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Carrier lifetime enhancement in halide perovskite via remote epitaxy

A Publisher Correction to this article was published on 16 October 2019

This article has been updated


Crystallographic dislocation has been well-known to be one of the major causes responsible for the unfavorable carrier dynamics in conventional semiconductor devices. Halide perovskite has exhibited promising applications in optoelectronic devices. However, how dislocation impacts its carrier dynamics in the ‘defects-tolerant’ halide perovskite is largely unknown. Here, via a remote epitaxy approach using polar substrates coated with graphene, we synthesize epitaxial halide perovskite with controlled dislocation density. First-principle calculations and molecular-dynamics simulations reveal weak film-substrate interaction and low density dislocation mechanism in remote epitaxy, respectively. High-resolution transmission electron microscopy, high-resolution atomic force microscopy and Cs-corrected scanning transmission electron microscopy unveil the lattice/atomic and dislocation structure of the remote epitaxial film. The controlling of dislocation density enables the unveiling of the dislocation-carrier dynamic relation in halide perovskite. The study provides an avenue to develop free-standing halide perovskite film with low dislocation density and improved carried dynamics.


Dislocation, a crystallographic defect in a crystal structure, is well-known to strongly affect the material’s physical properties. Electron-hole recombination mediated via dislocations (e.g., threading dislocation) is one of the predominant loss mechanisms for the sub-optimum performance in semiconductors devices. Typical examples include the quantum efficiency loss in GaN-based light-emitting diodes (LEDs)1,2 and GaAs solar cells3. The relationship between dislocation and carrier dynamic has been well experimentally investigated and understood in conventional semiconductors such as GaN4 and Si5. Recently, halide perovskite has been showing great promises6,7 in many semiconductor devices such as photovoltaics8,9,10, LEDs11,12, lasers13,14,15, photodetectors16,17 and transistors18,19. Despite their ‘defects-tolerant’ nature20,21,22, the effects of grain boundary23,24,25,26,27, interfaces16,28,29, points defects8,30,31,32, and phase impurity33,34,35 in halide perovskite on the carrier dynamics and device performances have been widely recognized and studied31,36,37,38,39. However, its dislocation-carrier dynamic relation has never been unveiled. Whether dislocation could severely disturb halide perovskite’s carrier dynamics has been remaining a puzzle. The lack of dislocation-carrier dynamic study has been mainly due to the inability in controlling dislocation configurations and quantifies.

Recently, monolayer graphene was introduced as a buffer layer for epitaxial growth of semiconductor materials such as GaAs40,41. With this concept, remote heteroepitaxy was achieved in the systems of AlN film on sapphire42, copper film on sapphire43, and ZnO film on GaN44. In these studies, it is believed that the graphene buffer layer screens the majority of the substrate electrostatic potential but still allows a weak substrate-film coupling45,46. In addition to graphene transparency, the strong polarity of substrates that provides long-distance electrostatic decaying potential is believed to be the other substantial factor enabling remote epitaxy40,41. In this report, by taking advantages of the concept of remote epitaxy and its ability in controlling film-substrate coupling and further regulating dislocation densities (misfit and then threading), we have successfully epitaxially grown halide perovskite crystals and films of controlled dislocations (derived from the density of etching rosettes) on two strong polar NaCl and CaF2 substrates with monolayer graphene buffered. Density functional theory (DFT) calculations have revealed the structure and magnitude of the incompletely screened electrostatic potential from the polar substrates, supporting the remote epitaxy in the present case. The regulated film-substrate interactions have further reflected themselves in controlling the wavelengths of the ferroelastic domains. Molecular-dynamics (MD) simulations reveal the kinetic process during remote epitaxy. Comparing to the ionic epitaxy with high dislocation density (both misfit and threading), the film grown via remote shows much enhanced photoluminescence intensity and increased carrier lifetime. Our successful demonstration of remote epitaxy in halide perovskite provides an approach to develop free-standing halide perovskite film with reduced dislocation density. More importantly, dislocations and their impacts on carrier dynamics and device performance in halide perovskite have to be recognized and scrutinized.


Epitaxy relation and lattice structure

Before growth, graphene layers are transferred onto NaCl(001) and CaF2(001) as substrates (Gr/NaCl(001) and Gr/NaCl(001)) for remote epitaxy. Optical images in Supplementary Fig. 1a and e show the surface morphology of Gr/NaCl(001) and Gr/NaCl(001). Both defected region47 (low intensity ratio of 2D and G bands in Supplementary Fig. 1c and g, and high intensity of D and G bands in Supplementary Fig. 1d and h) and good region (high intensity ratio of 2D and G bands in Supplementary Fig. 1c and g, and low intensity ratio of D and G bands in Supplementary Fig. 1d and h) of graphene on substrates are characterized by Raman spectra and mappings, as shown in Supplementary Fig. 1b–d and f–h. The atomic-scale structures of graphene surface on both NaCl(001) and CaF2(001) substrates are investigated by high resolution atomic force microscopy (HRAFM), as shown in Supplementary Fig. 2a and c, respectively. Supplementary Fig. 2b and d show the fast Fourier transforms (FFT) and the bright spots can be indexed to graphene structure. The spots splitting in Supplementary Fig. 2b and the unclear additional spots in Supplementary Fig. 2d could be induced by the chemical potential influence from the substrates underneath.

Chemical vapor deposition (CVD) method was used to achieve both ionic and remote epitaxy (more details can be found in Methods, Characterizations in Supplementary Information). Under optimized growth condition, two typical samples were grown, including CsPbBr3 thin film grown on NaCl(001) substrate (CsPbBr3/NaCl, i.e., ionic epitaxy) and CsPbBr3 flakes grown on monolayer graphene buffered NaCl(001) substrate (CsPbBr3/Gr/NaCl, i.e., remote epitaxy). The crystallinity and the epitaxial relationship of CsPbBr3 with substrates were characterized by X-ray diffraction (XRD) high-resolution reciprocal space mapping (RSM). Figure 1a, b shows the RSM of both 224 peaks for as-grown CsPbBr3 and NaCl substrate in two typical samples, CsPbBr3/NaCl and CsPbBr3/Gr/NaCl. Two types of peaks of CsPbBr3 for both samples could be found (Fig. 1a, b and Supplementary Fig. 3: XRD ω-2θ scans for both samples). Based on the four-fold symmetry exhibited in the X-ray pole figure in Fig. 1c, the crystal structure for the as-grown samples could be assigned to tetragonal structure (P4/mbm) or orthorhombic structure (Pbnm or Pmna) due to the close lattice constants of a (8.207 Å) and b (8.255 Å) in orthorhombic (Pbnm) phase48,49. It should be noted that, for convenience, in some analysis, CsPbBr3 is indexed with pseudocubic structure. The epitaxial relationships for both samples are consistent and could be interpreted as out-of-plane CsPbBr3(001)NaCl(001) and in-plane CsPbBr3[100]NaCl[100]. The lattice constants of CsPbBr3 are calculated to be \(a_\parallel\) = 5.811 Å, \(a_ \bot\) = 5.830 Å and \(a_\parallel\) = 5.817 Å, \(a_ \bot\) = 5.850 Å for CsPbBr3/NaCl and CsPbBr3/Gr/NaCl, respectively. As shown in the insets of Supplementary Fig. 3, high crystallinity for both samples in terms of rocking curves of 004 peaks is obtained even on the multi-domains NaCl substrates. The better crystallinity and the decrease in the full width at half maximum (FWHM) of the rocking curves in the remote epitaxial sample comparing to the ionic epitaxial one (from 0.39° to 0.29°) were characterized. The in-plane orientations of the remote and ionic epitaxial samples can also be revealed by X-ray pole figures of CsPbBr3 111 and NaCl 111, as shown in Fig. 1c and Supplementary Fig. 4, respectively.

Fig. 1

Structure and morphology analysis of remote epitaxial CsPbBr3. a RSM of 224 peaks for CsPbBr3 thin film and NaCl from ionic epitaxy (CsPbBr3/NaCl). b RSM of 224 peaks for CsPbBr3 flakes and NaCl from remote epitaxy (CsPbBr3/Gr/NaCl). c X-ray pole figure of CsPbBr3 111 from CsPbBr3/Gr/NaCl. d X-ray pole figure of CsPbBr3 110 from CsPbBr3/Gr/CaF2. e SEM image of remote epitaxial CsPbBr3 flakes on Gr/NaCl. f Cross-sectional SEM image of the remote epitaxial CsPbBr3 thin film on Gr/NaCl. g SEM image of remote epitaxial CsPbBr3 triangular prisms on Gr/CaF2. h Schematic illustration of the exfoliation process on the remote epitaxial sample. i Photograph of the as-grown remote epitaxial thin film and exfoliated thin film. j Diffraction pattern of remote epitaxial CsPbBr3 (white dots) with simulated pattern on it (transparent bluish dots). k Cs-corrected STEM image of remote epitaxial CsPbBr3 and FFT in the inset. (ad are indexed by pseudocubic structure to simplify the analysis, k and j are indexed by CsPbBr3 orthorhombic structure)

Although the same growth conditions have been applied for both samples, the remote epitaxial one exhibits totally different morphology (flakes), as can be seen in the scanning electron microscope (SEM) image Fig. 1e, due to the remarkable change of the growth thermodynamics and kinetics for remote epitaxy. The flake size varies from less than 1 μm to more than 10 μm, due to the successive epitaxial nucleation which is typical for the halide perovskite epitaxial growth50. The size of CsPbBr3 flake and thickness of thin film can be tuned by growth time and substrate temperature. Typical cross-sectional SEM images of the ionic epitaxial film with thickness of around 1 μm and the remote epitaxial films with thickness of around 1.5 μm, 1 μm and 2.2 μm, are shown in Supplementary Fig. 5a, Fig. 1f, Supplementary Fig. 5b, c, respectively. Atomic force microscopy (AFM) images of Supplementary Fig. 6a, b show smooth surface of ionic and remote epitaxial flakes with surface root mean square (RMS) roughness of 0.9 nm and 0.4 nm at 3 μm lateral scale, respectively. The thickness of ionic and remote epitaxial flakes are estimated to be around 750 nm and 860 nm from the height profiles of Supplementary Fig. 6e, f, respectively. The surface morphology and height profiles of both ionic and remote epitaxial films are shown in Supplementary Fig. 6c, g and d, h, respectively. The surface RMS roughness for the ionic epitaxial film in Supplementary Fig. 6c is calculated to be around 4.6 nm at 10 μm lateral scale, while it decreases to 1.5 nm for the remote epitaxial film in Supplementary Fig. 6d.

