Achieving a high open-circuit voltage of 1.339 V in 1.77 eV wide-bandgap perovskite solar cells via self-assembled monolayers

Zongjin Yi a, Wanhai Wang bc, Rui He a, Jingwei Zhu a, Wenbo Jiao a, Yi Luo a, Yuliang Xu a, Yunfan Wang d, Zixin Zeng d, Kun Wei e, Jinbao Zhang e, Sai-Wing Tsang d, Cong Chen a, Weihua Tang *bc and Dewei Zhao *a
aCollege of Materials Science and Engineering & Engineering Research Center of Alternative Energy Materials & Devices, Ministry of Education, Sichuan University, Chengdu 610065, China. E-mail: dewei_zhao@hotmail.com
bInstitute of Flexible Electronics (IFE, Future Technologies), College of Materials, Innovation Laboratory for Sciences and Technologies of Energy Materials of Fujian Province (IKKEM), Xiamen University, Xiamen 361005, China. E-mail: whtang@xmu.edu.cn
cSchool of Chemistry and Chemical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
dDepartment of Materials Science and Engineering, City University of Hong Kong, 83 Tat Chee Ave, Kowloon Tong, Hong Kong SAR, China
eCollege of Materials, Fujian Key Laboratory of Advanced Materials, Xiamen Key Laboratory of Electronic Ceramic Materials and Devices, Xiamen University, Xiamen, China

Received 26th August 2023 , Accepted 7th November 2023

First published on 10th November 2023


Abstract

Severe open-circuit voltage (VOC) loss significantly hinders the performance improvement of wide-bandgap (WBG) perovskite solar cells (PSCs) and their application in perovskite-based tandem devices. Herein, we develop a novel self-assembled monolayer of (4-(5,9-dibromo-7H-dibenzo[c,g]carbazol-7-yl)butyl)phosphonic acid (DCB-BPA) as the hole-selective layer for WBG PSCs with a 1.77 eV perovskite absorber. DCB-BPA facilitates the subsequent growth of WBG perovskite with improved buried-interface quality. Compared with that of poly(triarylamine) PTAA-based control devices, a substantially enhanced average VOC from 1.18 V to 1.31 V of DCB-BPA-based devices has been realized due to reduced interfacial nonradiative recombination and enhanced energy level alignment. Our certified device delivers an impressive VOC of up to 1.339 V and a power conversion efficiency (PCE) of 18.88%, corresponding to a very low VOC loss of 431 mV (with respect to the bandgap). This enables us to fabricate efficient 4-terminal all-perovskite tandem solar cells with a PCE of 26.9% by combining with a 1.25 eV low-bandgap PSC, demonstrating the promising application of DCB-BPA in tandem devices.



Broader context

Perovskite-based tandem solar cells (TSCs) hold the promise of surpassing the single-junction efficiency limits by reducing the thermalization losses. Nevertheless, the current wide-bandgap (WBG) subcells using polymeric poly(triarylamine) (PTAA) still suffer from severe open-circuit voltage (VOC) loss due to considerable nonradiative recombination in the perovskite film and at the perovskite/hole transport layer (HTL) interface. The choice of appropriate HTLs that simultaneously accelerate charge extraction, passivate interfacial defects and regulate the upper perovskite growth is thus an important priority to unite the device efficiency and stability. Among various types of HTLs, self-assembled monolayers (SAMs) show great promise for practical applications owing to their facile synthesis, tunable energy levels, and strong capability for large-area device fabrication. In this work, we demonstrate that replacing PTAA with a well-designed SAM can significantly increase the VOC of WBG subcells and show how this regulation affects the interfacial characteristics. Our work provides a valuable prospect of rationally engineering perfect charge-selective contacts for WBG subcells, beneficially unveiling a possibility for further promoting the performances of TSCs.

Introduction

The theoretical power conversion efficiency (PCE) of single-junction solar cells is limited to ∼33%,1 due to inevitable thermal relaxation losses of photon energy above the bandgap. Constructing tandem solar cells (TSCs) with theoretical efficiency above 40% by reducing the thermalization losses and maximizing the usage of the solar spectrum is considered effective to break such a limit,2 and great progress has been achieved.3–7 In TSCs, wide-bandgap (WBG) subcells play an essential role in harvesting high-energy photons and providing high open-circuit voltage (VOC) for the whole tandem devices.2,8 Wide bandgap tunability and low-temperature solution processes make the WBG perovskite solar cells (PSCs) the most suitable for top subcells in TSCs. Though many efforts have been proven effective for better device performance in PSCs,9,10 WBG PSCs used in TSCs still suffer from large VOC losses, preventing further performance improvement of tandem devices. Even in state-of-the-art tandem devices, the VOC losses in WBG (1.75–1.80 eV) PSCs used for all-perovskite tandems are still much larger than that in normal-bandgap (1.50–1.60 eV) ones.11 For example, a VOC of 1.19 V was obtained in FAPbI3 (the bandgap is 1.51 eV) PSCs with a record efficiency of 25.5%, approaching 96.0% of its VOC,SQ (VOC of Shockley–Queisser limit) of 1.24 V,12 while the VOC of a 1.78 eV WBG perovskite top cell used in the 28% efficiency all-perovskite TSCs was only 1.274 V (85.3% of its VOC,SQ).13 Finding effective strategies to minimize severe VOC losses of WBG PSCs is thus of great significance to the development of high-efficiency tandem devices.

