Open Access Article
This Open Access Article is licensed under a Creative Commons Attribution-Non Commercial 3.0 Unported Licence

Non-contact measurement of ion mobility in single halide perovskite particles

Yu-Ling Zoua, Ke Lia, Ben Niua, Bangyi Yueb, Qiang Chenb, Yuxi Tian*a and Wei Wang*a
aState Key Laboratory of Analytical Chemistry for Life Science, Chemistry and Biomedicine Innovation Center (ChemBIC), School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, Jiangsu 210023, China. E-mail: wei.wang@nju.edu.cn; tyx@nju.edu.cn
bHigh-Tech Research Institute of Nanjing University, Changzhou, Jiangsu 213164, China

Received 12th June 2025 , Accepted 22nd October 2025

First published on 29th October 2025


Abstract

Halide perovskites, with tunable photovoltaic properties, is one of the most attractive materials in photovoltaics. The non-negligible soft lattice in perovskites induces vacancy-mediated ion migration, which is crucial to the device's efficiency and long-term stability. However, the methodologies to quantify and directly observe ion migration often require the direct contact of a metal electrode with the perovskite materials, where interfacial interactions and interior ion migration are intertwined. Here, we developed a non-contact method to evaluate the ion mobility of MAPbBr3 via combining PL microscopy and an interpenetrating electrode device. We demonstrated the polarization and recovery dynamics of single MAPbBr3 particles in an external electric field, as measured by modulation of the optical contrast during switching of the external electric field. The PL intensity was suppressed under the external electric field, which was mainly attributed to the ion migration. And, the PL spectra showed that the blue-shift of MAPbBr3 originated from lattice distortions induced by field-induced ion migration. Most importantly, we obtained an intrinsic ion mobility for single MAPbBr3 particles of (2.56 ± 0.67) × 10−10 cm2 V−1 s−1 under non-contact conditions.


Introduction

In the family of halide perovskites, ion migration is a widely observed solid-state electrochemical phenomenon, attributed to their intrinsic soft ionic lattice structure and hybrid electron–ion conduction properties.1,2 The ion migration in halide perovskites is generally considered to be an important factor leading to anomalous effects in hysteresis behavior,3 and phase segregation,4,5 allowing for the migration of structural defects under external stimuli, such as temperature,6,7 photoexcitation,8 and electric fields.9 To understand the effect of ion dynamics on the efficiency and stability of perovskite devices, various methods have been developed to assess ion migration, including current–voltage,10,11 impedance spectroscopy,12 and deep-level transient spectroscopy,13 all of which have excellent time resolution. However, it is crucial for perovskite devices to detect spatiotemporal dynamic information as well. Along these lines, imaging the dynamics of moving ions would provide insight into ion migration in perovskite materials.

Recently, the introduction of various advanced microscopy techniques has significantly enhanced the ability to perform spatially resolved characterization in different materials.14 For instance, Kelvin probe force microscopy (KPFM) enables nanoscale spatial imaging of surface potentials,15,16 dark lock-in thermography (DLIT) technology evaluates local power dissipation,17 and photoluminescence (PL) microscopy, combining spatial and temporal resolution, allows real-time, quantitative analysis of in situ ion migration processes in perovskite materials.18,19 To record the in situ migration of ions under an electric field, it is necessary to design an optimal electrode structure to study the ion migration under external stimuli. Ongoing PL imaging typically requires that the perovskite materials are fabricated as a thin film and tightly fitted to the electrode device with a lateral orientation.20 While this is a simple and common method to characterize the quality and stability of perovskite films, the deposited films normally exhibit high defect densities, and their intrinsic ion mobility could be overestimated.21 More importantly, the contact properties of perovskites with metal electrodes are often highly defective, and the charge transfer of this heterogeneous structure receives impediments.22 Thus, the effects of carrier transport and interface transfer are often intertwined,20,23 making it difficult to decouple interfacial and interior contributions and obtain intrinsic mobile ion diffusion in perovskites.24,25 Monitoring the intrinsic ion mobility with in situ non-contact methods in perovskites devices is hence desirable, but is yet to be demonstrated.