The as-grown CsPbBr3 flakes in remote epitaxy and the status of graphene after growth are characterized by Raman spectrum and mapping, as shown in Supplementary Fig. 7b and c–f, respectively. The Raman mapping region (10 × 10 μm2) is indicated in green square in Supplementary Fig. 7a. The Raman peaks at around 68 cm−1, 120 cm−1, and 307 cm−1 confirm the orthorhombic phase of CsPbBr351, as shown in Supplementary Fig. 7b, c. After growth, the graphene G-band and 2D-band can still be seen in Raman spectra in Supplementary Fig. 7b. Besides, additional D-band of graphene can be found under CsPbBr3 flakes, which might be related to the disorder induced by epitaxial growth. Supplementary Fig. 7f shows a slightly shift towards high wavenumber in 2D-band at the region under flakes, indicating compression in graphene due to epitaxial strain.

Besides the NaCl substrate, the remote epitaxy of CsPbBr3 has also been achieved on CaF2(001) substrate (CsPbBr3/Gr/CaF2), as indicated from the X-ray pole figure of CsPbBr3 110 in Fig. 1d and φ-scan of CsPbBr3 110 and CaF2 111 in Supplementary Fig. 8. SEM image of Fig. 1g and optical image of Supplementary Fig. 9a show the morphology of the epitaxial triangular prisms, revealing two 90°-rotated domains epitaxially grown on Gr/CaF2(001). The epitaxial relationship between two kinds of epitaxial domains and the substrate is characterized by X-ray pole figure of CsPbBr3 110 and φ-scan of CsPbBr3 110 and CaF2 111, which is out-of-plane CsPbBr3(011)CaF2(001) and in-plane CsPbBr3[100]CaF2[010] or CsPbBr3[0\(\bar 1\)1]CaF2[010].

The as-grown epilayer can be easily exfoliated. The exfoliation process is shown in the schematic illustration in Fig. 1h and the corresponding photograph is shown in Fig. 1i. The exfoliated sample can be transferred on to transmission electron microscopy (TEM) grid. TEM of halide perovskite materials is a challenge due to degradation under electron beam52. Before degradation, TEM diffraction pattern is obtained, as shown in Fig. 1j. The diffraction spots can be well indexed to support the orthorhombic structure, and the zone axis is calculated to be [010]. The cross-sectional interfacial morphologies and crystallite structures were evaluated by low-voltage Cs-corrected scanning transmission electron microscope (STEM). The STEM samples of CsPbBr3/Gr/NaCl were prepared by focused ion beam (FIB) and details are shown in Methods. Figure 1k demonstrates smooth interfaces between CsPbBr3 (bright part), NaCl (dark part) and Gr (dark line in between) and atomic-resolution image of epilayer CsPbBr3 for CsPbBr3/Gr/NaCl. The FFT in the inset of Fig. 1k confirms the orthorhombic phase of CsPbBr3. More atomic-scale images of epilayer CsPbBr3 and their FFTs are shown in Supplementary Fig. 10a, b and their insets, respectively. It is noted that NaCl in Fig. 1k is amorphous because NaCl is extremely unstable even under low-voltage electron beam, as shown in Supplementary Fig. 11a–c with holes formed. Comprehensive study on stability of both CsPbBr3 and NaCl was carried out by in-situ TEM, as shown in Supplementary Fig. 12 for CsPbBr3/Gr/NaCl and Supplementary Fig. 13 for NaCl in another region. The variation of spots in FFTs in the insets of Supplementary Figs. 12 and 13 indicate both CsPbBr3 and NaCl are unstable and CsPbBr3 is slightly better than NaCl. Supplementary Movies 1, 2 and 3 show the detail amorphization processes from bright-field images of CsPbBr3/Gr/NaCl and NaCl and diffraction pattern of NaCl, respectively.

Unscreened polar substrate electrostatic potential

To understand the physical mechanism for the experimental observation of remote epitaxy in halide perovskite, DFT calculations were performed firstly. For CsPbBr3(001) growth on Gr/NaCl(001), relaxed four layers of CsPbBr3(001) lattice on NaCl(001) and monolayer graphene-coated NaCl(001) were chosen, as shown in Supplementary Fig. 14a, b. The interlayer distance between CsPbBr3(001) and NaCl(001) is 3.0 Å. The interlayer distances between CsPbBr3(001) and graphene, and between graphene and NaCl(001) are both 3.1 Å. Figure 2a, b present the corresponding charge transfer distributions between CsPbBr3(001) and NaCl(001), and between CsPbBr3(001) and NaCl(001) with monolayer graphene insertion. Comparing Fig. 2a, b, we can observe that the insertion of graphene does not change the tendency of charge redistribution between CsPbBr3(001) and NaCl(001). The characteristics of the interfacial interactions between CsPbBr3(001) and NaCl(001), and between CsPbBr3(001) and monolayer graphene buffered NaCl(001) are reflected by their respective interfacial interaction energies in Fig. 2c. The atomic stacking between top layer NaCl(001) and graphene is presented in Fig. 2d. The electrostatic potential distribution contributed by both NaCl and graphene on the surface is shown in Fig. 2e. The observed pattern of blue spots is consistent with NaCl(001) atomic stacking in Fig. 2d, implying the influence of NaCl(001) on the orientation of growth CsPbBr3.

Fig. 2

Ionic and remote atomic interactions between polar substrates and CsPbBr3. a, b Charge transfer distributions between CsPbBr3(001) and NaCl(001) (a), and between CsPbBr3(001) and NaCl(001) with graphene intercalation (b). c Interfacial interactions between CsPbBr3(001) and NaCl(001), between CsPbBr3(001) and monolayer graphene buffered NaCl(001). d Atomic stacking between NaCl(001) top layer and buffered monolayer graphene. e Potential fluctuation at the epitaxial surface from NaCl(001) through monolayer graphene, where blue pattern is consistent with atomic stacking of NaCl(001) in (d). f Charge transfer distribution between CsPbBr3(011) and CaF2(001) with graphene intercalation. g Atomic stacking between CaF2(001) top layer and coated monolayer graphene. h Potential fluctuation at the epitaxial surface from CaF2(001) through monolayer graphene, where blue pattern is consistent with center site of four Ca atoms in (g)

For CsPbBr3(011) growth on Gr/CaF2(001), the relaxed three layers of CsPbBr3(011) lattice on monolayer graphene-coated CaF2(001) was chosen, as shown in Supplementary Fig. 14c. The interlayer distances between CsPbBr3(011) and graphene, and between graphene and CaF2(001) are 2.75 Å and 2.26 Å, respectively. Figure 2f presents the corresponding charge transfer distribution between CsPbBr3(011) and CaF2(001) with monolayer graphene intercalation. From Fig. 2f we can observe that the CaF2(001) substrate influences the charge distribution of graphene and subsequently modulates the growth of CsPbBr3(011). Then the interfacial interaction energy between CsPbBr3(011) and monolayer graphene-coated CaF2(001) was calculated as −27.83 meV Å−2, indicating the graphene intercalation could effectively reduce the interfacial strain. The atomic stacking between top layer CaF2(001) and graphene is presented in Fig. 2g. The electrostatic potential distribution contributed by the Ca atoms on the surface directly above graphene, with a distance of 2.7 Å is shown in Fig. 2h. In Fig. 2h, the observed pattern of blue spots is consistent with CaF2(001) atomic stacking in Fig. 2g, implying the influence of CaF2(001) on the orientation of growth CsPbBr3(011).

Suppressing nucleation and promoting growth in remote epitaxy

Based on the calculated interfacial free energies in both ionic and remote epitaxy, a semi-quantitative epitaxial nucleation and growth model is proposed. The schematic illustration in Fig. 3a describes the atomistic nucleation process at the initial stage of an ionic epitaxy and a remote epitaxy. Having the monolayer graphene on the substrate (right side of Fig. 3a), the adsorption energy, Ead, and the diffusion energy, Ed, are completely reduced, thereby affecting the adsorption and diffusion of atoms on the substrate surface. The weakened surface electrostatic potential after graphene screening and reduced adatom-substrate interaction in the case of remote epitaxy would lead to large critical nuclei, while the stronger ionic bond in ionic epitaxy leads to smaller nuclei, as sketched in purple adatoms in Fig. 3a. In addition, the extremely low diffusion barrier for adatoms on graphene in remote epitaxy makes the adatoms much easier to diffuse to the existing nuclei. Therefore, large size of nuclei with limited quantity is expected for remote epitaxy, as illustrated in Fig. 3a.