Previous studies have investigated the fundamental mechanisms for the large VOC losses of WBG PSCs and provided some insights. One is attributed to the changed crystallization dynamics in the presence of higher bromine (Br) content, which is prone to induce more defects.14 The lack of proper charge transport layers is another important reason. In principle, an ideal hole transport layer (HTL) should help to form a compact perovskite absorber with a void-free buried interface, manifesting a simplified process without additional interfacial modifications. However, for the conventional poly(triarylamine) (PTAA) HTL, it is very challenging to achieve high-efficiency WBG PSCs (especially high VOCs) without an additional pre-treatment such as poly((9,9-bis(3′-((N,N-dimethyl)-N-ethylammonium)-propyl)-2,7-fluorene)-alt-2,7-(9,9-dioctylfluorene))dibromide (PFNBr), due to its poor wettability for the perovskite precursor and relatively shallow highest occupied molecular orbital (HOMO) energy level (∼−5.1 eV).15–18 In terms of device fabrication cost, the high price (2000 $ per g) of PTAA also limits its large-scale application.19 Thus, it is of great importance and necessity to finely design effective and low-cost HTLs for better device performance.

Recently, self-assembled monolayers (SAMs) have become promising HTLs to fabricate efficient inverted PSCs benefitting from their facile synthesis, tunable energy levels, and strong capability for large-area device fabrication.20–22 By modulating the work function (WF) of the metal oxide substrates while minimizing the HTL/perovskite interfacial VOC losses, SAMs have gained impressive performance in both WBG and low-bandgap (LBG) PSCs.23–25 Al-Ashouri et al. used (2-(9H-carbazol-9-yl)ethyl)phosphonic acid in a 1.60 eV perovskite subcell for monolithic perovskite/CIGS TSCs, and realized an average VOC enhancement of 60 mV and a certified efficiency of 23.26%.26 In our recent work, we found that a spatially twisted SAM can effectively improve the VOC of 1.77 eV WBG PSCs, enabling 26.4% certified efficiency of 1.044[thin space (1/6-em)]cm2 monolithic all-perovskite TSCs.27 These show the great potential of SAMs to construct highly efficient TSCs, while comprehensive mechanism studies are desired to provide for further molecular design and device engineering.

In this work, we employ a rationally designed SAM, e.g., (4-(5,9-dibromo-7H-dibenzo[c,g]carbazol-7-yl)butyl)phosphonic acid (DCB-BPA) in 1.77 eV WBG PSCs, benefiting from its matched energy levels and defect passivation ability. DCB-BPA enables the growth of high-quality WBG perovskite with an improved buried interface and reduced trap state density, which effectively suppresses interfacial nonradiative recombination losses. We then obtain a substantial average VOC enhancement from 1.18 V to 1.31 V. Our certified device yields a high PCE of 18.88% with an impressive VOC of 1.339 V. Further EQEEL (external quantum efficiency of electroluminescence) measurements quantified the reduced nonradiative VOC loss of 155 mV in the DCB-BPA device from that of 272 mV in the PTAA control device. We also achieve a 26.9%-efficiency 4-terminal (4-T) all-perovskite tandem device by stacking a DCB-BPA-based semitransparent 1.77 eV WBG top subcell and a 1.25 eV LBG bottom subcell. Our work suggests the promise and significance of the novel SAMs in reducing VOC losses for WBG PSCs and perovskite-based tandem devices.

Results and discussion

Fig. 1a shows the molecular structure of DCB-BPA and the detailed synthesis and characterization can be found in our previous work.28 Featuring a phosphonic acid anchoring group, DCB-BPA can chemically self-absorb on the indium tin oxide (ITO) surface to form extremely thin and stable layers.29 Due to the steric repulsive interaction between the terminal aromatic rings, the 7H-dibenzo[c,g]carbazole skeleton in DCB-BPA exhibits a unique non-coplanar screw-shaped configuration (Fig. S1, ESI), which effectively hinders intermolecular π–π stacking to improve the solubility of the resultant molecules.27 The electron-withdrawing Br substituents have the function of lowering the HOMO level of the SAMs while endowing the potential of the SAMs to passivate interfacial defects,30 due to the relatively high negative electrostatic potential in Br atoms illustrated by the electrostatic potential analysis (in red color, Fig. S1, ESI). Besides, the ultrathin nature and excellent optical transparency of SAMs enable DCB-BPA to exhibit high transmittance over the entire visible region (Fig. S2, ESI), which is beneficial for obtaining a higher JSC.
image file: d3ee02839a-f1.tif
Fig. 1 Molecular structure of DCB-BPA and characterizations of the HTLs on the ITO substrate and perovskite films grown on PTAA and DCB-BPA. (a) Molecular structure of DCB-BPA. (b) and (c) Water contact angles of PTAA (b) and DCB-BPA (c) on the ITO substrate. (d) Energy level diagram between different HTLs and the perovskite. (e) Schematic of minimal interfacial losses enabled by improved buried-interface quality.