In this work, we demonstrated a strategy that combined PL microscopy and interpenetrating electrode devices to reveal the effect of an external electric field on the intrinsic ion mobility of single particles in a non-contact manner for the first time. We grew MAPbBr3 perovskite particles in situ on an interpenetrating electrode and investigated the effect of the external electric field on the polarization dynamics of MAPbBr3 particles by applying an electric field of 130 kV cm−1. We found that the PL intensity of MAPbBr3 particles was suppressed under the external electric field, and there was a clear correlation of both particle size and electric field intensity with the polarization dynamics, which was mainly attributed to the movement of ions. The PL spectral blue-shift experimentally demonstrated that the external electric field response of MAPbBr3 originated from lattice distortions introduced by the field-induced ion migration. In particular, we obtained the ion mobility of MAPbBr3 about (2.56 ± 0.67) × 10−10 cm2 V−1 s−1 at the single-particle level.

Results and discussion

Optical imaging of single MAPbBr3 by photoluminescence (PL) microscopy

We spin-coated the diluted MAPbBr3 solutions onto the interpenetrating electrode devices, and grew MAPbBr3 particles in situ. The ion migration behavior of MAPbBr3 particles was investigated by applying a periodic external electric field between the electrodes. As one of the typical halide perovskites, MAPbBr3 undergoes polarization under an electric field, which results in the ionic movement of MA cations and Br anions in specific directions.26 In particular, with the external electric field, the vacancies/defects formed by migrating ions, acting as non-radiative recombination centers, promote non-radiative recombination,27 and the interfacial polarization field perturbs the radiative recombination pathways of excitons.28 These effects lead to PL spectral shifts and pronounced PL quenching. This optical response provided a direct and quantitative probe for investigating ion migration dynamics at the single-particle level.

The PL imaging system was equipped with tailored interpenetrating electrodes. The MAPbBr3 particles were uniformly dispersed on the substrate, where the studied particles were situated on the bare quartz substrate in the middle of the electrodes, without direct contact with the electrodes.29 When an external electric field was applied between the electrodes, it induced perovskite particle polarization and drove ion migration without any current flowing through the perovskite materials. This approach effectively avoided the effects of carrier injection and interfacial charge transport layers, which facilitate the decoupling of interfacial and intrinsic contributions to reveal intrinsic mobility in perovskite materials (Fig. 1a). During the application of the external electric field, we utilized a function generator to modulate the electric field and a voltage amplifier to amplify the field. We simultaneously recorded the voltage signal from the function generator and the transistor–transistor logic signal from the camera via a data acquisition card. In order to have enough time to capture the migration of the ions, a square wave voltage was applied to the electrodes for a period of 30 seconds. More details about the PL imaging system and the parameters of interpenetrating electrodes are provided in Fig. S1 and S2.


image file: d5sc04296h-f1.tif
Fig. 1 The optical measurements of MAPbBr3 under an external electric field. (a) The schematic of a classical contact perovskite device (top) and the electric field-induced non-contact perovskite device in this work (bottom). (b) The evolution of PL intensity with time under external electric field control. (c) The evolution of the PL intensity for a 10-cycle superposition (grey line) and the average curve (red line). The inset is the raw image of individual MAPbBr3 particles with/without the external electric field. (d) The switching efficiency of an individual particle with different external electric fields in 10 cycles. (e) The histogram of switching efficiency for 43 particles at different external electric fields.

