Abstract
In this work, a fully tin‐based, mixed‐organic‐cation perovskite absorber (FA)x(MA)1− xSnI3 (FA = NH2CH = NH2 +, MA = CH3NH3 +) for lead‐free perovskite solar cells (PSCs) with inverted structure is presented. By optimizing the ratio of FA and MA cations, a maximum power conversion efficiency of 8.12% is achieved for the (FA)0.75(MA)0.25SnI3‐based device along with a high open‐circuit voltage of 0.61 V, which originates from improved perovskite film morphology and inhibits recombination process in the device. The cation‐mixing approach proves to be a facile method for the efficiency enhancement of tin‐based PSCs.
Keywords: cation mixing, lead‐free, perovskite solar cells, power‐conversion efficiency, tin‐based perovskites
1. Introduction
Over the past few years, perovskite solar cells (PSCs) have emerged as a rising star in the field of solar cells. The power conversion efficiency (PCE) of PSCs has been boosted from an initial 3.8%1 to an astounding 22.1%,2 which benefitted from the merits of lead (Pb) halide materials (APbX3, A = Cs+, CH3NH3 +, NH2CH = NH2 +, etc.; X = I−, Br−, Cl−), such as high absorption coefficient,3, 4 small exciton binding energy,5, 6 and long carrier diffusion lengths.7, 8 However, the bandgaps of Pb‐based perovskites are normally larger than 1.4 eV, which is not ideal for approaching the Shockley–Queisser limit (33%) that corresponds to a bandgap of 1.34 eV.9, 10 Tin (Sn)‐based perovskites, being structurally similar to their Pb‐based counterparts, have attracted wide attention recently. With slightly narrower bandgaps (≈1.3 eV) compared to their Pb‐based counterparts,11, 12 Sn‐based perovskites promise higher short‐circuit current densities (J sc) as well as a theoretical PCE limit that is very close to 33%. However, the efficiency of Sn‐based PSCs, though outperforming other Pb‐free candidates, still lags behind Pb‐based ones, which can be attributed to several reasons. The easy oxidation of Sn2+ to Sn4+, due to the lack of inert pair effect as in Pb2+, causes severe device deterioration in ambient environment. The low formation energy of Sn vacancies (V Sn) often results in high‐doped hole concentrations (i.e., up to 1019 cm−3 in polycrystalline films) in Sn‐based perovskites,13, 14 leading to severe carrier recombination in the solar cells. Besides, the rapid reaction between SnI2 and organic ammonium salts amplifies the difficulty in controlling film morphology via solution processing.15 Moreover, the functional layers (i.e., hole‐/electron‐transport layer) inherited from Pb‐based PSCs may bring about poor energy level alignment and device instability in Sn‐based devices, which further limit their performance.
Since 2014, some important progress has been made in this field. For example, SnF2, as an additive, has been found to effectively suppress the doped hole density in Sn‐based perovskites and improve device stability and reproducibility.16, 17 The use of dimethyl sulfoxide (DMSO) as the precursor solvent has proven to be crucial in acquiring homogeneous films, as it forms a SnI2·3DMSO intermediate phase that retards the rapid crystallization of Sn‐based perovskites.18 Seo and co‐workers employed a SnF2‐pyrazine complex to improve the morphology of FASnI3 films and obtained a PCE of 4.8%.19 There are also reports on adopting more suitable device structures for Sn‐based PSCs. Yan and co‐workers adopted an inverted structure for FASnI3‐based PSCs, and boosted the PCE to 6.22% by employing SnF2 additives and diethyl ether dripping in the fabrication.20 Recently, Ke et al. employed a TiO2–ZnS cascade electron transport layer to match the high conduction band minima (CBM) of FASnI3 and enhanced the open‐circuit voltage (V oc) of the device.21
Composition engineering has proven to be an effective way to tailor the properties of perovskites and enhance the performance of PSCs due to the easily adjusted composition of these materials. The mixing of the monovalent cations is one of the most commonly employed methods in the composition engineering of Pb‐based perovskites22, 23, 24 and Pb/Sn‐based binary perovskites,25, 26, 27 which combines the merits of perovskites with different cations. To the best of our knowledge, there has been no report by now on the composition engineering of purely Sn‐based perovskites.