Fig. 3

Growth kinetics of ionic and remote epitaxy. a Schematic illustration of atomistic nucleation process at the initial stages of both ionic and remote epitaxy. b Nucleation rate as a function of supersaturation for both ionic epitaxy (CsPbBr3/NaCl) and remote epitaxy (CsPbBr3/Gr/NaCl). c Schematic illustration of the nucleation process at the final stages of both ionic and remote epitaxy. dh SEM images of specific interesting regions on a typical sample denoted by black arrow

The nucleation rate could be calculated based on the classical nucleation theory. Assuming monolayer 2D disc-shaped nuclei at the initial state of growth, the Gibbs free energy of formation for nuclei is given by:

$$\Delta G_{\mathrm{i}} = - \pi r^2a_0\Delta \mu + \pi r^2\left( {\gamma _{{\mathrm{int}}} + \gamma _{\mathrm{c}} - \gamma _{\mathrm{s}}} \right) + 2\pi ra_0\gamma _{\mathrm{c}},$$

where \(a_0\) is taken to be the lattice constant of CsPbBr3 with respect to the ideal perovskite, \(\Delta \mu\) is the difference in volumetric Gibbs free energy of the two phases (solid and gas) (unit: meV Å−3) and a general description of supersaturation for \(\Delta \mu\) is used, \(\gamma _{{\mathrm{int}}}\) is the interfacial free energy (29.0 meV Å−2 and 21.8 meV Å−2 from DFT calculation for ionic and remote epitaxy as shown in Fig. 2c, respectively), \(\gamma _{\mathrm{c}}\) is the surface free energy of CsPbBr3 (76.3 meV Å−2, approximated from the bond energy of 248 KJ mol−1 for Pb-Br and 389 KJ mol−1 for Cs-Br53), \(\gamma _{\mathrm{s}}\) is the surface free energy of substrate (90.3 meV Å−2 for ionic epitaxy approximated from the bond energy of 412 KJ mol−1 for Na-Cl53 and 2.9 meV Å−2 for remote epitaxy based on the surface free energy of 48 mJ m−2 for graphene). The critical nucleus size \(r^ \ast\) can be obtained by maximizing \(\Delta G_{\mathrm{i}}\) with respect to r, which is given by:

$$r^ \ast = \frac{{\gamma _{\mathrm{c}}}}{{\Delta \mu - \left( {\gamma _{{\mathrm{int}}} + \gamma _{\mathrm{c}} - \gamma _{\mathrm{s}}} \right)/a_0}} \cdot$$

Thus, the critical Gibbs free energy of formation for a monolayer 2D disc-shaped nucleus is given by:

$$\Delta G_{\mathrm{i}}^ \ast = \frac{{\pi a\gamma _{\mathrm{c}}^2}}{{\Delta \mu - \left( {\gamma _{{\mathrm{int}}} + \gamma _{\mathrm{c}} - \gamma _{\mathrm{s}}} \right)/a_0}} = \pi r^ \ast a_0\gamma _{\mathrm{c}} \cdot$$

Hence, the nucleation rate can be expressed as:

$$N = \Omega {\mathrm{exp}}\left[ { - \frac{{\Delta G_{\mathrm{i}}^ \ast }}{{k_{\mathrm{B}}T}}} \right] = \Omega {\mathrm{exp}}\left[ { - \frac{{\pi a\gamma _{\mathrm{c}}^2}}{{k_{\mathrm{B}}T\left[ {\Delta \mu - \left( {\gamma _{{\mathrm{int}}} + \gamma _{\mathrm{c}} - \gamma _{\mathrm{s}}} \right)/a_0} \right]}}} \right]$$

where \(\Omega\) is the pre-exponential factor, which is not very much dependent upon the supersaturation and a typical value of 1017 cm−2 s−1 is taken for condensation from vapor in our case, kB is the Boltzmann constant, and T is the temperature (500 K was taken). The nucleation rates in both ionic and remote epitaxy are plotted as a function of supersaturation, as shown in Fig. 3b. The remote epitaxy shows orders of magnitude decrease in nucleation rate comparing to the ionic epitaxy and the decrease even reaches four orders of magnitude at low supersaturation.

Guided from our previous study on ionic epitaxy of halide perovskite54, the supersaturation for the epitaxial growth could be well controlled by the substrate temperature. In the present work, a temperature gradient on a single substrate has been introduced, leading a supersaturation gradient and different morphologies of halide perovskites on the substrate. Based on the nucleation rates predicted in Fig. 3b, a schematic illustration of a growth model of CsPbBr3 epitaxially grown on NaCl substrate with graphene covered half area is presented in Fig. 3c. For ionic epitaxy, high supersaturation leads the growth of epitaxial thin film, while low supersaturation leads the growth of epitaxial flakes. For remote epitaxy, at the same supersaturation, the nuclei are much sparser than that in epitaxial thin film for the ionic epitaxy, resulting in the growth of epitaxial flakes. The SEM images in Fig. 3d–h and the optical microscope images in Supplementary Fig. 9b, c show the various morphologies of specific interesting areas on a typical sample, which are ionic epitaxial thin film at high supersaturation in Fig. 3d and left side of 3e, ionic epitaxial flakes at low supersaturation in Supplementary Fig. 9b, remote epitaxial thin film and flakes at high supersaturation in right side of Fig. 3e, f, respectively, remote epitaxial flakes at low supersaturation in Fig. 3g, h and Supplementary Fig. 9c. These morphologies are well consistent with the theoretical model in Fig. 3b. By counting the number of flakes at the region shown in Fig. 1e for the remote epitaxy case, with the assumption of constant nucleation rate during the growth and the growth time of 15 minutes for the sample of Fig. 3g, the nucleation rate is estimated to be around 4.4 × 105 cm−2 s−1.

Dislocation formation in ionic and remote epitaxy

Dislocations are often harmful to device performance. Under thermodynamically favorable condition, dislocation-free crystals are accessible when the growth of crystals from solutions is at low supersaturation or from melts is weakly supercooled55. However, dislocation formation is thermodynamically favored in highly mismatched heteroepitaxy system if the film thickness is above its critical thickness (in order to relax the misfit stain energy in epilayer56). Traditionally, a buffer layer can be introduced into epitaxial growth to reduce dislocation density57. By using a special buffer layer of graphene to reduce the interfacial energy between epilayer and substrate, the epitaxial growth mechanism (thermodynamics and kinetics) in remote epitaxy is significantly different from that in traditional epitaxy. Thus, different strain relaxation mechanism is expected. Molecular-dynamics (MD) simulations are utilized to study the growth and strain relaxation mechanisms in ionic epitaxy, remote epitaxy and van der Waals epitaxy. Figure 4a, d and g shows MD simulations of the side views of ionic epitaxy, remote epitaxy and van der Waals epitaxy, respectively. The dislocations are indicated by blue arrows, as shown in Fig. 4a–c. Supplementary Fig. 15a and Supplementary Fig. 16 show the side and top views of the formation of dislocation in ionic epitaxy, respectively. Surprisingly, no dislocation can be formed in both remote and van der Waals epitaxy. In order to release strain energy between epilayer and substrate during the growth, large interfacial energy in ionic epitaxy enables the formation of dislocations. Misfit dislocations at the interface are observed in the side view in Supplementary Fig. 15a and threading dislocations are observed in top views in Supplementary Fig. 16. For both remote and van der Waals epitaxy, small interfacial energy enables small crystal islands gliding to big ones. The gliding of crystal islands is indicated by arrows in the side view of Supplementary Fig. 15b (remote epitaxy), top views of Supplementary Fig. 17 (remote epitaxy) and Supplementary Fig. 18 (van der Waals epitaxy). Top views of Supplementary Fig. 16-18 also show the decrease of nucleation sites and the ability of gliding with decreasing interfacial energy (from ionic epitaxy, remote epitaxy to van der Waals epitaxy). Supplementary Movie 4, 5 and 6 show the side views of the entire growth processes of ionic epitaxy, remote epitaxy and van der Waals epitaxy, respectively. Supplementary Movie 7, 8 and 9 are the top views of ionic epitaxy, remote epitaxy and van der Waals epitaxy, respectively.