MAPbBr3 particle response to the external electric field

To investigate the response behavior of MAPbBr3 particles under an external electric field, we performed PL imaging of individual particles. When a voltage of 130 V was applied to two electrodes separated by 10 μm, an external electric field of up to 130 kV cm−1 was established instantaneously in the gap. As shown in Fig. 1b, the PL switching behavior of single MAPbBr3 particles on a bare quartz substrate was directly observed by applying a square-wave electric field modulation. When the external electric field was established, the PL of the MAPbBr3 particle was suppressed on a time scale of 5 s and maintained a stable PL intensity thereafter. When the external electric field was removed, their PL was recovered on a similar time scale. Periodic modulation of the external electric field resulted in alternating MAPbBr3 particle polarization and recovery, with periodic fluctuations being exhibited in the PL intensity trajectory of individual MAPbBr3 particles (Fig. 1b). These results suggest a reversible polarization process of perovskite materials, which is consistent with previous studies.30

To quantitatively describe the PL switching performance, we defined the switching efficiency (SE) as the relative PL intensity difference between ON and OFF states:

image file: d5sc04296h-t1.tif
where PLon and PLoff are the stabilized PL intensity of the ON and OFF state, respectively (Fig. 1c). Previous studies showed that the PL intensity of perovskite films was suppressed under an external electric field. This phenomenon was mostly attributed to electric field induced ion migration processes, manifested as the formation of vacancies/defects and the generation of interfacial polarization. These effects modified the PL emission process under the external electric fields: the vacancies/defects formed by migrating ions acted as non-radiative recombination centers, promoting non-radiative recombination;27 meanwhile, the interfacial polarization electric field perturbed the radiative recombination pathways of excitons.28 Thus, they collectively lead to the suppression of PL emission under the external electric fields (Fig. S3). We specifically discuss them in the results below.

The correlation between the SE and the external electric field is shown in Fig. 1d and e. The PL intensity was gradually suppressed with the increase of the external electric field, indicating that a higher external electric field provided more energy to induce perovskites to undergo polarization and their ions to migrate. When more ions were involved in the migration, the displacement of the optical centroid of individual MAPbBr3 increased, and a higher PL intensity contrast between ON and OFF states was obtained (Fig. S4–S6). Moreover, we applied an external electric field from zero stepwise to the maximal field (90–130 kV cm−1) to verify the reversible behavior (Fig. S7). It is worth mentioning that electron–hole charge separation is not negligible under the electric field, and this process usually suppresses the radiative recombination pathway, leading to the reduction of PL intensity.31 As the nanosecond decay and second decay were attributed to electron dynamics and ion dynamics, respectively; ion migration was the dominant process for PL switching of MAPbBr3 particles in the presence of an external electric field.32,33 This slow-decaying PL image facilitated us to analyze the ion dynamics under an external electric field, and achieved the intrinsic ion mobility measurement of perovskite particles.

Ion mobility of single MAPbBr3 particles

To understand the intrinsic ion mobility of MAPbBr3 particles, we recorded the PL intensity evolution of MAPbBr3 particles with different sizes at room temperature and carried out dynamics analyses under electric field switching processing (Fig. S8). To compare the polarization dynamics for particles of different sizes, we standardized the PL intensity of the MAPbBr3 particles by the corresponding initial intensity, and superimposed the evolution of the PL intensities for each cycle. Representative PL optical curves of three individuals with different side lengths (658 nm, 871 nm, and 1270 nm) were further analysed in detail as shown in Fig. 2a–f. The blue area represented the case after the withdrawal of the electric field, while the orange area represented the case with a 130 kV cm−1 electric field. Considering that the single particle possesses PL blinking behavior, this leads to fluctuations in its PL intensity. Thus, we counted and averaged the polarization and recovery dynamics over 10 cycles of PL curves to mitigate the effect of fluctuations on the quantitative analysis. Considering that the perovskite particles were almost certainly not experiencing a temporally constant electric field. Specifically, the initial decay process correlated with rapid ion migration driven by a strong internal electric field. Subsequently, charge redistribution caused by ion migration induced a screening effect, leading to a gradual weakening of the internal electric field. This process manifested as slower decay dynamics. To accurately describe this time-dependent internal electric field evolution and its impact on PL dynamics, we fit the PL decay curves of perovskite materials via a biexponential function, which can be well fitted with the experimental data:
image file: d5sc04296h-t2.tif