In this article, we report the use of composite perovskites (FA)x(MA)1− xSnI3 (FA = NH2CH = NH2 +, MA = CH3NH3 +) as the light‐harvesting layers in Pb‐free PSCs. SnF2 is employed as an additive in the perovskite precursors with DMSO as the solvent. The (FA)x(MA)1 −xSnI3 films are deposited via a one‐step method, and a series of experiments is conducted to investigate the impact of organic‐cation mixing on their structural and optical properties. To study the performance of these perovskites in solar cells, devices with the structure of indium tin oxide (ITO)/poly(3,4‐ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS)/perovskite/C60/bathocuproine (BCP)/silver (Ag) were fabricated. We demonstrate that cation mixing can effectively enhance the photovoltaic performance, especially the V oc, of Sn‐based PSCs via improving the perovskite film morphology and inhibiting carrier recombination in the devices. Consequently, we achieved an optimal PCE of 8.12% for the device based on (FA)0.75(MA)0.25SnI3 with 10 mol% SnF2 additive, along with a V oc of 0.61 V, a J sc of 21.2 mA cm−2, and a fill factor (FF) of 62.7% under forward scan mode. The (FA)0.75(MA)0.25SnI3‐based device also exhibited high reproducibility with an average PCE of 7.29% ± 0.55% for 30 devices.
2. Result and Discussion
The (FA)x(MA)1 −xSnI3 (x = 0.00, 0.25, 0.50, 0.75, and 1.00) films are deposited via a one‐step procedure, where chlorobenzene is added as the antisolvent during the spin‐coating process to induce fast crystallization of the perovskites, while DMSO was used as the solvent of the Sn‐based perovskite precursor for the formation of high‐quality films. Meanwhile, SnF2 was included in the precursor as an additive, as it is reported to suppress the doped hole density in Sn‐based perovskites.16, 17 To investigate the intercalation of FA and MA cations in our mixed‐cation perovskites, we measured the X‐ray diffraction (XRD) patterns of these perovskite films on ITO/PEDOT:PSS substrates (Figure 1 a). The main peaks are located at around 14° and 28° for MASnI3 and the mixed‐cation perovskites, which can be ascribed to the (101) and (202) lattice planes. For the FASnI3 film, the (101) and (202) peaks become much weaker, while the (201) peak at around 24° becomes the highest. Only one peak is observed for each lattice planes for the mixed‐cation perovskites, indicating that the FA and MA cations are evenly distributed in the lattices rather than forming phases of different species. Moreover, the diffraction angles decrease continuously for the (101) and (202) peaks as FA content increases (Figure 1b). The peak shift toward lower diffraction angles suggests the expansion in the lattice parameters of (FA)x(MA)1 −xSnI3, which is probably caused by the gradual replacement of the smaller MA cations by the larger FA cations.
The impact of cation mixing on the optical properties of the perovskites was then investigated. We measured the absorption spectra of the (FA)x(MA)1 −xSnI3 films on quartz substrates (Figure 1c). The absorption onsets of the Sn‐based perovskites are quite indistinct, which may be ascribed to the formation of sub‐bandgap states as a result of the oxidation of Sn2+ during the measurement in air,12, 27 making it difficult to determine their optical bandgaps. Therefore, we obtained the steady‐state photoluminescent (PL) spectra of the encapsulated perovskite films (Figure 1d) to access their bandgaps, which calculated from the PL emission peaks are 1.26, 1.28, 1.30, 1.33, and 1.36 eV for x = 0.00, 0.25, 0.50, 0.75, and 1.00, respectively, showing a growing trend as the FA contents increases. The valence band maxima (VBM) of these perovskites were deduced from their ionization potentials obtained by photoelectron spectroscopy (Figure S1, Supporting Information), and the CBM were calculated accordingly form their bandgaps and VBM values (summarized in Figure 2 b). We noticed that some studies have reported the VBM of FAPbI3 to be −5.9 to −6.0 eV,20, 28 which is much lower than our result (−4.88 eV). Since Sn‐based perovskites are more prone to oxidation, their VBM are expected to be higher than that of their Pb‐based counterparts (≈−5.4 eV). We measured the VBM of FASnI3 at different times after the film is exposed to air (Figure S2, Supporting Information), which increased continuously and reached −5.71 eV after 99 min. XRD patterns of the perovskite films measured in ambient environment show positive shifts for the (101) and (202) peaks along with time (Figure S3, Supporting Information), which can be attributed to the oxidation of Sn2+ to Sn4+.29 Therefore, we speculate that oxidation may cause the lowering of their VBM and that the −5.9 to −6.0 eV results may be obtained after the FASnI3 film is heavily oxidized. It is also worth noting that the VBM values of many papers regarding FASnI3 or MASnI3 have reported their VBM to be around −4.8 eV,12, 15, 21, 30 which are in good agreement with our results. We herein emphasize the importance to minimize oxidation during the VBM measurements of Sn‐based perovskites.