We compared the wettability of two HTLs via contact angle measurements. DCB-BPA shows a significantly reduced contact angle of 67°, compared with that of 89° for PTAA (Fig. 1b and c). Better wettability of DCB-BPA than PTAA could help to reduce pinholes in the perovskite films and improve the reproducibility, while a recent work shows that improved wettability of SAMs helps to reduce the void at the buried interface, demonstrating the significance of the good wettability of SAMs.31 As the energetic property of the HTL exerts a great influence on the interfacial charge extraction and transport, we thus conducted ultra-violet photoelectron spectroscopy (UPS) measurements to investigate the energy level alignment between DCB-BPA and perovskite (Fig. S3, ESI). Fig. 1d plots the energy level diagram of the perovskite and different HTLs. A valence band offset of 0.57 eV exists between PTAA and the WBG perovskite, larger than that of 0.12 eV between DCB-BPA and the WBG perovskite. Some works have shown that improved energy level alignment of the HOMO between the HTLs and perovskite benefits the enhancement of the VOC,32 while SAMs with the HOMO lower than the perovskite layer could lead to decreased VOC and JSC.33 So, the favorable energy level alignment enabled by DCB-BPA may play an important role in enhancing the device VOC.

To study the impacts of different HTLs on carrier kinetics, we conducted time-resolved photoluminescence (TRPL) measurements on HTL/1.77 eV FA0.8Cs0.2PbI1.8Br1.2 perovskite. Notably, perovskite film grown on DCB-BPA exhibits a much longer average carrier lifetime than that of the PTAA sample, which even surpasses that of perovskite film grown on glass. The TRPL decays of perovskite film grown on HTL can be roughly divided into two regimes, according to the carrier extraction regime where carrier extraction and carrier trapping occur, and the carrier recombination regime where carrier recombination occurs.34,35 For the DCB-BPA sample, we see a fast initial decay in early times compared with the perovskite film on glass (Fig. S4, ESI), demonstrating the carrier transfer from perovskite to DCB-BPA.26,34 When carrier recombination dominates the TRPL curve, we can see a slower decay of the DCB-BPA sample in the carrier recombination regime, corresponding to a much longer τ2 of 584 ns for the DCB-BPA sample than 401 ns for the glass sample, which is related with nonradiative recombination in the perovskite layer,26 indicating that the DCB-BPA HTL effectively suppresses nonradiative recombination losses in the perovskite films (Fig. S4 and Table S1, ESI). We attribute the prolonged carrier lifetime to improved buried-interface quality in the DCB-BPA sample (Fig. 1e), considering that no notable change in crystallinity (Fig. S5, ESI) and surface morphology (Fig. 2a and d) of WBG perovskite films grown on different HTLs is observed, indicating that DCB-BPA does not significantly change the crystallization of the WBG perovskite. We thus exfoliated the perovskite films from ITO substrates to visualize their buried-interface microstructures. Notably, several nano-sized voids appear at the buried interface of the PTAA sample, while in the DCB-BPA sample, a more homogeneous morphology with no voids is obtained (Fig. 2b and e). Moreover, the PL mapping of the buried interface of the DCB-BPA sample also shows notably improved uniformity and intensity (Fig. 2c and f). All these results confirm much improved homogeneity of the perovskite films on DCB-BPA, which helps to suppress the interfacial non-radiative recombination and enhance the device stability.


image file: d3ee02839a-f2.tif
Fig. 2 Characterizations of perovskite films grown on PTAA and DCB-BPA. (a) and (d) Top-view SEM images of perovskite films deposited on PTAA (a) and DCB-BPA (d). (b) and (e) SEM images of the buried interface of perovskite films deposited on PTAA (b) and DCB-BPA (e). (c) and (f) PL mapping of the buried interface of the perovskite films deposited on PTAA (c) and DCB-BPA (f).