image file: d5sc04296h-t3.tif
where I0 is the optional constant offset component, τ1 and τ2 are the time constants, I1 and I2 are the related pre-exponential factors, and τ is the average PL dynamic time. Before the electric field switching (0–5 s), the PL intensities of all particles were stable, indicating that the recovery (polarization) process had been completed. Subsequently, the electric field was switched (5–20 s) and the MAPbBr3 particles began to polarize (recovery). Obviously, dynamics times with polarization and recovery processes were significantly faster for the smaller particles (#1, Fig. 2a and b) than for the larger ones (#3, Fig. 2c and f). The electron dynamics was typically at the nanosecond time scale when exciton radiative and non-radiative recombination was the main decay process.34 Considering that all dynamics in our work were slow processes, the polarization and recovery time of all MAPbBr3 particles were on the second scale, which was consistent with the assumption that the inner ions of the MAPbBr3 particles migrate under an external electric field.

image file: d5sc04296h-f2.tif
Fig. 2 The polarization and recovery dynamics with different sizes. The polarization process and recovery process of three individuals with side lengths of (a and d) 658 nm, (b and e) 871 nm, and (c and f) 1270 nm at 130 kV cm−1. The scale bar is 1 μm. (g and h) Linear correlation of the dynamic time constant with particle size.

To further validate the size-dependent electric field polarization dynamics of MAPbBr3, we analyzed the optical response curves of 20 MAPbBr3 individuals in the field of view. The corresponding polarization and recovery time of individuals are plotted in Fig. 2g and h, respectively. Although the particle heterogeneity resulting from the synthesis process caused data dispersion, the polarization (recovery) time generally still showed a gradual increase with increasing particle size. Previous studies showed that the ion drift velocity can be expressed as ν = L/τ, where L is the channel length.1 Considering that the single halide perovskite particles were non-contact with the electrodes in our work, it is reasonable that their channel length was expressed as the size of particles, and size linearly correlated with the polarization (recovery) time. Moreover, since the ion drift velocity is a function of both the intrinsic material properties and the external driving force, we will further discuss the influence of external electric fields on ion migration in the following discussion.

To understand the external electric field dependence of ion mobility, we counted and analysed the dynamic evolution of the MAPbBr3 particles under different external electric field strengths from 90 to 130 kV cm−1 for 10 cycles each. All the measured optical curves of MAPbBr3 particles were statistically taken into account to get the average curves and polarization (recovery) time (Fig. 3a, b and S9). The polarization and recovery times of 43 particles were collected to construct histograms (Fig. 3c). As the electric field increased, we found that the polarization dynamics were related to the external electric field switching magnitude, while the recovery dynamics were uncorrelated with that. For the former (polarization), this was attributed to that, at a larger external electric field, the alignment of the ion was easier, requiring less polarization time and faster dynamics.35,36 For the latter (recovery), the external electric field was switched to zero, in other words, the external electric field was uninvolved in the recovery process and did not interfere with its dynamics. Then, we described the velocity of the ion migration as a function of the external electric field. By applying the various external electric fields, we found that the polarization dynamics were proportional to the external electric field, as shown in Fig. 3d. This ion migration can be described by a simple theory, which was based on a first-order approximation that neglected ion diffusion:37,38

image file: d5sc04296h-t4.tif
where the μion is defined as the ratio between the ion drifting velocity (v) and external electrical field strength. We plotted drifting velocity versus the external electric field, and found that both are essentially linearly correlated (Fig. S10), suggesting that the formula was applicable. Moreover, we performed statistics on the calculated ion mobility and plotted the corresponding histograms (Fig. 3e). By fitting the field-dependent ion migration, the mobility of ions can be obtained as (2.56 ± 0.67)×10−10 cm2 V−1 s−1. Following the Einstein relation,39 the correlation between ion mobility and diffusion coefficient (D) is established as:
D = μionkBT/q
where kB is the Boltzmann constant, T is the absolute temperature, and q is the electron charge. Thus, we obtained a diffusion coefficient of around 6.58 × 10−12 cm2 s−1 for single MAPbBr3 particles, which was consistent with that of single crystals.40