The schematic device structure and the band alignment diagram of the (FA)x(MA)1 −xSnI3‐based PSCs are illustrated in Figure 2. Our devices consist of an ITO transparent electrode, a PEDOT:PSS hole‐transport layer (48 nm), a perovskite layer (144 ± 6, 149 ± 6, 151 ± 6, 151 ± 6, and 150 ± 6 nm for x = 0.00, 0.25, 0.50, 0.75, and 1.00, respectively) as the light absorber, an electron‐transport C60 layer (50 nm), a hole‐blocking BCP layer (8 nm), and a Ag back electrode (100 nm). As suggested by previous research, the work function of PEDOT:PSS can be shifted to 4.7–4.8 eV after the perovskite layer is deposited via one‐step method, since the surface of PEDOT:PSS is reduced by the organic ammonium salts in the perovskites.31, 32 Therefore, it is plausible to speculate that the work function of PEDOT:PSS is more or less lowered during the perovskite deposition, alleviating its mismatch with the VBM of the Sn‐based perovskites (around −4.8 eV). However, the huge misalignment between the CBM of these perovskites and the lowest unoccupied molecular orbital energy level of C60 may be disadvantageous for obtaining a higher V oc. We believe that finding more suitable electron transport materials for Sn‐based PSCs should be one of the focuses in future research.
To elucidate the impact of the SnF2 concentration on device performance, we deposited (FA)0.75(MA)0.25SnI3 films using precursor solutions with different SnF2 molar ratios and fabricated corresponding devices. The photovoltaic parameters and the current density–voltage (J–V) curves of the devices are shown in Table S1 of the Supporting Information and Figure 3 a, respectively. As is depicted in the scanning electron microscope (SEM) images (Figure S4, Supporting Information), the SnF2‐free film shows the smallest grain size and has a high density of pinholes, resulting in a very poor average PCE of 1.31% ± 0.19%. As the SnF2 molar ratio increases, an enhancement of grain size can be observed. The film becomes pinhole‐free when the SnF2 amount reaches 10 mol%, and the corresponding device shows an optimal performance. However, with higher SnF2 amounts, phase separation becomes evident and pinholes reappear, resulting in a reduction in photovoltaic parameters. The influence of absorber layer thickness on device performance was also studied. As shown in Table S2 of the Supporting Information and Figure 3b, the devices with a 150 nm thick perovskite layer exhibit optimal performance. Therefore, we chose a SnF2 molar ratio of 10 mol% and an absorber layer thickness of 150 nm for later perovskite deposition and device fabrication.
We fabricated devices based on perovskites with different FAI/MAI ratios and measured their J–V curves accordingly under the simulation of AM 1.5G, 100 mW cm−2 under forward scan mode. The photovoltaic parameters are summarized in Table 1 . The performance of the MASnI3‐based device is relatively inferior, with an average PCE of 3.61% ± 0.32%. As the FA content increases, the V oc and FF of the devices are gradually improved as compared to the MASnI3‐based devices, resulting in an enhancement in PCE. For the FASnI3‐based devices, the average FF is comparable to that of the (FA)0.75(MA)0.25SnI3‐based devices, while the average V oc is reduced compared to the (FA)0.50(MA)0.50SnI3‐ and (FA)0.75(MA)0.25SnI3‐based devices, resulting in an average PCE of 5.93% ± 0.62%. The highest average PCE of 7.48% ± 0.52% was observed for the devices based on (FA)0.75(MA)0.25SnI3. The J–V curves of the champion devices are shown in Figure 3c. As the FA concentration is enhanced, the series resistance of the devices is gradually lowered, while their shunt resistance increases (estimated from the reciprocals of the slopes at the V oc and J sc points of the J–V curves, respectively).