Encouraged by the aforementioned improvements, we fabricated complete WBG PSCs to demonstrate the potential of DCB-BPA as the HTL in WBG PSCs, as depicted in Fig. 3a. The deposition of DCB-BPA onto ITO was optimized from varying the DCB-BPA concentration, and the corresponding statistics of photovoltaic parameters are summarized in Fig. S6 (ESI). We note that DCB-BPA shows poor solubility when the concentration exceeds 0.4 mg mL−1, so we failed to try higher concentrations. At an optimal concentration of 0.4 mg mL−1, DCB-BPA-based devices show a notable improvement in average VOC from ∼1.18 V to ∼1.31 V, compared with PTAA ones (Fig. 3b). Coupled with simultaneous improvements in average fill factor (FF) and short-circuit current density (JSC) (Fig. S7, ESI), the average PCE of the DCB-BPA-based devices is 19.18%, higher than that of the PTAA counterpart (16.65%).


image file: d3ee02839a-f3.tif
Fig. 3 Photovoltaic performance and characterizations of complete WBG devices with different HTLs. (a) Device structure of a complete WBG PSC. (b) and (c) Statistics of VOC (b) and PCE (c) of WBG PSCs using PTAA and DCB-BPA as HTLs. (d)–(f) JV curves (d), EQE spectra (e), and MPP tracking under continuous illumination (f) of PTAA and DCB-BPA devices.

Fig. 3d shows the JV curves of our champion devices measured under different voltage scans, and the detailed photovoltaic parameters are listed in Table S2 (ESI). The PTAA device delivers a PCE of 17.22% (17.08%) with a VOC of 1.20 (1.20) V, an FF of 81.28% (80.69%), and a JSC of 17.67 (17.67) mA cm−2 under reverse (forward) scan. However, the DCB-BPA device yields a PCE of 19.53% (19.52%), with a VOC of 1.33 (1.33) V, an FF of 82.70% (82.42%), and a JSC of 17.75 (17.80) mA cm−2 under reverse (forward) scan. Both devices exhibit negligible hysteresis. The EQE-integrated JSCs values are 17.07 and 17.25 mA cm−2 for PTAA and DCB-BPA devices, respectively, matching well with the JSCs from the JV scans (Fig. 3e). We also sent an encapsulated DCB-BPA device to Shanghai Institute of Microsystem and Information Technology for certification (Fig. S8, ESI), obtaining an efficiency of 18.88% with a VOC of 1.339 V. Notably, the VOC (1.339 V) of the certified DCB-BPA device achieved 90% of its VOC,SQ (1.485 V) (Fig. S9, ESI), among the highest values of WBG PSCs with a bandgap higher than 1.75 eV (Table S3, ESI), indicating that DCB-BPA as the HTL significantly mitigates the severe VOC losses in WBG PSCs. To better understand the origins of the improved VOC, we compared the performance of the devices with DCB-BPA and 2PACz as HTLs in Figure S10 (ESI). Although 2PACz shows a favorable HOMO level of −5.6 eV,26 the DCB-BPA device achieves increased VOC and FF, implying that the 7H-dibenzo[c,g]carbazole core in DCB-BPA benefits the performance improvement as reported in recent works,27,36 and the modified Br atoms enable favorable energy level alignment and passivation of interfacial defects. To assess the operational stability of the DCB-BPA device, we recorded the efficiency evolution of encapsulated devices by tracking the maximum power point (MPP) at room temperature with ∼50% humidity. In Fig. 3f, the DCB-BPA device shows superior operational stability with over 80% of its initial efficiency maintained after continuous illumination for 427 h. On the contrary, the PCE of the PTAA device decays rapidly to only 64% of its initial value after 131 h.

To gain more insights into the improved VOC of DCB-BPA-based devices, we performed the Mott–Schottky analysis to evaluate the built-in potential (Vbi) and charge distribution at the HTL/perovskite interface. As shown in Fig. 4a, the Vbi value of the DCB-BPA device is estimated to be 1.05 V, higher than that of the PTAA one (0.94 V). A higher Vbi could provide a stronger driving force for photogenerated carrier separation, facilitating the carrier transfer and resulting in high VOC. In addition, the DCB-BPA device also possesses a higher slope of the Mott–Schottky plots, which signifies faster charge transfer at the HTL/perovskite interface with reduced carrier accumulation.37 Then, we tested the dark current under bias from −0.1 to 1.2 V to further elucidate the leakage current formed by carrier recombination (Fig. 4b). It is obvious that the DCB-BPA device exhibits a lower leakage current in contrast to the PTAA case, suggesting that DCB-BPA provides a more ideal rectification effect to block the recombination current and allow more photocurrent flow through the device. We examined the ideal factor (nid) of different devices by light intensity dependent VOC measurements. In Fig. 4c, the PTAA device shows a nid of 1.74, while the DCB-BPA device has a reduced nid of 1.47, indicating reduced SRH recombination in the DCB-BPA device.38 Besides, we also performed electrochemical impedance spectroscopy (EIS) measurements. A higher recombination resistance of the DCB-BPA device shown in Fig. S11 (ESI) can further demonstrate the suppressed nonradiative recombination.


image file: d3ee02839a-f4.tif
Fig. 4 Characterizations of WBG devices with different HTLs. (a)–(d) CV curves (a), dark JV curves (b), light intensity dependent VOC (c), and highly-sensitive EQE spectra (d) of PTAA and DCB-BPA devices. (e) EOEEL of PTAA and DCB-BPA devices recorded under different voltage biases; the inset is the EL image of a DCB-BPA device working as the LED. (f) Nonradiative recombination VOC losses of PTAA and DCB-BPA devices calculated by the EQEEL.