image file: d5sc04296h-f3.tif
Fig. 3 The ion mobility of single MAPbBr3 particles under different external electric fields. (a) The PL curves of the polarization process under different external electric fields of the representative individual MAPbBr3 particle. The solid lines are the corresponding fitting results. (b) The evolution of polarization and recovery time to external electric fields of the representative individual MAPbBr3 particle. (c) The histogram of the polarization (orange) and recovery (blue) time under different external electric fields. (d) The evolution of the statistical polarization and recovery time to the external electric field. (e) The histogram of ion mobility.

Electrically driven reversible blue-shifted PL of MAPbBr3 particles

To verify the influence of the electric field on ion migration, we tracked the PL emission spectra of individual MAPbBr3 particles in the presence of an external electric field. Before performing the PL spectra measurements, we calibrated the combination of the spectrograph and the camera, and corresponded each pixel of the spectral images to the wavelength (Fig. S11). The single MAPbBr3 particle was exposed to a periodic applied electric field and excited at 445 nm, while the PL spectra of single particles were recorded (Fig. 4a). The PL spectra absence/presence of 130 kV cm−1 electric field modulation was indicated at the bottom (blue/orange block). It was found that the PL intensity decayed in the presence of an external electric field, which was consistent with the above results.
image file: d5sc04296h-f4.tif
Fig. 4 The PL spectra of MAPbBr3 single particle with the modulation of the external electric field. (a) The pseudo-colored successive spectra of the representative single MAPbBr3 particle without/with external electric field for the 0 V to 130 kV cm−1 measurement. (b) The PL shift between subsequent frames ‘without external electric field’ and ‘with external electric field’ from the measurement. The left panel was the time trace of PL shift. The right panel was the histogram of PL shifts fitted by a normal distribution. (c) The Lorentzian-fitted PL peak position of successive spectra under the different external electric fields. (d) The evolution of PL spectral shifts with external electric fields.

To clarify the modulation of the PL spectra, we carried out the Lorentzian-fitting to the spectra of each frame and obtained the PL peak positions.41 Fig. 4b presents blue regions showing the PL spectral shift between subsequent frames without an external electric field, where the PL shift of the mean frame was around 0 nm (blue). In contrast, the spectral shift between subsequent frames with an external electric field modulated at 130 kV cm−1 (orange) exhibited an average frame shift of −0.86 nm towards higher energy emission. Previous studies showed that in the presence of the electric field, ion migration from the polarization of perovskite particles can cause lattice distortions, which modulated their energy bandgap and resulted in spectral blue-shift.4 Once the external electric field was removed, the ions were driven by the mixing entropy and the concentration gradient to fill the original position. The MAPbBr3 particles exhibited reversible blue-shift of the PL spectra under a periodic external electric field, which was attributed to the migration of the ions and subsequent lattice distortion.

To further understand the electrically driven reversible blue-shifted PL of MAPbBr3 particles, we monitored the evolution of the PL shift at different external electric fields (Fig. S12). Obviously, the PL peak position exhibited a reversible spectral blue-shift during electric field cycling of individual particles, and the blue-shift increased when applying a larger external electric field (Fig. 4c). We performed histogram statistics for the spectral shift in the absence/presence of the external electric field, and they possessed normally distributed probabilities induced by the spectral shift (Fig. S13). From this, we extracted the most probable PL peaks, and associated them with the external electric field, as shown in Fig. 4d and S14. The field-induced spectral shifts were found to be linear, namely, shifting to higher energies due to an increase in the external electric field. The linear correlation of the spectral blue-shift with the external electric field was consistent with the above trend of field-induced dynamics evolution (Fig. 3d). The migration of ions was facilitated by the higher external electric field, which further shortened the polarization time and modified the Pb–Br bond angle and length, leading to subsequent lattice distortion and increased blue-shift.