Table 1.
Perovskitea) | V oc [V] | J sc [mA cm−2] | FF (%) | PCE (%) | |
---|---|---|---|---|---|
MASnI3 | Champion | 0.46 | 21.4 | 42.7 | 4.29 |
Average | 0.46 ± 0.03 | 20.0 ± 0.9 | 39.2 ± 4.0 | 3.61 ± 0.32 | |
(FA)0.25(MA)0.75SnI3 | Champion | 0.48 | 20.7 | 45.2 | 4.49 |
Average | 0.47 ± 0.01 | 20.3 ± 0.4 | 44.3 ± 0.9 | 4.25 ± 0.15 | |
(FA)0.50(MA)0.50SnI3 | Champion | 0.53 | 21.3 | 52.4 | 5.92 |
Average | 0.52 ± 0.01 | 19.9 ± 1.1 | 52.7 ± 4.1 | 5.43 ± 0.40 | |
(FA)0.75(MA)0.25SnI3 | Champion | 0.61 | 21.2 | 62.7 | 8.12 |
Average | 0.58 ± 0.03 | 21.0 ± 0.5 | 61.9 ± 1.8 | 7.48 ± 0.52 | |
FASnI3 | Champion | 0.48 | 21.3 | 64.6 | 6.60 |
Average | 0.48 ± 0.01 | 20.9 ± 0.4 | 58.8 ± 5.8 | 5.93 ± 0.62 |
The statistical data in this table including average values and standard deviations are calculated from 12 separate devices for each perovskite composition.
The champion (FA)0.75(MA)0.25SnI3‐based device exhibited a maximum PCE of 8.12% at forward scan, along with a V oc of 0.61 V, a J sc of 21.2 mA cm−2, and an FF of 62.7%. A small hysteresis is observed for the same device as it displays displayed a PCE of 7.74%, a V oc of 0.61 V, a J sc of 21.0 mA cm−2, and an FF of 60.4% at reverse scan (Figure 4 a). Also, the J–V curves measured at different scan rates show negligible differences (Figure 4b) and small hysteresis (Figure S5 and Table S3 in the Supporting Information). Furthermore, the integrated J sc of the encapsulated (FA)0.75(MA)0.25SnI3‐based device obtained from the incident photon‐to‐electron conversion efficiency (IPCE) spectrum is 19.8 mA cm−2, which validates the J sc obtained from J–V scans (Figure 4c). (In comparison, an integrated J sc of 18.9 mA cm−2 was measured in air for the device without encapsulation, as shown in Figure S6 in the Supporting Information.) The best‐performing (FA)0.75(MA)0.25SnI3‐based device displays displayed a steady‐state photocurrent of ≈17.0 mA cm−2 over a period of 200 s at a bias of 0.46 V under 100 mW cm−2 AM 1.5G irradiation, which corresponds to a steady‐state output power of ≈7.8% (Figure 4d). We also fabricated 30 devices in several batches to testify the reproducibility of our (FA)0.75(MA)0.25SnI3‐based devices. As depicted in the PCE histogram in Figure 4e, the average PCE of the 30 devices is 7.29% ± 0.55%, with an average V oc of 0.57 ± 0.02 V, an average J sc of 20.7 ± 0.6 mA cm−2, and an average FF of 61.6% ± 2.5% under forward scan mode, revealing the high reproducibility of our device fabrication. Also, the (FA)0.75(MA)0.25SnI3‐based device stored in a nitrogen‐filled glovebox maintained ≈80% of its original PCE over a period of 400 h (Figure 4f).