To gain a more intuitive comparison of defect-related information, we measured highly-sensitive EQE spectra for PTAA and DCB-BPA devices.39 As shown in Fig. 4d, the EQE curve of the PTAA device reveals the presence of sub gap states (at very low EQEs around 10−7). Importantly, for the DCB-BPA device, we observed the reduced EQE response belonging to sub gap states, validating the reduced defect state density in the DCB-BPA device.40 We further quantitatively evaluated the defect state densities via space-charge limited current measurements.41 In Fig. S12 (ESI), the trap-filled limit voltage (VTFL) decreases from 0.87 to 0.64 V for PTAA and DCB-BPA devices, respectively, corresponding to the decreased defect state densities from 2.43 × 1016 cm−3 for the PTAA device to 1.79 × 1016 cm−3 for the DCB-BPA device,42 implying that DBC-BPA HTL could substantially reduce the interfacial nonradiative recombination losses.

We further used EL measurement to quantify nonradiative VOC losses induced by defect recombination in PTAA and DCB-BPA devices. As shown in Fig. 4e, under the testing voltage range, the DCB-BPA device shows obviously higher EQEEL. The DCB-BPA device yields an EQEEL of 0.256% when the injection current equals the JSC. In contrast, a considerably low EQEEL of 0.00268% was obtained for the PTAA device. The enhanced EQEEL value by two orders of magnitude demonstrates the substantially reduced nonradiative recombination losses, agreeing well with the improved VOC obtained in the DCB-BPA devices. Moreover, we further quantify the nonradiative VOC losses by the following equation.43,44

image file: d3ee02839a-t1.tif
in which the ΔVOC,nonrad is the VOC loss of nonradiative recombination, kB is the Boltzmann constant, and T represents kelvin temperature. According to this equation, a higher EQEEL means fewer nonradiative recombination losses. We calculated a ΔVOC,nonrad value of 272 mV for the PTAA device and a much smaller value of 155 mV for the DCB-BPA device (Fig. 4f), indicating that the employment of DCB-BPA can effectively reduce the nonradiative recombination at the DCB-BPA/perovskite interface.

To show the application potential of DCB-BPA in TSCs, we fabricated semitransparent devices by replacing the Cu back electrode with a sputtered indium zinc oxide (IZO) transparent electrode to construct 4-T all-perovskite TSCs with 1.25 eV LBG perovskite bottom cells (Fig. 5a). Our champion semitransparent solar cell yields a PCE of 17.87% with a VOC of 1.30 V. The LBG solar cell has a PCE of 20.53% and a filtered PCE of 9.03% (Fig. 5b). The detailed photovoltaic parameters of the devices are summarized in Table S4 (ESI). Eventually, a PCE of 26.90% is achieved, which is among the highest values reported for 4-T all-perovskite TSCs. We note that our 4-T tandem device offers more potential if improved performance of LBG PSCs could be obtained, and the effective light management such as antireflection layers and strategies of parasite absorption reduction is adopted.


image file: d3ee02839a-f5.tif
Fig. 5 (a) Schematic device configuration of a 4-T all-perovskite TSC. (b) JV curves of the WBG top cell, original LBG bottom cell, and filtered LBG bottom cell. (c) EQE spectra of the WBG top cell and filtered LBG bottom cell.

Conclusion

We have designed a novel SAM of DCB-BPA to substitute the conventional PTAA HTL to suppress the VOC loss in 1.77 eV WBG PSCs. DCB-BPA effectively reduces the defect state density at the HTL/perovskite interface, leading to the formation of a high-quality buried interface with minimal nonradiative recombination losses. As revealed by EL, the nonradiative recombination losses induced by DCB-BPA are far less than that induced by PTAA. Moreover, combined with the favorable energy level alignment between DCB-BPA and the perovskite, we achieve a certified high VOC of up to 1.339 V with a PCE of 18.88%, which is among the highest values reported in WBG PSCs. The DCB-BPA device also exhibits better operational stability, maintaining 80% of its initial efficiency after continuous illumination for 427 h, while only 64% of the PTAA device for 131 h. We also fabricated semitransparent devices to construct a 4-T all-perovskite tandem cell by mechanically stacking with a 1.25 eV LBG PSC, which yields a high PCE of 26.9%. Our work suggests the feasibility and the huge potential of the well-designed SAM as an HTL in WBG PSCs.

Conflicts of interest

The authors declare no competing interests.

Acknowledgements

This work was financially supported by the National Key R&D Program of China (no. 2022YFB4200304), the Fundamental Research Funds for the Central Universities (no. YJ201955 and YJ2021157), the National Natural Science Foundation of China (no. 22375170, 21875111, 51861145401), the Research Funds from Tan Kah Kee Innovation Laboratory (HRTP-[2022]-45), and the Key R&D Program of Natural Science Foundation of Jiangsu Province (BE2019733).