Conclusions

In summary, we developed a strategy combining PL microscopy and an interpenetrating electrode device to monitor the polarization and recovery processes of single perovskite particles in a quantitative, non-contact, and high-throughput manner. With this strategy, direct contact between the metal electrode and the perovskite material was avoided. It not only achieves the decoupling of interfacial and interior contributions, but also facilitates the investigations on single nanoparticles, where microfabrication of metal–perovskite–metal configurations can be technically challenging. The PL intensity of MAPbBr3 particles was suppressed under an external electric field, which was dominated by the migration of the ions and their triggered chemical processes. The size-dependent and field-dependent polarization dynamics of MAPbBr3 were further investigated at the single particle level, and both showed significant correlations with the dynamics time. In addition, the PL spectra were investigated for the energy shift of MAPbBr3 under the external electric field, which was suggested to originate from lattice distortions caused by field-induced ion migration. Combining PL images and spectra, the ion mobility of MAPbBr3 was deduced to be around (2.56 ± 0.67) × 10−10 cm2 V−1 s−1 at the single-particle level. It offers the potential for non-contact evaluation of novel optoelectronic materials.

Author contributions

W. W. conceived the idea, and W. W. and Y. T. supervised this project. Y.-L. Z., B. N., B. Y., and Q. C. carried out the photoluminescence experiments. K. L. synthesized the MAPbBr3 particles. W. W. and Y.-L. Z. analysed the data and wrote the manuscript. All authors contributed to reviewing and editing the final manuscript. Collaboration of this work was managed by W. W. and Y. T.

Conflicts of interest

There are no conflicts to declare.

Data availability

The data supporting this article have been included as part of the supplementary information (SI). Supplementary information: details of experimental methods, characterisation data. See DOI: https://doi.org/10.1039/d5sc04296h.

Acknowledgements

This work was supported by the National Natural Science Foundation of China (No. 21925403 and 22073046), the Excellent Research Program of Nanjing University (Grant No. ZYJH004), and the Science and Technology Support Program (Industry Foresight and Key Core Technologies) of Changzhou (CE20230011).