To illustrate the impact of perovskite film quality on device performance, we examined the morphology of (FA)x(MA)1 −xSnI3 films using SEM (Figure 5 ). The MASnI3 film exhibits a more continuous distribution of perovskites without much obvious grain boundaries. When the content of FA was enhanced, the grain boundaries gradually became more evident, and the FASnI3 film shows crystal grains with sharp edges and clear boundaries. At lower FA contents (x = 0.00, 0.25, and 0.50), some white grains are found in the films, which may be ascribed to the phase separation induced by SnF2.19, 27 These films also exhibit incomplete coverage with a few pinholes, which may explain the low FF and the slightly lower average J sc of their corresponding devices. However, with higher FA contents (x = 0.75 and 1.00), the film morphology was greatly improved, displaying complete coverage and no evident phase separation, which may contribute to the superior device performance.
To further elucidate the role of cation mixing in inhibiting carrier recombination, the transient state PL spectra of the encapsulated perovskite films on quartz substrates were measured to compare the rate of carrier recombination in these perovskites (Figure 6 a). Using single exponential decay curve fitting, the PL lifetimes of the films are calculated to be 1.62 ± 0.01, 2.13 ± 0.01, 2.08 ± 0.02, 3.07 ± 0.01, and 4.92 ± 0.02 ns for x = 0.00, 0.25, 0.50, 0.75, and 1.00, respectively. The increasing trend in PL lifetime indicates that the incorporation of FA cations can effectively reduce carrier recombination in these films. In order to evaluate the extent of carrier recombination in the devices, we also carried out the electrochemical impedance spectroscopy (EIS) under simulated 100 mW cm−2 AM 1.5G illumination. The corresponding equivalent circuit of the devices is schemed in the inset of Figure 6b, which includes the series resistance (R s), recombination resistance (R rec), and constant phase element (CPE) of electrical double layer. For all the devices, the Nyquist plots display a main arc at low frequencies (Figure 6b), which can be attributed to the R rec and CPE. The corresponding R rec fitted from the Nyquist plots of the devices under different bias is shown in Figure 6c (the R rec values are listed in Table S4 in the Supporting Information). At lower applied voltages, the R rec increases as the FA content is enhanced, showing a decreasing trend in recombination rate that is similar to the results suggested by PL lifetime measurements. However, as the applied voltage is elevated, the R rec of the FASnI3‐based device drops quickly, and at 0.4 V, it becomes substantially smaller than that of the (FA)0.75(MA)0.25SnI3‐based device and close to those of the MASnI3‐ and (FA)0.25(MA)0.75SnI3‐based devices. Since it is reported by Juarez‐Perez et al., larger R rec at high applied voltages can contribute to higher V oc,33 we examined the R rec at the high bias of 0.4 V and found it in good agreement with the V oc of the devices. The (FA)0.75(MA)0.25SnI3‐based device has the largest R rec at high applied voltages, which validates its outstanding V oc as a result of the reduction of recombination rate through cation mixing.
3. Conclusion
In summary, we have employed a facile yet effective method of organic‐cation mixing to improve the efficiency of Sn‐based PSCs. The mixing of FA and MA cations leads to improvement in the film morphology of Sn‐based perovskites and reduction of charge carrier recombination in the solar cells. As a result, the PSCs based on (FA)0.75(MA)0.25SnI3 with 10 mol% SnF2 additive generated a maximum PCE of 8.12% and an average PCE of 7.48% ± 0.52%. The V oc of our champion (FA)0.75(MA)0.25SnI3‐based device was enhanced to a remarkable 0.61 V, which outperforms most of the lead‐free PSCs that have been reported. Our work demonstrates that composition engineering is one of the important approaches to achieve higher V oc and PCE of Sn‐based PSCs. We believe that our method, combined with more progress such as structure design and interface engineering, may further enhance the performance of Sn‐based PSCs.
4. Experimental Section
Materials: Formamidinium iodide (NH2CH=NH2I) and methylammonium iodide (CH3NH3I) were synthesized as previously reported.34, 35 ITO‐coated glass substrates (sheet resistance 8 Ω sq−1, thickness 180 nm) were obtained from Shenzhen Huayulianhe Co., Ltd. PEDOT:PSS (Clevious P VP AI 4083), SnI2 (99.999%), C60 (99.9%), BCP (99.9%), and Ag (99.99%) were purchased from H. C. Stark Company, Alfa Aesar, Puyang Yongxin Fullerene Technology Co., Ltd, Xi'@an Polymer Light Technology Corp., and China New Metal Materials Technology Co., Ltd., respectively.