References

  1. M. C. Hanna and A. J. Nozik, J. Appl. Phys., 2006, 100, 074510 CrossRef.
  2. R. He, S. Ren, C. Chen, Z. Yi, Y. Luo, H. Lai, W. Wang, G. Zeng, X. Hao, Y. Wang, J. Zhang, C. Wang, L. Wu, F. Fu and D. Zhao, Energy Environ. Sci., 2021, 14, 5723–5759 RSC.
  3. H. Chen, A. Maxwell, C. Li, S. Teale, B. Chen, T. Zhu, E. Ugur, G. Harrison, L. Grater, J. Wang, Z. Wang, L. Zeng, S. M. Park, L. Chen, P. Serles, R. A. Awni, B. Subedi, X. Zheng, C. Xiao, N. J. Podraza, T. Filleter, C. Liu, Y. Yang, J. M. Luther, S. De Wolf, M. G. Kanatzidis, Y. Yan and E. H. Sargent, Nature, 2023, 613, 676–681 CrossRef CAS PubMed.
  4. C. Wang, Y. Zhao, T. Ma, Y. An, R. He, J. Zhu, C. Chen, S. Ren, F. Fu, D. Zhao and X. Li, Nat. Energy, 2022, 7, 744–753 CrossRef CAS.
  5. R. Lin, J. Xu, M. Wei, Y. Wang, Z. Qin, Z. Liu, J. Wu, K. Xiao, B. Chen, S. M. Park, G. Chen, H. R. Atapattu, K. R. Graham, J. Xu, J. Zhu, L. Li, C. Zhang, E. H. Sargent and H. Tan, Nature, 2022, 603, 73–78 CrossRef CAS PubMed.
  6. L. Li, Y. Wang, X. Wang, R. Lin, X. Luo, Z. Liu, K. Zhou, S. Xiong, Q. Bao, G. Chen, Y. Tian, Y. Deng, K. Xiao, J. Wu, M. I. Saidaminov, H. Lin, C.-Q. Ma, Z. Zhao, Y. Wu, L. Zhang and H. Tan, Nat. Energy, 2022, 7, 708–717 CrossRef CAS.
  7. J. Zhu, Y. Luo, R. He, C. Chen, Y. Wang, J. Luo, Z. Yi, J. Thiesbrummel, C. Wang, F. Lang, H. Lai, Y. Xu, J. Wang, Z. Zhang, W. Liang, G. Cui, S. Ren, X. Hao, H. Huang, Y. Wang, F. Yao, Q. Lin, L. Wu, J. Zhang, M. Stolterfoht, F. Fu and D. Zhao, Nat. Energy, 2023, 8, 714–724 CrossRef CAS.
  8. Z. Fang, L. Jia, N. Yan, X. Jiang, X. Ren, S. Yang and S. Liu, InfoMat, 2022, 4, 12307 CrossRef.
  9. L. Xie, X. Zhao, J. Wang, J. Li, C. Liu, S. Wang, Q. Bao, M. Yang, X. Niu, F. Hao and Z. Ge, InfoMat, 2023, 5, 12379 CrossRef.
  10. Y. Liu, B. Dong, A. Hagfeldt, J. Luo and M. Graetzel, SmartMat, 2021, 2, 33–37 CrossRef CAS.
  11. Y. Zhou, I. Poli, D. Meggiolaro, F. De Angelis and A. Petrozza, Nat. Rev. Mater., 2021, 6, 986–1002 CrossRef.
  12. H. Min, D. Y. Lee, J. Kim, G. Kim, K. S. Lee, J. Kim, M. J. Paik, Y. K. Kim, K. S. Kim, M. G. Kim, T. J. Shin and S. Il Seok, Nature, 2021, 598, 444–450 CrossRef CAS.
  13. R. Lin, Y. Wang, Q. Lu, B. Tang, J. Li, H. Gao, Y. Gao, H. Li, C. Ding, J. Wen, P. Wu, C. Liu, S. Zhao, K. Xiao, Z. Liu, C. Ma, Y. Deng, L. Li, F. Fan and H. Tan, Nature, 2023, 620, 994–1000 CrossRef CAS PubMed.
  14. T. Huang, S. Tan, S. Nuryyeva, I. Yavuz, F. Babbe, Y. Zhao, M. Abdelsamie, M. H. Weber, R. Wang, K. N. Houk, C. M. Sutter-Fella and Y. Yang, Sci. Adv., 2021, 7, eabj1799 CrossRef CAS.
  15. M. Stolterfoht, C. M. Wolff, J. A. Marquez, S. S. Zhang, C. J. Hages, D. Rothhardt, S. Albrecht, P. L. Burn, P. Meredith, T. Unold and D. Neher, Nat. Energy, 2018, 3, 847–854 CrossRef CAS.
  16. S. J. Sung, J. Im, G. Kim, C. S. Moon, J. J. Yoo, S. S. Shin, N. J. Jeon, B. S. Ma, D. J. Kim, T. S. Kim and J. Seo, Adv. Energy Mater., 2022, 12, 2200758 CrossRef CAS.