Fig. 4

Molecular-dynamics simulations of ionic epitaxy (ac), remote epitaxy (df) and vdW epitaxy (gi). a, d and g are side views. b, e and h are top views. c, f and i are bird views. Dislocations are indicated by blue arrows. j, k STEM images for different domains of CsPbBr3/Gr/NaCl with zone axes of [001] (j) and [1\(\bar 1\)0] (k) and FFTs in their insets. l Inverse FFT of its inset transformed from the HRAFM image (Supplementary Fig. 19a) for CsPbBr3/Gr/NaCl. m, n, Zoom-in inverse FFTs of their insets transformed from the STEM images Supplementary Fig. 10a, b for CsPbBr3/Gr/NaCl, respectively. o Inverse FFT of its inset transformed from the HRTEM image (Supplementary Fig. 21c) for transferred CsPbBr3. A dislocation is indicated in o. Scale bars of j, k, l, o are 5 nm. Scale bars of m, n are 10 nm

STEM, HRAFM, and HRTEM were utilized to characterize an as-grown remote epitaxial sample CsPbBr3/Gr/NaCl. Perfect crystallite atomic structures of CsPbBr3 are shown in cross-sectional images of Fig. 1k, Supplementary Fig. 10a, b, and Fig. 4j, k obtained by Cs-corrected STEM. FFTs in their insets confirm the orthorhombic phase of CsPbBr3. Two ferroelastic domains with zone axes of [001] and [1\(\bar 1\)0], as shown in Fig. 4j, k, respectively, are consistent with two out-of-plane peaks in the XRD ω−2θ scan in Supplementary Fig. 3. Supplementary Fig. 10c (with zoom-in part shown in Fig. 4m) and Supplementary Fig. 10d (with zoom-in part shown in Fig. 4n) are inverse FFTs of their insets with highlighted white spots to highlight lattice fringes from Supplementary Fig. 10b, indicating no misfit dislocation. The atomic-scale image of a surface region of remote epitaxial film obtained from HRAFM exhibits perfect crystallite structure as well, as shown in Supplementary Fig. 19a. Figure 4l and Supplementary Fig. 19b are the inverse FFTs of their insets to highlight atomic structure fringes from Supplementary Fig. 10b and Supplementary Fig. 19a, indicating no threading dislocation. However, after carefully searching of many images, threading dislocations can be observed in remote epitaxial CsPbBr3 from some HRAFM and HRTEM images, as shown in highlighted lattice fringes in Supplementary Fig. 19d, Fig. 4o and Supplementary Fig. 20d–f (inverse FFTs of their insets transformed from Supplementary Figs. 19c, 20c and 20a–c, respectively). These threading dislocations observed from the remote epitaxial sample might be formed during large grain coalescence stage. More threading dislocations are found at a surface region of ionic epitaxial film, as shown in Supplementary Fig. 21d (inverse FFT of its inset transformed from Supplementary Fig. 21c), while similar perfect crystallite lattice is found at another surface region, as shown in Supplementary Fig. 21b (inverse FFT of its inset transformed from Supplementary Fig. 21a). It is noted that the density of dislocations could not be estimated from these atomic-scale images due to low density and uneven distribution of dislocations.

van der Waals epitaxy of halide perovskite on a native oxide Si (100) substrate (non-polar) with transferred graphene on its surface (Gr/Si(100)) has been demonstrated in Supplementary Fig. 22a. As expected, remote epitaxy shows better epitaxy and higher nucleation rate than van der Waals epitaxy with Gr/Si(100) as substrate. This highlights the importance of extra potential guide of substrate in remote epitaxy. To improve substrate interaction, mica is chosen to substitute the Gr/Si(100) substrate. As shown in Supplementary Fig. 20b, c, better crystal quality of halide perovskite (compared to Gr/Si) has been achieved in our growth. However, due to the in-plane symmetry mismatch between halide perovskite and mica, the epitaxial halide perovskite flakes show in-plane rotation (Supplementary Fig. 22d). Without the guide of potential field with matched symmetry from the polar substrate, the in-plane film quality in such quasi-van der Waals epitaxy is lower than that in remote epitaxy. However, the out-of-plane crystallinity of halide perovskite is better compared to that for remote epitaxy, as shown in XRD θ−2θ scanning and rocking curve in Supplementary Fig. 20d, f, respectively.

Additionally, the interfacial energy between substrate and epilayer could control the ferroelastic phase transition kinetics. Ionic epitaxial CsPbBr3 shows small spatial periodicity of the ferroelastic domains, while remote epitaxial one shows large spatial periodicity of the ferroelastic domains. Detailed results and discussion of controlling domain wavelength via remote epitaxy are presented in Supplementary Note 1 and Supplementary Figs. 26 and 27.

Misfit and threading dislocation-carrier dynamics relation

According to Matthew’s theory, one could evaluate the lower limit of both misfit and threading dislocations densities in epitaxial film when lattice mismatch and film-substrate interaction strength are given. Clearly, remote epitaxial film is expected to take much less dislocations than ionic epitaxial film. To understand the impact of dislocations on the carrier dynamics of halide perovskite, it is natural to compare the optoelectronic properties in these two types of films. The optical properties of a typical sample have been studied by steady-state photoluminescence (PL) measurements firstly, as shown in Fig. 5a, b. An intensive green light can be seen from the optical microscopy image in the inset of Fig. 5b, due to the band emission. Remarkable enhancements of around 3.7 and 2 times in the PL intensity can be clearly observed in both CsPbBr3 thin film and flake from remote epitaxy comparing to these from ionic epitaxy, respectively.

Fig. 5

Dislocation-carrier dynamics relation in remote and ionic epitaxy. a, b, Steady-state PL of CsPbBr3 films (a) and flakes (b) in both remote and ionic epitaxy. c Schematic illustration of carrier dynamics in CsPbBr3. d Effective carrier lifetime as a function of dislocation density with different sample thickness and SEM images for ionic (right one) and remote (left one) epitaxial samples after etching. Experimental data for thin film and flake are indicated in circle and square, respectively. Remote epitaxy and ionic epitaxy regions painted in dark purple and light purple, respectively. e, f, TRPL of CsPbBr3 films (e) and flakes (f) in both remote and ionic epitaxy

The optical properties of the as-grown CsPbBr3 thin films and flakes from both remote epitaxy and ionic epitaxy have been further investigated by time-resolved photoluminescence (TRPL) spectroscopy. The schematic illustration in Fig. 5c describes the carrier dynamics in semiconductor thin film, e.g. halide perovskite in the present case, including the effects of dislocations. The observed PL recombination dynamics could include contributions from Shockley–Read–Hall processes, radiative recombination, Auger recombination, and interface recombination58,59. Misfit and threading dislocations can be formed above the critical thickness of the film in semiconductors, e.g. GaP60, GaN4, inducing defect trap states, as shown in Fig. 5c, thereby influence or even determine the effective carrier lifetime via non-radiative recombination. By taking account of the grain boundary recombination and dislocation recombination, with the assumption of same diffusivity of the excess carriers as the minority carriers at low injection and no junction on an array of dislocations in an infinite semiconductor, the effective lifetime can be modified from the previous works by refs. 28,54,61,62

$$\frac{1}{{\tau _{{\mathrm{eff}}}}} = \, \frac{1}{{\tau _{{\mathrm{bulk}}}}} + \frac{1}{{\tau _{{\mathrm{int}}}}} + \frac{1}{{\tau _{{\mathrm{gb}}}}} + \frac{1}{{\tau _{{\mathrm{dis}}}}} = \frac{1}{{\tau _{{\mathrm{bulk}}}}} \\ +\, \frac{1}{{\frac{t}{{2S_{{\mathrm{int}}}}} + \frac{1}{D}\left( {\frac{t}{\pi }} \right)^2}} + \frac{1}{{\frac{d}{{2S_{{\mathrm{gb}}}}} + \frac{1}{D}\left( {\frac{d}{\pi }} \right)^2}} + \frac{{4\pi D\rho _{\mathrm{D}}}}{{ - ln\left( {\pi \rho _{\mathrm{D}}r_0^2} \right) - \frac{6}{5}}}$$

where \(\tau _{{\mathrm{gb}}}\) is the grain boundary carrier lifetime, \(\tau _{{\mathrm{dis}}}\) is the dislocation carrier lifetime, Sint and Sgb is the recombination velocity at the interface and grain boundary, respectively, d is the lateral grain size, t is the vertical thickness, D is the diffusivity, \(\rho _{\mathrm{D}}\) is the threading dislocation density, and r0 is the effective core radius of a dislocation inside which the lifetime is zero. The recombination velocity at interface Sint is influenced by the growth condition and interfacial chemistry, while the recombination velocity at grain boundary Sgb is fixed for the same material. Here we assume the recombination velocity at both interface and grain boundary are the same (1.5 × 104 cm s−1 was taken63) and focus on the dislocation recombination effect. The diffusivity D is taken to be 0.35 cm2 s−163, r0 is taken to be 5.87 × 10−8 cm (the lattice constant of cubic CsPbBr3). The lateral grain size d of around 1–5 μm was roughly measured by the SEM images Fig. 3. By using equation (5) with constant values of sample thickness and grain size, the effective lifetime of halide perovskite CsPbBr3 is plotted as a function of dislocation density, as shown in Fig. 5d and Supplementary Fig. 23 for different sample thickness and grain size, respectively. Thus, the effect of dislocation density on the effective lifetime of halide perovskite CsPbBr3 is quantitatively analyzed. The thickness and the grain size can influence the effective lifetime as well, as shown in lines with different colors in Fig. 5d and Supplementary Fig. 23, respectively. Obviously, the effective lifetime reduces drastically with increasing dislocation density if we assume dislocations in halide perovskite provide recombination centers.

To experimental show whether the dislocations contribute significant recombination centers or not, we have further quantified the dislocation density and correlated them with the TRPL lifetime. The threading dislocation density can be estimated by dislocation etch pits. The etching technique for CsPbBr3 is similar to that for NaCl64, but with different concentration of etching solution. Dislocation etch rosettes have been formed on the surface of the remote epitaxial sample, ionic epitaxial sample and NaCl substrate for comparison, as shown in the left and right inset of Fig. 5d and Supplementary Fig. 5d. From the density of dislocation etch rosettes, for the ionic epitaxy, the threading dislocation density is estimated to be around 9 × 108 cm−2, while for the remote epitaxy, it is remarkably reduced to around 3 × 107 cm−2. Both remote epitaxy and ionic epitaxy regions are painted in dark gray and light gray in Fig. 5d, respectively.