Perovskite Film Preparation: The deposition of perovskite films was performed in a nitrogen‐purged glovebox (O2 and H2O concentrations kept below 1.0 and 0.02 ppm, respectively). The FASnI3/MASnI3 precursor solution was prepared by dissolving SnI2 (372 mg), SnF2 (16 mg), and FAI (172 mg)/MAI (159 mg) in dimethyl sulfoxide (1250 µL), and the (FA)x(MA)1 −xSnI3 (x = 0.25, 0.50, and 0.75) precursor solutions were prepared by mixing the FASnI3 and MASnI3 precursor solution at a volume ratio of x: (1 − x). The precursor solutions were filtered through a 0.25 µm filter and spin‐coated on substrates (PEDOT:PSS or quartz) at 5000 rpm for 90 s. Chlorobenzene was dripped onto the substrate at the 60th s during the spin‐coating process. All the perovskite films were annealed on a hotplate at 100 °C for 10 min.
Device Fabrication: The ITO‐coated glass substrates were cleaned successively with detergent, deionized water, acetone, and isopropyl alcohol in an ultrasonic bath for 20 min, respectively, and treated with oxygen plasma for 5 min. PEDOT:PSS aqueous solution was filtered through a 0.45 µm filter and spin‐coated on the ITO surface at 500 rpm for 9 s and 4000 rpm for 60 s, and then annealed at 140 °C for 20 min. The procedures afterward were performed in a nitrogen‐purged glovebox (O2 and H2O concentrations were kept below 1.0 and 0.02 ppm, respectively). The perovskite layer was deposited on the PEDOT:PSS substrates, and C60 (50 nm), BCP (8 nm), and Ag (100 nm) layers were sequentially deposited on the perovskite layer by thermal evaporation under vacuum (10−6 mbar) through a shadow mask with an active area of 0.10 cm2.
Characterization: The XRD patterns were obtained by a D/MAX‐2000 X‐ray diffractometer with monochromatic Cu Kα irradiation (λ = 1.5418 Å). The thickness of PEDOT:PSS and perovskite films was determined by a KLATencor α‐Step Surface Profiler. The optical absorption spectra were scanned with a Shimadzu UV–vis–NIR spectrometer (UV‐3600). The steady‐state PL spectra were obtained with an FLS980 fluorescence spectrometer (Edinburgh Instruments Ltd.) with an excitation wavelength of 490 nm. The ionization potentials were measured on an AC‐2 photoelectron spectrometer (Riken‐Keiki). The J–V curves of the solar cells were measured utilizing a Keithley 4200 semiconductor characterization system with an Oriel 300 W solar simulator (Thermo Oriel 91160‐1000) under simulated 100 mW cm−2 AM 1.5G irradiation in a nitrogen‐purged glovebox (O2 and H2O concentrations kept below 1.0 and 0.02 ppm, respectively), and the scan rate is set to 300 mV s−1 unless otherwise stated. The IPCE spectra were recorded on a Keithley 2400 sourcemeter under an irradiation of a 150 W tungsten lamp with a 1/4 m monochromator (Spectral Product DK 240). SEM was carried out on a Hitachi S‐4800 field emission SEM. The time‐resolved PL measurements were carried out by a Deltaflex TCSPC system (Horiba) at 950 nm with a 479 nm laser. The EIS measurements were performed on a CHI660 electrochemical workstation (CH Instrument Inc.) under simulated 100 mW cm−2 AM 1.5G irradiation.
Conflict of Interest
The authors declare no conflict of interest.
Supporting information
Acknowledgements
The authors gratefully acknowledge the financial support from the Beijing National Laboratory of Molecular Sciences, the National Basic Research Program (2011CB933303), and the National Natural Science Foundation of China (NSFC) (21321001 and 21371012).
Zhao Z., Gu F., Li Y., Sun W., Ye S., Rao H., Liu Z., Bian Z., Huang C., Adv. Sci. 2017, 4, 1700204 https://doi.org/10.1002/advs.384
Contributor Information
Zhiwei Liu, Email: zwliu@pku.edu.cn.
Zuqiang Bian, Email: bianzq@pku.edu.cn.