  17. Q. Zhou, J. Qiu, Y. Wang, M. Yu, J. Liu and X. Zhang, ACS Energy Lett., 2021, 6, 1596–1606 CrossRef CAS.
  18. T. J. Macdonald, A. J. Clancy, W. Xu, Z. Jiang, C. T. Lin, L. Mohan, T. Du, D. D. Tune, L. Lanzetta, G. Min, T. Webb, A. Ashoka, R. Pandya, V. Tileli, M. A. McLachlan, J. R. Durrant, S. A. Haque and C. A. Howard, J. Am. Chem. Soc., 2021, 143, 21549–21559 CrossRef CAS.
  19. E. H. Jung, N. J. Jeon, E. Y. Park, C. S. Moon, T. J. Shin, T. Y. Yang, J. H. Noh and J. Seo, Nature, 2019, 567, 511–515 CrossRef CAS.
  20. D. Zhang, H. Zhang, H. Guo, F. Ye, S. Liu and Y. Wu, Adv. Funct. Mater., 2022, 32, 2200174 CrossRef CAS.
  21. X. Zhu, C. F. J. Lau, K. Mo, S. Cheng, Y. Xu, R. Li, C. Wang, Q. Zheng, Y. Liu, T. Wang, Q. Lin and Z. Wang, Nano Energy, 2022, 103, 107849 CrossRef CAS.
  22. S. Gharibzadeh, P. Fassl, I. M. Hossain, P. Rohrbeck, M. Frericks, M. Schmidt, T. Duong, M. R. Khan, T. Abzieher, B. A. Nejand, F. Schackmar, O. Almora, T. Feeney, R. Singh, D. Fuchs, U. Lemmer, J. P. Hofmann, S. A. L. Weber and U. W. Paetzold, Energy Environ. Sci., 2021, 14, 5875–5893 RSC.
  23. G. Kapil, T. Bessho, Y. Sanehira, S. R. Sahamir, M. Chen, A. K. Baranwal, D. Liu, Y. Sono, D. Hirotani, D. Nomura, K. Nishimura, M. A. Kamarudin, Q. Shen, H. Segawa and S. Hayase, ACS Energy Lett., 2022, 7, 966–974 CrossRef CAS.
  24. A. Al-Ashouri, E. Kohnen, B. Li, A. Magomedov, H. Hempel, P. Caprioglio, J. A. Marquez, A. B. Morales Vilches, E. Kasparavicius, J. A. Smith, N. Phung, D. Menzel, M. Grischek, L. Kegelmann, D. Skroblin, C. Gollwitzer, T. Malinauskas, M. Jost, G. Matic, B. Rech, R. Schlatmann, M. Topic, L. Korte, A. Abate, B. Stannowski, D. Neher, M. Stolterfoht, T. Unold, V. Getautis and S. Albrecht, Science, 2020, 370, 1300–1309 CrossRef CAS.
  25. M. Roß, S. Severin, M. B. Stutz, P. Wagner, H. Köbler, M. Favin-Lévêque, A. Al-Ashouri, P. Korb, P. Tockhorn, A. Abate, B. Stannowski, B. Rech and S. Albrecht, Adv. Energy Mater., 2021, 11, 2101460 CrossRef.
  26. A. Al-Ashouri, A. Magomedov, M. Ross, M. Jost, M. Talaikis, G. Chistiakova, T. Bertram, J. A. Marquez, E. Kohnen, E. Kasparavicius, S. Levcenco, L. Gil-Escrig, C. J. Hages, R. Schlatmann, B. Rech, T. Malinauskas, T. Unold, C. A. Kaufmann, L. Korte, G. Niaura, V. Getautis and S. Albrecht, Energy Environ. Sci., 2019, 12, 3356–3369 RSC.
  27. R. He, W. Wang, Z. Yi, F. Lang, C. Chen, J. Luo, J. Zhu, J. Thiesbrummel, S. Shah, K. Wei, Y. Luo, C. Wang, H. Lai, H. Huang, J. Zhou, B. Zou, X. Yin, S. Ren, X. Hao, L. Wu, J. Zhang, J. Zhang, M. Stolterfoht, F. Fu, W. Tang and D. Zhao, Nature, 2023, 618, 80–86 CrossRef CAS PubMed.
  28. W. Wang, Z. Lin, S. Gao, W. Zhu, X. Song and W. Tang, Adv. Funct. Mater., 2023, 33, 2303653 CrossRef CAS.
  29. P. J. Hotchkiss, S. C. Jones, S. A. Paniagua, A. Sharma, B. Kippelen, N. R. Armstrong and S. R. Marder, Acc. Chem. Res., 2012, 45, 337–346 CrossRef CAS PubMed.
  30. B. Chen, P. N. Rudd, S. Yang, Y. Yuan and J. Huang, Chem. Soc. Rev., 2019, 48, 3842–3867 RSC.