The effective lifetimes have been extracted from the measured TRPL spectra for both CsPbBr3 thin film and flake in both remote and ionic epitaxy in Fig. 5e, f, respectively. Two kinds of recombination regimes can be extracted, including the short carrier lifetime dominated by the interface recombination and the long carrier lifetime dominated by the bulk recombination. The grain boundary and dislocation recombination can affect both regimes’ carrier lifetime. For the remote epitaxial thin film comparing to the ionic epitaxial one, the effective lifetime of long-life carrier is greatly increased from 0.68 to 3.31 ns, while for the remote epitaxial flake it increases from 1.06 to 4.21 ns. The significant prolonged carrier lifetime of about four times in magnitude could be attributed to the more than one order of magnitude decrease in threading dislocation density. With doubled growth time, thick film shows effective lifetime up to 8.97 ns, as shown in Fig. 5e. In single flakes with much smaller lateral size comparing to the thin film, the carrier lifetimes, as shown in Fig. 5f, however, are slightly longer than these in films, as shown in Fig. 5e. The extracted carrier lifetimes are good consistent with the hypothesis in Fig. 5d, indicating the predominant factor of dislocation recombination for the carrier dynamics in halide perovskite CsPbBr3 and the remarkable improvement of carrier lifetime in remote epitaxy. Similar enhancement of the effective lifetime is also observed in the case of CsPbBr3 grown on Gr/CaF2, as shown in Supplementary Fig. 24. These evidence clearly show that threading dislocation is as important as grain boundary or point defect in halide perovskite for physical properties and device performance.

Two gold stripe contacts are deposited onto the CsPbBr3 thin film with a physical mask on top by e-beam evaporation and a simple device of photodetector (Au/CsPbBr3(remote epitaxial thin film)/Au) is fabricated, as shown in Supplementary Fig. 25a. The photo responses under UV light (405 nm laser, around 0.5 mW) are measured for both devices made by ionic and remote epitaxial thin films, as shown in Supplementary Fig. 25b. Supplementary Fig. 25c, d are the enlarged rising and falling parts in Supplementary Fig. 25b, respectively, revealing a faster rise time in remote epitaxial thin film-based device (Supplementary Fig. 25c) and an additional decay tail with a long decay time of around 8.08 s in ionic epitaxial thin film-based device (Supplementary Fig. 25d). These observations, i.e. fast rise time and disappearance of longer decay tail in remote epitaxial thin film-based device, could be attributed to the low density of dislocations in remote epitaxial thin film. Similar observations can be found in other photodetectors, such as AlGaN65.


Epitaxial halide perovskite has been synthesized via a remote epitaxy approach. DFT simulations and experimental implementation show that the modified electrostatic potential of polar substrates coated with graphene enables tunable film-substrate interaction strength leading to controlled dislocation density in epilayer. The epitaxial relationships have been revealed by high resolution XRD RSMs and pole figures, which are out-of-plane CsPbBr3(001)Gr/NaCl(001) and in-plane CsPbBr3[100]Gr/NaCl[100] for remote epitaxy of CsPbBr3 on Gr/NaCl and out-of-plane CsPbBr3(011)CaF2(001) and in-plane CsPbBr3[100]CaF2[010] or CsPbBr3[0\(\bar 1\)1]CaF2[010] for remote epitaxy of CsPbBr3 on Gr/CaF2. The weak film-substrate coupling in remote epitaxy suppresses the nucleation and promotes the growth, and a semi-quantitative epitaxial nucleation and growth model is proposed to understand the growth kinetics. Further, the ferroelastic phase transition kinetics can be controlled by film-substrate coupling and remote epitaxy yields large spatial periodicity of the ferroelastic domains in CsPbBr3. In the cases of remote and van der Waals epitaxy with low interfacial energy, the dislocation-free or low-density dislocation mechanism is demonstrated by molecular-dynamics simulations. HRTEM, HRAFM and Cs-corrected STEM studies show the atomic and lattice structure of the remote epitaxial films with very low-density threading dislocations. The controlling of dislocation (threading) density, which is estimated from etch rosettes, enables the unveiling of the dislocation-carrier dynamic relation in halide perovskite. Comparing to ionic epitaxy, remote epitaxy improves the PL intensity by around 3 times and the carrier lifetime by around 4 times in magnitude, indicating that the dislocation recombination is one of the predominant components for the carrier recombination mechanisms of halide perovskite. Our study reveals dislocation as another critical defect on influencing halide perovskite’s optoelectronic properties in addition to grain boundary, point defects and phase impurity, and calls for further investigations on their control to tune halide perovskite device performances.


Graphene transfer

The graphene used in this work was purchased from Graphene Laboratories Inc. (Calverton, New York, US). The graphene was synthesized on Cu foils by chemical vapor deposition. For transfer of graphene, poly(methyl methacrylate) (PMMA) was spin-coated and baked on graphene/Cu to protect the graphene on the front side of Cu foils. The rear side of Cu foils was then treated in O2 plasma etcher to remove unwanted graphene. Afterward, the PMMA/graphene/Cu stack was placed in ammonium persulfate aqueous solution (60 g L−1) to etch Cu. Once Cu was etched, the PMMA/graphene was rinsed in water (isopropyl alcohol) several times and then scooped out using the CaF2 (NaCl) substrate. The PMMA/graphene/CaF2(NaCl) was dried in air. In the end, PMMA was dissolved in acetone.

Remote epitaxy and ionic epitaxy of CsPbBr3 on NaCl and CaF2 substrates

Cesium bromide (CsBr, 99%, Sigma-Aldrich) was placed in the furnace heating center and lead(II) bromide (PbBr2, 99%, Sigma-Aldrich) was placed about 10 cm away from the cesium bromide. The heating temperature was controlled at about 500 oC. Argon flow of 200 sccm was introduced to the system to maintain the pressure at about 1.4 Torr during the growth. The growth process lasted for 15 min. The details can be found in our previous report54. Prior to a growth, the monolayer graphene was transferred onto the substrates. The details on the transfer process can be found in our previous report66.

Dislocation etching technique

A solution of FeCl3 in glacial acetic acid was used for as-grown CsPbBr3 and substrate NaCl for comparison. Dislocation etch rosettes were obtained for both NaCl and CsPbBr3 when they were moderately agitated for 60 s in 2.5 × 10−2 mol L−1 and 2.5 × 10−4 mol L−1 FeCl3 in glacial acetic acid, respectively. After that, the samples were rinsed in acetone and dried in compressed air.

Focused ion beam (FIB)

The lamellar specimens for HRTEM observation were prepared by a dual-beam scanning electron microscopy (SEM)/focused ion beam (FIB) system (FEI Quanta 3D FEG and FEI Helios) based on site-specific in situ lift-out technique. Before the ion thinning, a metallic protective layer of Cr with a thickness between 30 and 40 nm was first deposited on the sample surface. Then, a platinum supporting layer with a thickness between 1 and 1.5 μm was further deposited on the targeted area using the ion beam deposition inside the chamber. This dual-beam system is capable of fast milling at a high voltage of 30 kV and subtle thinning at the final stage using a few kV (2–5 kV) Ga+ ion milling. During ion thinning, the sample was tilted between 1 and 2° towards the ion beam in order to avoid significant damage to the sample structure. The ion beam current was between 10 and 15 pA.

X-ray diffraction Characterization

X-ray diffraction was done with a Panalytical X’Pert PRO MPD system with a Cu Kα source and a hybrid mirror with a two-bounce two-crystal Ge(220) monochromator, yielding a parallel incident beam with a wavelength λKα1 = 1.5406 Å, a divergence of 0.0068°, and a width of 0.3 mm. Sample alignment included height adjustment as well as correction of the ω and χ tilt angles by maximizing the substrate peak intensity. Short-range symmetric ω−2θ scans were obtained using a 0.04 radian Soller slit in front of a PIXcel solid-state line detector operated in receiving mode with a 0.165 mm active length, corresponding to a 2θ opening of less than 0.04°. ω-rocking curves were obtained using constant 2θ angles corresponding to CsPbBr3 004 reflections (indexed with tetragonal structure P4/mbm) and using the same parallel beam geometry as used for ω−2θ scans. Asymmetric high-resolution reciprocal space maps (HR RSM) around 224 reflections (indexed with pseudocubic to simplify the analysis) were obtained using a line detector in scanning mode, operating all 255 channels. This is done using a small angle (~20°) between the sample surface and the diffracted beam to cause a beam narrowing which increases the 2θ resolution and therefore facilitates fast high-resolution reciprocal space mapping. Then the data was shown as color filled iso-intensity contour maps in a logarithmic scale, plotted within k-space where k = 2sinθcos(ωθ)/λ and k|| = 2sinθsin(ωθ)/λ correspond to directions perpendicular and parallel to the substrate surface along perpendicular [001] and [110] directions, respectively. XRD pole figures were obtained using a point focus optics with a poly-capillary x-ray lens that provides a quasi-parallel Cu Kα beam with a divergence of less than 0.3° to minimize defocusing effects associated with the non-uniform sample height due to the sample tilt. In addition, ω-2θ scans with a divergent beam Bragg-Brentano geometry were acquired over a large 2θ range from 5-90° in order to detect small inclusions of possible secondary phases or misoriented grains.

Microscopy characterization

Morphology of the halide perovskite thin films and flakes was characterized by a Nikon Eclipse Ti-S inverted optical microscope. Scanning Electron Microscope (SEM) FEI Versa 3D was used for surface morphology and thickness (cross-sectional SEM) analysis. The high resolution TEM images and electron diffraction pattern for transferred CsPbBr3 flakes were collected with FEI F20 TEM operated at 200 kV. The cross-sectional interfacial morphologies and crystallite structures were evaluated by high resolution transmission electron microscope (HRTEM) JEM2010 operating at 120 kV, JEOL 2100 F operating at 200 kV and scanning transmission electron microscope (STEM) FEI Titan G2 80-200 CREWLEY operating at 80 kV.