References
- 1. Kojima A., Teshima K., Shirai Y., Miyasaka T., J. Am. Chem. Soc. 2009, 131, 6050. [DOI] [PubMed] [Google Scholar]
- 2.NREL, Best Research‐Cell Efficiencies, https://www.nrel.gov/pv/assets/images/efficiency‐chart.png. (accessed: April 2017)
- 3. Sun S. Y., Salim T., Mathews N., Duchamp M., Boothroyd C., Xing G. C., Sum T. C., Lam Y. M., Energy Environ. Sci. 2014, 7, 399. [Google Scholar]
- 4. Park N. G., Mater. Today 2015, 18, 65. [Google Scholar]
- 5. Ishihara T., J. Lumin. 1994, 60–1, 269. [Google Scholar]
- 6. Zhang W., Saliba M., Stranks S. D., Sun Y., Shi X., Wiesner U., Snaith H. J., Nano Lett. 2013, 13, 4505. [DOI] [PubMed] [Google Scholar]
- 7. Xing G., Mathews N., Sun S., Lim S. S., Lam Y. M., Gratzel M., Mhaisalkar S., Sum T. C., Science 2013, 342, 344. [DOI] [PubMed] [Google Scholar]
- 8. Dong Q., Fang Y., Shao Y., Mulligan P., Qiu J., Cao L., Huang J., Science 2015, 347, 967. [DOI] [PubMed] [Google Scholar]
- 9. Shockley W., Queisser H. J., J. Appl. Phys. 1961, 32, 510. [Google Scholar]
- 10. Rühle S., Sol. Energy 2016, 130, 139. [Google Scholar]
- 11. Hao F., Stoumpos C. C., Chang R. P., Kanatzidis M. G., J. Am. Chem. Soc. 2014, 136, 8094. [DOI] [PubMed] [Google Scholar]
- 12. Yang Z., Rajagopal A., Chueh C. C., Jo S. B., Liu B., Zhao T., Jen A. K., Adv. Mater. 2016, 28, 8990. [DOI] [PubMed] [Google Scholar]
- 13. Wu B., Zhou Y., Xing G., Xu Q., Garces H. F., Solanki A., Goh T. W., Padture N. P., Sum T. C., Adv. Funct. Mater. 2017, 27, 1604818. [Google Scholar]
- 14. Noel N. K., Stranks S. D., Abate A., Wehrenfennig C., Guarnera S., Haghighirad A.‐A., Sadhanala A., Eperon G. E., Pathak S. K., Johnston M. B., Petrozza A., Herz L. M., Snaith H. J., Energy Environ. Sci. 2014, 7, 3061. [Google Scholar]
- 15. Yokoyama T., Cao D. H., Stoumpos C. C., Song T. B., Sato Y., Aramaki S., Kanatzidis M. G., J. Phys. Chem. Lett. 2016, 7, 776. [DOI] [PubMed] [Google Scholar]
- 16. Kumar M. H., Dharani S., Leong W. L., Boix P. P., Prabhakar R. R., Baikie T., Shi C., Ding H., Ramesh R., Asta M., Graetzel M., Mhaisalkar S. G., Mathews N., Adv. Mater. 2014, 26, 7122. [DOI] [PubMed] [Google Scholar]
- 17. Kontos A. G., Kaltzoglou A., Siranidi E., Palles D., Angeli G. K., Arfanis M. K., Psycharis V., Raptis Y. S., Kamitsos E. I., Trikalitis P. N., Stoumpos C. C., Kanatzidis M. G., Falaras P., Inorg. Chem. 2017, 56, 84. [DOI] [PubMed] [Google Scholar]
- 18. Hao F., Stoumpos C. C., Guo P., Zhou N., Marks T. J., Chang R. P., Kanatzidis M. G., J. Am. Chem. Soc. 2015, 137, 11445. [DOI] [PubMed] [Google Scholar]
- 19. Lee S. J., Shin S. S., Kim Y. C., Kim D., Ahn T. K., Noh J. H., Seo J., Seok S. I., J. Am. Chem. Soc. 2016, 138, 3974. [DOI] [PubMed] [Google Scholar]