  31. S. Zhang, F. Ye, X. Wang, R. Chen, H. Zhang, L. Zhan, X. Jiang, Y. Li, X. Ji, S. Liu, M. Yu, F. Yu, Y. Zhang, R. Wu, Z. Liu, Z. Ning, D. Neher, L. Han, Y. Lin, H. Tian, W. Chen, M. Stolterfoht, L. Zhang, W.-H. Zhu and Y. Wu, Science, 2023, 380, 404–409 CrossRef CAS PubMed.
  32. M. Stolterfoht, P. Caprioglio, C. M. Wolff, J. A. Marquez, J. Nordmann, S. S. Zhang, D. Rothhardt, U. Hormann, Y. Amir, A. Redinger, L. Kegelmann, F. S. Zu, S. Albrecht, N. Koch, T. Kirchartz, M. Saliba, T. Unold and D. Neher, Energy Environ. Sci., 2019, 12, 2778–2788 RSC.
  33. A. Ullah, K. H. Park, H. D. Nguyen, Y. Siddique, S. F. A. Shah, H. Tran, S. Park, S. I. Lee, K. K. Lee, C. H. Han, K. Kim, S. Ahn, I. Jeong, Y. S. Park and S. Hong, Adv. Energy Mater., 2021, 12, 2103175 CrossRef.
  34. I. Levine, A. Al-Ashouri, A. Musiienko, H. Hempel, A. Magomedov, A. Drevilkauskaite, V. Getautis, D. Menzel, K. Hinrichs, T. Unold, S. Albrecht and T. Dittrich, Joule, 2021, 5, 2915–2933 CrossRef CAS.
  35. I. Kafedjiska, I. Levine, A. Musiienko, N. Maticiuc, T. Bertram, A. Al-Ashouri, C. A. Kaufmann, S. Albrecht, R. Schlatmann and I. Lauermann, Adv. Funct. Mater., 2023, 33(34), 2302924 CrossRef CAS.
  36. W. Jiang, F. Li, M. Li, F. Qi, F. R. R. Lin and A. K. Y. Jen, Angew. Chem., Int. Ed., 2022, 61, 221356 Search PubMed.
  37. W. Wang, K. Wei, L. Yang, J. Deng, J. Zhang and W. Tang, Mater. Horiz., 2023, 10, 2609–2617 RSC.
  38. Y. Zheng, X. Wu, J. Liang, Z. Zhang, J. Jiang, J. Wang, Y. Huang, C. Tian, L. Wang, Z. Chen and C. C. Chen, Adv. Funct. Mater., 2022, 32, 2200431 CrossRef CAS.
  39. Y. Cheng, X. Liu, Z. Guan, M. Li, Z. Zeng, H. W. Li, S. W. Tsang, A. G. Aberle and F. Lin, Adv. Mater., 2020, 33, 2006170 CrossRef.
  40. J. Warby, F. S. Zu, S. Zeiske, E. Gutierrez-Partida, L. Frohloff, S. Kahmann, K. Frohna, E. Mosconi, E. Radicchi, F. Lang, S. Shah, F. Pena-Camargo, H. Hempel, T. Unold, N. Koch, A. Armin, F. De Angelis, S. D. Stranks, D. Neher and M. Stolterfoht, Adv. Energy Mater., 2022, 12, 2103567 CrossRef CAS.
  41. C. Chen, J. Liang, J. Zhang, X. Liu, X. Yin, H. Cui, H. Wang, C. Wang, Z. Li, J. Gong, Q. Lin, W. Ke, C. Tao, B. Da, Z. Ding, X. Xiao and G. Fang, Nano Energy, 2021, 90, 106608 CrossRef CAS.
  42. J. Liang, C. Chen, X. Hu, Z. Chen, X. Zheng, J. Li, H. Wang, F. Ye, M. Xiao, Z. Lu, Y. Xu, S. Zhang, R. Yu, C. Tao and G. Fang, ACS Appl. Mater. Interfaces, 2020, 12, 48458–48466 CrossRef CAS.
  43. J. Wang, J. Zhang, Y. Zhou, H. Liu, Q. Xue, X. Li, C. C. Chueh, H. L. Yip, Z. Zhu and A. K. Y. Jen, Nat. Commun., 2020, 11, 177 CrossRef CAS.
  44. W. Tress, N. Marinova, O. Inganäs, M. K. Nazeeruddin, S. M. Zakeeruddin and M. Graetzel, Adv. Energy Mater., 2014, 5, 1400812 CrossRef.

Footnotes

Electronic supplementary information (ESI) available. See DOI: https://doi.org/10.1039/d3ee02839a
These authors contributed equally.

This journal is © The Royal Society of Chemistry 2024
Click here to see how this site uses Cookies. View our privacy policy here.