High resolution atomic force microscopy (HRAFM)

The surface morphologies were investigated by high resolution atomic force microscopy (AFM, Cypher ES, Oxford Instruments) in ambient air. To derive the atomic-scale structures of the crystallite surface, a sharp Si3N4 probe (TR400PB, Olympus) was used in the contact mode. The lateral force signal was recorded in order to atomically resolve the recorded image as the friction force is sensitive to the evolution of surface crystal lattice. To avoid surface damage, the applied normal load was controlled in the range of 10-20 nN and the sliding velocity was set at 10-15 Hz. The recorded image was processed by the Asylum Research Igor Pro Software.

Piezoelectric force microscopy (PFM)

The piezoelectrics properties of the samples were measured by piezoelectric force microscopy (PFM) in an AFM system (MFP 3D, Oxford Instruments). A conductive probe with platinum overall coating (ElectriMulti75-G, BudgetSensors) was used, with a drive voltage up to 10 V applied to the conductive tip. When the tip was brought in contact with the sample surface, the local piezoelectric response can be detected by recording the distortional motion of the cantilever. Thus the piezoresponse can be estimated measuring the vibrating amplitude of the cantilever per unit drive voltage. The scanning velocity was 1 Hz. Both the amplitude and phase signals of the piezoresponse within a specific domain were acquired.

Raman spectroscopy

Confocal Raman spectroscopy was performed using a Horiba XploRA Nano system. One of two excitation wavelengths, 532 nm and 638 nm, was utilized based on the needs of different situations. A typical Raman spectrum was collected under following conditions: 100X objective lens, 3 s integration time, 10 acquisitions, 1200 grooves/mm grating, 4 mW laser power.

Photoluminescence (PL) characterization

The PL of samples were measured via a customized PL system consisting of a Picoquant 405 nm pulsed laser with a 2 mW power and a repetition of 4 MHz, a Thorlabs 4 Megapixel Monochrome Scientific CCD Camera, a Princeton Instruments SP-2358 spectrograph, and the same optical microscope that focuses the laser via a × 50 objective lens.

Time resolved photoluminescence (TRPL) characterization

Time resolved PL was measured in the same PL system. A Picoquant PDM series single-photon detector synchronized with the pulsed laser source was used to collect the time domain PL information.

DFT calculation

The DFT calculations were performed with the Vienna ab initio Simulation Package (VASP)67. The core electrons were described by the projector-augmented-wave (PAW) method68 and the electron exchange and correlation were modeled within the generalized gradient approximation (GGA) using the Perdew-Burke-Ernzerhof (PBE) form69. The non-local optB86b-vdW exchange-correlation functional was used to describe the dispersion interaction (vdW forces) approximately70, as its accurate descriptions of geometrical structures and energies. The plane wave basis kinetic energy cut off was set to 400 eV.

For CsPbBr3(001) growth on Gr/NaCl(001), the calculation supercells were constructed as four layers of CsPbBr3(001) (a = 5.89 Å, cubic phase is chosen for calculation) sitting on four layers of NaCl(001) (a = 5.57 Å), with about 5% compressive strain imposing on CsPbBr3(001). The remote atomic interaction of NaCl(001) though monolayer graphene was simulated with 4 × 3 CsPbBr3 sitting on monolayer graphene-coated 4 × 3 NaCl(001). The selection of this model is mainly considering to decrease strain on graphene intercalation. The top NaCl(001) layer and atoms above were allowed to relax until the forces on all the relaxed atoms were less than 0.05 eV/Å. The vacuum gaps in simulation supercells are larger than 10 Å.

For CsPbBr3(011) growth on Gr/CaF2(001), the calculation supercell was constructed as three layers of CsPbBr3(011) (a = 5.89 Å, b = 8.33 Å) sitting on three layers of CaF2(001) (a = 5.35 Å). The remote atomic interaction of CaF2(001) through monolayer graphene was simulated with 7a × 2b CsPbBr3(011) sitting on monolayer graphene-coated 8 × 3 CaF2(001). The selection of this model is mainly based on the minimization of the mismatch between CsPbBr3 and CaF2(001). For the epitaxial relation of CsPbBr3(011)CaF2(001), the mismatch is 3.8% along CsPbBr3[100]CaF2[100] and −3.7% along CsPbBr3[0\(\bar 1\)1]CaF2[010], which is remarkably smaller than the mismatch of −9% along CsPbBr3[100]CaF2[100] for CsPbBr3(001)CaF2(001). The strain imposed on graphene is less than 2%. The top CaF2(001) layer and atoms above were allowed to relax until the forces on all the relaxed atoms were less than 0.05 eV/Å. The vacuum gap in simulation supercell is larger than 20 Å.

Molecular dynamic simulation

We designed a minimalist’s molecular-level model to simulate the deposition and subsequent epitaxial growth of a model perovskite film on various substrates. This model enables us to investigate structural features of a three-component epitaxial film such as misfit dislocations with moderate computational resources. In addition, observations made with such a generic perovskite model are likely to be valid for perovskite systems in general, as opposed to observations stemming from unique features of a particular material.

There are three particle species (A, B, and C) in the model perovskite crystal ABC3. The particle-particle interaction is described by a truncated Lennard-Jones (LJ) potential:

$$\phi _{{\mathrm{LJ}}}(r) = 4\varepsilon _{{\mathrm{\alpha \beta }}}\left( {\frac{{\sigma _{{\mathrm{\alpha \beta }}}^{12}}}{{r^{12}}} - \frac{{\sigma _{{\mathrm{\alpha \beta }}}^6}}{{r^6}}} \right) - 4\varepsilon _{{\mathrm{\alpha \beta }}}\left( {\frac{{\sigma _{{\mathrm{\alpha \beta }}}^{12}}}{{r_{{\mathrm{\alpha \beta }},{\mathrm{c}}}^{12}}} - \frac{{\sigma _{{\mathrm{\alpha \beta }}}^6}}{{r_{{\mathrm{\alpha \beta }},{\mathrm{c}}}^6}}} \right)$$

We map the generic ABC3 perovskite to CsPbBr3 to obtain the mass and size of each particle. It should be noted that we do not intend to use LJ potential to describe the complex interactions including long-range Coulombic force within CsPbBr3. Yet, even LJ potential, with the proper choice of bond strengths together with the bond length in CsPbBr3, leads to the crystallization of perovskite. The pair-dependent bond strength, bond length, and cutoff are listed in Supplementary Table 1. The energy and length units are chosen as \(\varepsilon _{{\mathrm{BC}}}\) and \(\sigma _{{\mathrm{BC}}}\) for convenience. Given a unit mass of m0, the particle mass for A, B and C are 1.66, 2.6 and 1.0 m0, respectively.

Consequently, the temperature unit is \(\frac{{\varepsilon _{{\mathrm{BC}}}}}{{k_{\mathrm{B}}}}\) (\(k_{\mathrm{B}}\)is the Boltzmann constant), and the time unit is \(\tau _0 = \sigma _{{\mathrm{BC}}}\sqrt {\frac{{m_0}}{{\varepsilon _{{\mathrm{BC}}}}}}\). The melting point of the ABC3 perovskite was estimated to be about 0.13 \(\frac{{\varepsilon _{{\mathrm{BC}}}}}{{k_{\mathrm{B}}}}\). Therefore, the reduced units above for this model perovskite system can be written in real units by mapping to CsPbBr3 as, \(\varepsilon _{{\mathrm{BC}}}\) = 0.557 eV (using the melting point of CsPbBr3 as 567 °C), \(\sigma _{{\mathrm{BC}}}\) = 0.249 nm (using the lattice constant of CsPbBr3 as 0.587 nm), m0 = 79.9 amu (using the mass of Br), and \(\tau _0\)=0.3 ps.

The perovskite potential parameters and the rational are discussed as follows. Only B–C and A–C interactions have attractive regime, while all other pair interactions are repulsive-only (the cutoffs are set at the bottom of the LJ potential well). B–C pairs have strong affinity, together with the C–C repulsion (and the proper hardsphere size), lead to BC6 octohedral formation. A-C pairs have weaker attraction than B–C pairs to favor ABC3 perovskite formation rather than B–C compound formation. The lattice constant of the ideal perovskite structure is about 2.2449 \(\sigma _{{\mathrm{BC}}}\) at zero temperature, and around 2.36 \(\sigma _{{\mathrm{BC}}}\) at the deposition temperature of 0.1 \(\varepsilon _{{\mathrm{BC}}}/k_{\mathrm{B}}\). The temperature is controlled by Nose-Hoover thermostat. The equations of motion are numerically integrated using the velocity-Verlet algorithm with a time step of 0.0056 \(\tau _0\).

We have investigated three different types of substrates for the deposition of perovskite ABC3. The first type of substrate (termed Substrate I) has a strong affinity with the deposited film, which is analogous to ‘ionic epitaxy’. There are two types of particles (D and E particles) forming a rigid substrate. E particles form a square lattice with a lattice constant of 1.1352 \(\sigma _{{\mathrm{BC}}}\). One quarter of the E particles were replaced by D particles such that D particles themselves form a square lattice with a lattice constant of 2.2704 \(\sigma _{{\mathrm{BC}}}\). Due to the strong affinity between C and D particles, epitaxy growth is expected with a lattice mismatch of about 3.8% at the deposition temperature. The second type of substrate (termed Substrate II) is identical to Substrate I with an additional model 2D material (graphene-like) layer acting as a spacer so as to weaken the substrate-film affinity, which is analogous to ‘remote epitaxy’. The model 2D material has a honeycomb lattice made of F particles, with atomic spacing of 0.971 \(\sigma _{{\mathrm{BC}}}\), which is 0.925 \(\sigma _{{\mathrm{BC}}}\) away from the original substrate. There is a very weak attraction between C and F particles to facilitate deposition. The third type of substrate (termed Substrate III) has a weak affinity to the film (identical to Substrate I except the C–D interaction is only half as strong), which is analogous to ‘van der Waals epitaxy’.