Notes and references

  1. N. Yantara and N. Mathews, Joule, 2024, 8, 1239 CrossRef CAS.
  2. V. Hazra, A. Mandal and S. Bhattacharyya, Chem. Sci., 2024, 15, 7374 RSC.
  3. Q. Xiong, C. Wang, Q. Zhou, L. Wang, X. Wang, L. Yang, J. Ding, C.-c. Chen, J. Wu, X. Li and P. Gao, Adv. Funct. Mater., 2022, 32, 2107823 CrossRef CAS.
  4. H. Zhang, X. Fu, Y. Tang, H. Wang, C. Zhang, W. W. Yu, X. Wang, Y. Zhang and M. Xiao, Nat. Commun., 2019, 10, 1088 CrossRef CAS PubMed.
  5. M. Lee, J. A. Vigil, Z. Jiang and H. I. Karunadasa, Chem. Sci., 2025, 16, 9662 RSC.
  6. J. Cao, S. X. Tao, P. A. Bobbert, C.-P. Wong and N. Zhao, Adv. Mater., 2018, 30, 1707350 CrossRef PubMed.
  7. X. Xiao, J. Dai, Y. Fang, J. Zhao, X. Zheng, S. Tang, P. N. Rudd, X. C. Zeng and J. Huang, ACS Energy Lett., 2018, 3, 684 CrossRef CAS.
  8. Y.-T. Li, L. Ding, J.-Z. Li, J. Kang, D.-H. Li, L. Ren, Z.-Y. Ju, M.-X. Sun, J.-Q. Ma, Y. Tian, G.-Y. Gou, D. Xie, H. Tian, Y. Yang, L.-W. Wang, L.-M. Peng and T.-L. Ren, ACS Cent. Sci., 2019, 5, 1857 CrossRef CAS PubMed.
  9. T. Roh, H. Zhu, W. Yang, A. Liu and Y.-Y. Noh, ACS Energy Lett., 2023, 8, 957 CrossRef CAS.
  10. J. Zhang, X. Niu, C. Peng, H. Jiang, L. Yu, H. Zhou and Z. Zhou, Angew. Chem., Int. Ed., 2023, 62, e202314106 CrossRef CAS PubMed.
  11. X. Ji, Y. Zhao, X. Chen, S. Zhang, L. Zhan, H. Zhang, W. Zheng, W.-H. Zhu and Y. Wu, Chem. Sci., 2025, 16, 8569 RSC.
  12. C. A. Aranda, A. O. Alvarez, V. S. Chivrony, C. Das, M. Rai and M. Saliba, Joule, 2024, 8, 241 CrossRef CAS.
  13. J. Liu, M. Wang, J. Lin, G. Chen, B. Liu, J. Huang, M. Zhang, G. Liang, L. Lu, P. Xu, B. Tian, H.-S. Kwok and G. Li, J. Mater. Chem. A, 2022, 10, 17237 RSC.
  14. M. C. Schubert, L. E. Mundt, D. Walter, A. Fell and S. W. Glunz, Adv. Energy Mater., 2020, 10, 1904001 CrossRef CAS.
  15. V. W. Bergmann, S. A. L. Weber, F. Javier Ramos, M. K. Nazeeruddin, M. Grätzel, D. Li, A. L. Domanski, I. Lieberwirth, S. Ahmad and R. Berger, Nat. Commun., 2014, 5, 5001 CrossRef CAS PubMed.
  16. Y. Yuan, J. Chae, Y. Shao, Q. Wang, Z. Xiao, A. Centrone and J. Huang, Adv. Energy Mater., 2015, 5, 1500615 CrossRef.
  17. O. Breitenstein, F. Fertig and J. Bauer, Sol. Energy Mater. Sol. Cells, 2015, 143, 406 CrossRef CAS.
  18. J. Zhang, C. Li, M. Chen and K. Huang, J. Phys. D: Appl. Phys., 2020, 54, 044002 CrossRef.
  19. D. A. Jacobs, C. M. Wolff, X.-Y. Chin, K. Artuk, C. Ballif and Q. Jeangros, Energy Environ. Sci., 2022, 15, 5324 RSC.
  20. M. Saqib, Y. Fan, R. Hao and B. Zhang, Nano Energy, 2021, 90, 106539 CrossRef CAS.
  21. Z. Le, A. Liu, Y. Reo, S. Bai, Y.-Y. Noh and H. Zhu, ACS Energy Lett., 2024, 9, 1639 CrossRef CAS.
  22. F. H. Isikgor, S. Zhumagali, L. V. T. Merino, M. De Bastiani, I. McCulloch and S. De Wolf, Nat. Rev. Mater., 2023, 8, 89 CrossRef CAS.
