3. Tune the laser to the desired wavelength. Set the laser power to the value calculated in 9.2. Connect the fiber to the cavity. Obtain a single TRMC transient as outlined in section 6. Repeat step 9.3 for each wavelength of interest.

Résultats

 The representative results presented here were obtained from a 250 nm CH₃NH₃PbI₃ thin film sample.

The dynamics of the conductivity can be related to the dynamics of the charge carriers via

Discussion

While the TRMC technique can offer a wealth of information about photoinduced charge carrier dynamics, this is an indirect measurement of conductivity, and therefore care needs to be taken when interpreting results. The TRMC technique measures total mobility, and cannot be used to distinguish between electron and hole mobilities. The underlying assumption that conductivity is proportional to change in reflected power holds only when that change is small (< 5%)¹⁶. Furthermore, if the shift in r...

matériels

Name	Company	Catalog Number	Comments
Hellmanex III detergent	Sigma Aldrich www.sigmaaldrich.com/catalog/product/sial/z805939?lang=en&region=AU	Z805939	Corrosive and toxic.  See SDS.
Lead (II) iodide (99%)	Sigma Aldrich www.sigmaaldrich.com/catalog/product/aldrich/211168?lang=en&region=AU	211168	Toxic. See SDS
Anhydrous dimethylformamide (99.8%)	Sigma Aldrich www.sigmaaldrich.com/catalog/product/sial/227056?lang=en&region=AU	227056	Toxic. See SDS
Anhydrous dimethylsulfoxide (99.9%)	Sigma Aldrich www.sigmaaldrich.com/catalog/product/sial/276855?lang=en&region=AU	276855	Toxic. See SDS
Anhydrous 2-Propanol (99.5%)	Sigma Aldrich www.sigmaaldrich.com/catalog/product/sial/278475?lang=en&region=AU&gclid= COnlgPaw780CFQZvvAod17EA4Q	278475
Methylammonium iodide	Dyesol www.dyesol.com/products/dsc-materials/perovskite-precursors/methylammonium-iodide.html	MS101000	Also sold by Sigma Aldrich
Poly(methyl methacrylate)	Sigma Aldrich	445746
Anhydrous chlorobenzene (99.8%)	Sigma Aldrich www.sigmaaldrich.com/catalog/product/aldrich/445746?lang=en&region=AU	284513	Toxic. See SDS
Equipment	Company	Model	Comments/Description
UV-VIS-NIR spectrophotometer	Perkin-Elmer	Lambda 900
Profilometer	Veeco	Dektak 150
Vector Network Analyzer	Keysight www.keysight.com/en/pdx-x201927-pn-N9918A/fieldfox-handheld-microwave-analyzer-265-ghz?cc=US&lc=eng	Fieldfox N9918A
Tunable wavelength laser	Opotek www.opotek.com/product/opolette-355	Opolette 355
Neutral density filters	Thorlabs www.thorlabs.hk/newgrouppage9.cfm?objectgroup_id=3193	NUK01
Power meter	Thorlabs www.thorlabs.com/thorproduct.cfm?partnumber=PM100D	PM100D
Power sensor	Thorlabs www.thorlabs.com/thorproduct.cfm?partnumber=S401C	S401C
Cavity	Custom built		The cavity used in for this experiment was designed and built in-house.