The simulation system for deposition is around 113.5 \(\sigma _{BC}\) by 113.5 \(\sigma _{{\mathrm{BC}}}\) by 90.8 \(\sigma _{{\mathrm{BC}}}\) for simulations with Substrate I and III, and 106.7 \(\sigma _{{\mathrm{BC}}}\) by 113.5 \(\sigma _{{\mathrm{BC}}}\) by 90.8 \(\sigma _{{\mathrm{BC}}}\) for simulations with Substrate II. During deposition, all atoms belong to the substrate are frozen for simplicity. For all deposition simulations, particles A, B and C are created randomly without overlapping with any existing atoms at the top of the simulation box. On average, particles A and B are created every 600 timesteps (or 3.36 \(\tau _0\)), while particles C are created every 1.12 \(\tau _0\) to maintain the correct stoichiometry. All particles are given an initial velocity towards the substrate. The deposition temperature is set to be 0.1 \(\varepsilon _{{\mathrm{BC}}}/k_{\mathrm{B}}\) (about 77% of the melting point).

Data availability

All the relevant data are available from the corresponding authors upon reasonable request.

Code availability

All the relevant code are available from the corresponding authors upon reasonable request.

Change history

  • 16 October 2019

    An amendment to this paper has been published and can be accessed via a link at the top of the paper.


  1. 1.

    Schubert, M. F. et al. Effect of dislocation density on efficiency droop in GaInN/GaN light-emitting diodes. Appl. Phys. Lett. 91, 231114 (2007).

    Article  ADS  CAS  Google Scholar 

  2. 2.

    Nakamura, S. The roles of structural imperfections in InGaN-based blue light-emitting diodes and laser diodes. Science 281, 956–961 (1998).

    Article  CAS  Google Scholar 

  3. 3.

    Yamaguchi, M., Yamamoto, A. & Itoh, Y. Effect of dislocations on the efficiency of thin-film GaAs solar cells on Si substrates. J. Appl. Phys. 59, 1751–1753 (1986).

    Article  ADS  CAS  Google Scholar 

  4. 4.

    Kumakura, K. et al. Minority carrier diffusion length in GaN: dislocation density and doping concentration dependence. Appl. Phys. Lett. 86, 052105 (2005).

    Article  ADS  CAS  Google Scholar 

  5. 5.

    Kieliba, T., Riepe, S. & Warta, W. Effect of dislocations on minority carrier diffusion length in practical silicon solar cells. J. Appl. Phys. 100, 063706 (2006).

    Article  ADS  CAS  Google Scholar 

  6. 6.

    Chen, Z., Guo, Y., Wertz, E. & Shi, J. Merits and challenges of ruddlesden–popper soft halide perovskites in electro-optics and optoelectronics. Adv. Mater. 31, 1803514 (2019).

    Article  CAS  Google Scholar 

  7. 7.

    Manser, J. S., Christians, J. A. & Kamat, P. V. Intriguing optoelectronic properties of metal halide perovskites. Chem. Rev. 116, 12956 (2016).

    Article  CAS  PubMed  Google Scholar 

  8. 8.

    Yang, W. S. et al. Iodide management in formamidinium-lead-halide–based perovskite layers for efficient solar cells. Science 356, 1376–1379 (2017).

    Article  ADS  CAS  PubMed  Google Scholar 

  9. 9.

    Xiao, Z. et al. Giant switchable photovoltaic effect in organometal trihalide perovskite devices. Nat. Mater. 14, 193–198 (2015).

    Article  ADS  CAS  PubMed  Google Scholar 

  10. 10.

    McMeekin, D. P. et al. A mixed-cation lead mixed-halide perovskite absorber for tandem solar cells. Science 351, 151–155 (2016).

    Article  ADS  CAS  PubMed  Google Scholar 

  11. 11.

    Yuan, M. et al. Perovskite energy funnels for efficient light-emitting diodes. Nat. Nanotechnol. 11, 872 (2016).

    Article  ADS  CAS  PubMed  Google Scholar 

  12. 12.

    Wang, N. et al. Perovskite light-emitting diodes based on solution-processed self-organized multiple quantum wells. Nat. Photonics 10, 699 (2016).

    Article  ADS  CAS  Google Scholar 

  13. 13.

    Zhu, H. et al. Lead halide perovskite nanowire lasers with low lasing thresholds and high quality factors. Nat. Mater. 14, 636 (2015).

    Article  ADS  CAS  PubMed  Google Scholar 

  14. 14.

    Ha, S.-T., Shen, C., Zhang, J. & Xiong, Q. Laser cooling of organic–inorganic lead halide perovskites. Nat. Photonics 10, 115 (2015).

    Article  ADS  CAS  Google Scholar 

  15. 15.

    Xing, G. et al. Low-temperature solution-processed wavelength-tunable perovskites for lasing. Nat. Mater. 13, 476–480 (2014).

    Article  ADS  CAS  PubMed  Google Scholar 

  16. 16.

    Fang, Y., Dong, Q., Shao, Y., Yuan, Y. & Huang, J. Highly narrowband perovskite single-crystal photodetectors enabled by surface-charge recombination. Nat. Photonics 9, 679 (2015).

    Article  ADS  CAS  Google Scholar 

  17. 17.

    Dou, L. et al. Solution-processed hybrid perovskite photodetectors with high detectivity. Nat. Commun. 5, 5404 (2014).

    Article  ADS  CAS  PubMed  Google Scholar 

  18. 18.

    Senanayak S. P. et al. Understanding charge transport in lead iodide perovskite thin-film field-effect transistors. Sci. Adv. 3, e1601935 (2017).

  19. 19.

    Li, F. et al. Ambipolar solution-processed hybrid perovskite phototransistors. Nat. Commun. 6, 8238 (2015).

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  20. 20.

    Walsh, A. & Zunger, A. Instilling defect tolerance in new compounds. Nat. Mater. 16, 964 (2017).

    Article  ADS  CAS  Google Scholar 

  21. 21.

    Meggiolaro, D. et al. Iodine chemistry determines the defect tolerance of lead-halide perovskites. Energy Environ. Sci. 11, 702–713 (2018).

    Article  CAS  Google Scholar 

  22. 22.

    Yin, W.-J., Shi, T. & Yan, Y. Unusual defect physics in CH3NH3PbI3 perovskite solar cell absorber. Appl. Phys. Lett. 104, 063903 (2014).

    Article  ADS  CAS  Google Scholar 

  23. 23.

    Park, N.-G., Grätzel, M., Miyasaka, T., Zhu, K. & Emery, K. Towards stable and commercially available perovskite solar cells. Nat. Energy 1, 16152 (2016).

    Article  ADS  CAS  Google Scholar 

  24. 24.

    Son, D.-Y. et al. Self-formed grain boundary healing layer for highly efficient CH3 NH3 PbI3 perovskite solar cells. Nat. Energy 1, 16081 (2016).

    Article  ADS  CAS  Google Scholar 

  25. 25.

    Long, R., Liu, J. & Prezhdo, O. V. Unravelling the effects of grain boundary and chemical doping on electron–hole recombination in CH3NH3PbI3 perovskite by time-domain atomistic simulation. J. Am. Chem. Soc. 138, 3884–3890 (2016).

    Article  CAS  PubMed  Google Scholar 

  26. 26.

    Shao, Y. et al. Grain boundary dominated ion migration in polycrystalline organic–inorganic halide perovskite films. Energy Environ. Sci. 9, 1752–1759 (2016).

    Article  CAS  Google Scholar 

  27. 27.

    de Quilettes, D. W. et al. Impact of microstructure on local carrier lifetime in perovskite solar cells. Science 348, 683–686 (2015).

    Article  ADS  CAS  Google Scholar 

  28. 28.

    Yang, Y. et al. Low surface recombination velocity in solution-grown CH3NH3PbBr3 perovskite single crystal. Nat. Commun. 6, 7961 (2015).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  29. 29.

    Yang, Y. et al. Top and bottom surfaces limit carrier lifetime in lead iodide perovskite films. Nat. Energy 2, 16207 (2017).

    Article  ADS  CAS  Google Scholar 

  30. 30.

    Leijtens, T. et al. Carrier trapping and recombination: the role of defect physics in enhancing the open circuit voltage of metal halide perovskite solar cells. Energy Environ. Sci. 9, 3472–3481 (2016).

    Article  CAS  Google Scholar 

  31. 31.

    Ball, J. M. & Petrozza, A. Defects in perovskite-halides and their effects in solar cells. Nat. Energy 1, 16149 (2016).

    Article  ADS  CAS  Google Scholar 

  32. 32.

    Azpiroz, J. M., Mosconi, E., Bisquert, J. & De Angelis, F. Defect migration in methylammonium lead iodide and its role in perovskite solar cell operation. Energy Environ. Sci. 8, 2118–2127 (2015).

    Article  CAS  Google Scholar 

  33. 33.