- 20. Liao W., Zhao D., Yu Y., Grice C. R., Wang C., Cimaroli A. J., Schulz P., Meng W., Zhu K., Xiong R. G., Yan Y., Adv. Mater. 2016, 28, 9333. [DOI] [PubMed] [Google Scholar]
- 21. Ke W., Stoumpos C. C., Logsdon J. L., Wasielewski M. R., Yan Y., Fang G., Kanatzidis M. G., J. Am. Chem. Soc. 2016, 138, 14998. [DOI] [PubMed] [Google Scholar]
- 22. Mei A., Li X., Liu L., Ku Z., Liu T., Rong Y., Xu M., Hu M., Chen J., Yang Y., Gratzel M., Han H., Science 2014, 345, 295. [DOI] [PubMed] [Google Scholar]
- 23. Hu M., Liu L., Mei A., Yang Y., Liu T., Han H., J. Mater. Chem. A 2014, 2, 17115. [Google Scholar]
- 24. Pellet N., Gao P., Gregori G., Yang T. Y., Nazeeruddin M. K., Maier J., Gratzel M., Angew. Chem., Int. Ed. Engl. 2014, 53, 3151. [DOI] [PubMed] [Google Scholar]
- 25. Liao W., Zhao D., Yu Y., Shrestha N., Ghimire K., Grice C. R., Wang C., Xiao Y., Cimaroli A. J., Ellingson R. J., Podraza N. J., Zhu K., Xiong R. G., Yan Y., J. Am. Chem. Soc. 2016, 138, 12360. [DOI] [PubMed] [Google Scholar]
- 26. Eperon G. E., Leijtens T., Bush K. A., Prasanna R., Green T., Wang J. T.‐W., McMeekin D. P., Volonakis G., Milot R. L., May R., Palmstrom A., Slotcavage D. J., Belisle R. A., Patel J. B., Parrott E. S., Sutton R. J., Ma W., Moghadam F., Conings B., Babayigit A., Boyen H.‐G., Bent S., Giustino F., Herz L. M., Johnston M. B., McGehee M. D., Snaith H. J., Science 2016, 354, 861. [DOI] [PubMed] [Google Scholar]
- 27. Xu X., Chueh C.‐C., Yang Z., Rajagopal A., Xu J., Jo S. B., Jen A. K. Y., Nano Energy 2017, 34, 392. [Google Scholar]
- 28. Xi J., Wu Z., Jiao B., Dong H., Ran C., Piao C., Lei T., Song T.‐B., Ke W., Yokoyama T., Hou X., Kanatzidis M. G., Adv. Mater. 2017, 1606964. [DOI] [PubMed] [Google Scholar]
- 29. Wang F., Ma J. L., Xie F. Y., Li L. K., Chen J., Fan J., Zhao N., Adv. Funct. Mater. 2016, 26, 3417. [Google Scholar]
- 30. Ogomi Y., Morita A., Tsukamoto S., Saitho T., Fujikawa N., Shen Q., Toyoda T., Yoshino K., Pandey S. S., Ma T., Hayase S., J. Phys. Chem. Lett. 2014, 5, 1004. [DOI] [PubMed] [Google Scholar]
- 31. Ryu S., Noh J. H., Jeon N. J., Kim Y. C., Yang S., Seo J. W., Seok S. I., Energy Environ. Sci. 2014, 7, 2614. [Google Scholar]
- 32. Jo J. W., Seo M. S., Park M., Kim J. Y., Park J. S., Han I. K., Ahn H., Jung J. W., Sohn B. H., Ko M. J., Son H. J., Adv. Funct. Mater. 2016, 26, 4464. [Google Scholar]
- 33. Juarez‐Perez E. J., Wuβler M., Fabregat‐Santiago F., Lakus‐Wollny K., Mankel E., Mayer T., Jaegermann W., Mora‐Sero I., J. Phys. Chem. Lett. 2014, 5, 680. [DOI] [PubMed] [Google Scholar]
- 34. Bi D., Yang L., Boschloo G., Hagfeldt A., Johansson E. M., J. Phys. Chem. Lett. 2013, 4, 1532. [DOI] [PubMed] [Google Scholar]
- 35. Eperon G. E., Stranks S. D., Menelaou C., Johnston M. B., Herz L. M., Snaith H. J., Energy Environ. Sci. 2014, 7, 982. [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.