  23. Y. Fu, B. Xie, M. Liu, S. Hou, Q. Zhu, A. Kuhn, L. Zhang, W. Yang and N. Sojic, Chem. Sci., 2024, 15, 19907 RSC.
  24. L. Chen, H. Wang, W. Zhang, F. Li, Z. Wang, X. Wang, Y. Shao and J. Shao, ACS Appl. Mater. Interfaces, 2022, 14, 10917 CrossRef CAS PubMed.
  25. L. Gong, J. Yang, W. Sheng, Y. Zhong, Y. Su, L. Tan and Y. Chen, CCS Chem., 2022, 5, 1202 CrossRef.
  26. L. McGovern, M. H. Futscher, L. A. Muscarella and B. Ehrler, J. Phys. Chem. Lett., 2020, 11, 7127 CrossRef CAS PubMed.
  27. C. Li, A. Guerrero, S. Huettner and J. Bisquert, Nat. Commun., 2018, 9, 5113 CrossRef PubMed.
  28. Y. Su, H. Xie, C. Li, Z. Xia, W. Xu, Z. Mao, G. Zhan, K. Liao, J. Li, J. Li, J. Zhang, Y. Yin and L. Wang, Adv. Funct. Mater., 2025, 2505380,  DOI:10.1002/adfm.202505380.
  29. K. Missaoui, G. Wantz, T. Toupance, S. Chambon and A. Kuhn, Chem. Sci., 2025, 16, 10691–10700,  10.1039/D5SC00802F.
  30. H. Wang, Y. Yin, J. Xu, J. Li, Y. Bao, M. An, L. Tang, S. Jin, W. Tian and Y. Yang, ACS Nano, 2023, 17, 23671 CrossRef CAS PubMed.
  31. S. Shrestha, X. Li, H. Tsai, C.-H. Hou, H.-H. Huang, D. Ghosh, J.-J. Shyue, L. Wang, S. Tretiak, X. Ma and W. Nie, Chem, 2022, 8, 1107 CAS.
  32. Y. Zhao, W. Zhou, W. Ma, S. Meng, H. Li, J. Wei, R. Fu, K. Liu, D. Yu and Q. Zhao, ACS Energy Lett., 2016, 1, 266 CrossRef CAS.
  33. S. Zhao, J. Leng, S. Wang, X. Yan, Z. Yin, Y. Yin, J. Zhang and S. Jin, Chem. Sci., 2022, 13, 8334 RSC.
  34. K. Wu, G. Liang, Q. Shang, Y. Ren, D. Kong and T. Lian, J. Am. Chem. Soc., 2015, 137, 12792 CrossRef CAS PubMed.
  35. R. Chen, G. Zhang, Y. Gao, L. Xiao and S. Jia, Appl. Phys. Lett., 2012, 100, 203118 CrossRef.
  36. S. Tiewcharoen, C. Warakulwit, V. Lapeyre, P. Garrigue, L. Fourier, C. Elissalde, S. Buffière, P. Legros, M. Gayot, J. Limtrakul and A. Kuhn, Angew. Chem., Int. Ed., 2017, 56, 11431 CrossRef CAS PubMed.
  37. C. Li, A. Guerrero, Y. Zhong, A. Gräser, C. A. M. Luna, J. Köhler, J. Bisquert, R. Hildner and S. Huettner, Small, 2017, 13, 1701711 CrossRef PubMed.
  38. P. Fassl, S. Ternes, V. Lami, Y. Zakharko, D. Heimfarth, P. E. Hopkinson, F. Paulus, A. D. Taylor, J. Zaumseil and Y. Vaynzof, ACS Appl. Mater. Interfaces, 2019, 11, 2490 CrossRef CAS PubMed.
  39. J. Y. Park, Y. H. Lee, M. A. Zaman Mamun, M. M. Fahimul Islam, S. Zhang, K. Ma, A. U. Gaitonde, K. Wang, S. J. Yang, A. Marconnet, J. Mei, M. A. Alam and L. Dou, Matter, 2024, 7, 1817 CrossRef CAS.
  40. J. Xing, Q. Wang, Q. Dong, Y. Yuan, Y. Fang and J. Huang, Phys. Chem. Chem. Phys., 2016, 18, 30484 RSC.
  41. S. Liu, A. S. Arce, S. Nilsson, D. Albinsson, L. Hellberg, S. Alekseeva and C. Langhammer, ACS Nano, 2019, 13, 6090 CrossRef CAS PubMed.

This journal is © The Royal Society of Chemistry 2025
Click here to see how this site uses Cookies. View our privacy policy here.