    Rehman, W. et al. Charge-carrier dynamics and mobilities in formamidinium lead mixed-halide perovskites. Adv. Mater. 27, 7938–7944 (2015).

    Article  CAS  PubMed  Google Scholar 

  34. 34.

    He, H. et al. Exciton localization in solution-processed organolead trihalide perovskites. Nat. Commun. 7, 10896 (2016).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  35. 35.

    Juarez-Perez, E. J. et al. Photoinduced giant dielectric constant in lead halide perovskite solar cells. J. Phys. Chem. Lett. 5, 2390–2394 (2014).

    Article  CAS  PubMed  Google Scholar 

  36. 36.

    Zhu, H. et al. Screening in crystalline liquids protects energetic carriers in hybrid perovskites. Science 353, 1409–1413 (2016).

    Article  ADS  CAS  PubMed  Google Scholar 

  37. 37.

    Shi, D. et al. Low trap-state density and long carrier diffusion in organolead trihalide perovskite single crystals. Science 347, 519–522 (2015).

    Article  ADS  CAS  PubMed  Google Scholar 

  38. 38.

    Dong, Q. et al. Electron-hole diffusion lengths >175 μm in solution grown CH3NH3PbI3 single crystals. Science 347, 967–970 (2015).

    Article  ADS  CAS  PubMed  Google Scholar 

  39. 39.

    Herz, L. M. Charge-carrier dynamics in organic-inorganic metal halide perovskites. Annu. Rev. Phys. Chem. 67, 65–89 (2016).

    Article  ADS  CAS  PubMed  Google Scholar 

  40. 40.

    Kim, Y. et al. Remote epitaxy through graphene enables two-dimensional material-based layer transfer. Nature 544, 340 (2017).

    Article  ADS  CAS  PubMed  Google Scholar 

  41. 41.

    Kong, W. et al. Polarity governs atomic interaction through two-dimensional materials. Nat. Mater. 17, 999–1004 (2018).

    Article  ADS  CAS  PubMed  Google Scholar 

  42. 42.

    Qi, Y. et al. Fast Growth of Strain-Free AlN on Graphene-Buffered Sapphire. J. Am. Chem. Soc. 140, 11935–11941 (2018).

    Article  CAS  PubMed  Google Scholar 

  43. 43.

    Lu, Z. et al. Remote epitaxy of copper on sapphire through monolayer graphene buffer. Nanotechnology 29, 445702 (2018).

    Article  ADS  CAS  PubMed  Google Scholar 

  44. 44.

    Jeong, J. et al. Remote heteroepitaxy across graphene: hydrothermal growth of vertical ZnO microrods on graphene-coated GaN substrate. Appl. Phys. Lett. 113, 233103 (2018).

    Article  CAS  Google Scholar 

  45. 45.

    Kim, J. et al. Principle of direct van der Waals epitaxy of single-crystalline films on epitaxial graphene. Nat. Commun. 5, 4836 (2014).

    Article  ADS  CAS  PubMed  Google Scholar 

  46. 46.

    Chen, Z. et al. High-brightness blue light-emitting diodes enabled by a directly grown graphene buffer layer. Adv. Mater. 30, 1801608 (2018).

    Article  CAS  Google Scholar 

  47. 47.

    Malard, L. M., Pimenta, M. A., Dresselhaus, G. & Dresselhaus, M. S. Raman spectroscopy in graphene. Phys. Rep. 473, 51–87 (2009).

    Article  ADS  CAS  Google Scholar 

  48. 48.

    Stoumpos, C. C. et al. Crystal growth of the perovskite semiconductor CsPbBr3: a new material for high-energy radiation detection. Cryst. Growth Des. 13, 2722–2727 (2013).

    Article  CAS  Google Scholar 

  49. 49.

    Rodová, M., Brožek, J., Knížek, K. & Nitsch, K. Phase transitions in ternary caesium lead bromide. J. Therm. Anal. Calorim. 71, 667–673 (2003).

    Article  Google Scholar 

  50. 50.

    Wang, Y., Shi, Y., Xin, G., Lian, J. & Shi, J. Two-dimensional van der Waals Epitaxy kinetics in a three-dimensional perovskite halide. Cryst. Growth Des. 15, 4741–4749 (2015).

    Article  CAS  Google Scholar 

  51. 51.

    Yaffe, O. et al. Local polar fluctuations in lead halide perovskite crystals. Phys. Rev. Lett. 118, 136001 (2017).

    Article  ADS  PubMed  Google Scholar 

  52. 52.

    Zhou, Y., Sternlicht, H. & Padture, N. P. Transmission electron microscopy of halide perovskite materials and devices. Joule 3, 641–661 (2019).

    Article  CAS  Google Scholar 

  53. 53.

    Luo Y.-R. Comprehensive handbook of chemical bond energies (CRC press, 2007).

  54. 54.

    Wang, Y. et al. High-temperature ionic epitaxy of halide perovskite thin film and the hidden carrier dynamics. Adv. Mater. 29, 1702643 (2017).

    Article  CAS  Google Scholar 

  55. 55.

    Distler, G. I. & Zvyagin, B. B. A dislocation-free mechanism of growth of real crystals. Nature 212, 807–808 (1966).

    Article  ADS  CAS  Google Scholar 

  56. 56.

    Matthews, J. W. & Blakeslee, A. E. Defects in epitaxial multilayers: I. Misfit dislocations. J. Cryst. Growth 27, 118–125 (1974).

    ADS  CAS  Google Scholar 

  57. 57.

    Chen, H. et al. Low‐temperature buffer layer for growth of a low‐dislocation‐density SiGe layer on Si by molecular‐beam epitaxy. J. Appl. Phys. 79, 1167–1169 (1996).

    Article  ADS  CAS  Google Scholar 

  58. 58.

    Chen, Z. et al. Regulating carrier dynamics in single crystal halide perovskite via interface engineering and optical doping. Adv. Electron. Mater. 2, 1600248 (2016).

    Article  CAS  Google Scholar 

  59. 59.

    Wehrenfennig, C., Eperon, G. E., Johnston, M. B., Snaith, H. J. & Herz, L. M. High charge carrier mobilities and lifetimes in organolead trihalide perovskites. Adv. Mater. 26, 1584–1589 (2014).

    Article  CAS  PubMed  Google Scholar 

  60. 60.

    Harding, W. R., Blenkinsop, I. D. & Wight, D. R. Dislocation-limited minority-carrier lifetime in n-type GaP. Electron. Lett. 12, 503–504 (1976).

    Article  CAS  Google Scholar 

  61. 61.

    Wight, D. R., Blenkinsop, I. D., Harding, W. & Hamilton, B. Diffusion-limited lifetime in semiconductors. Phys. Rev. B 23, 5495–5510 (1981).

    Article  ADS  CAS  Google Scholar 

  62. 62.

    Sproul, A. B. Dimensionless solution of the equation describing the effect of surface recombination on carrier decay in semiconductors. J. Appl. Phys. 76, 2851–2854 (1994).

    Article  ADS  CAS  Google Scholar 

  63. 63.

    Chen, J. et al. Single-crystal thin films of cesium lead bromide perovskite epitaxially grown on metal oxide perovskite (SrTiO3). J. Am. Chem. Soc. 139, 13525–13532 (2017).

    Article  CAS  PubMed  Google Scholar 

  64. 64.

    Mendelson, S. Dislocation etch pit formation in sodium chloride. J. Appl. Phys. 32, 1579–1583 (1961).

    Article  ADS  CAS  Google Scholar 

  65. 65.

    Pernot, C. et al. Low-Intensity ultraviolet photodetectors based on AlGaN. Jpn. J. Appl. Phys. 38, L487–L489 (1999).

    Article  CAS  Google Scholar 

  66. 66.

    Sun, X. et al. van der Waals epitaxy of antimony islands, sheets, and thin films on single-crystalline graphene. ACS Nano 12, 6100–6108 (2018).

    Article  CAS  PubMed  Google Scholar 

  67. 67.

    Kresse, G. & Furthmüller, J. Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set. Phys. Rev. B 54, 11169–11186 (1996).

    Article  ADS  CAS  Google Scholar 

  68. 68.

    Blöchl, P. E. Projector augmented-wave method. Phys. Rev. B 50, 17953–17979 (1994).

    Article  ADS  Google Scholar 

  69. 69.

    Perdew, J. P., Burke, K. & Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett. 77, 3865–3868 (1996).

    Article  ADS  CAS  PubMed  Google Scholar 

  70. 70.

    Klimeš, J., Bowler, D. R. & Michaelides, A. Van der Waals density functionals applied to solids. Phys. Rev. B 83, 195131 (2011).

    Article  ADS  CAS  Google Scholar 

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We acknowledge the financial support from the National Key Research and Development Program of China (Grant No. 2017YFB0702100), National Natural Science Foundation of China (Grant No. 51705017, U1706221, and 51727901). The experimental work is supported by the NYSTAR Focus Center at Rensselaer Polytechnic Institute (RPI), C150117, NSF award under No. 1635520, No. 1712752, No. 1508410 and No. 1706815, Air Force Office of Scientific Research under award number FA9550-18-1-0116, the Office of Naval Research under award number N000141812408 and NSF MIP PARADIM under award number 1539918. Research performed at Brown University was supported by the National Science Foundation (OIA-1538893) and the Office for Naval Research (N00014-17-1-2232). K.B. and H.T. are grateful to the National Science Foundation (EFRI-1433311), the Center for Computational Innovations (CCI) at Rensselaer Polytechnic Institute, and the Extreme Science and Engineering Discovery Environment (XSEDE, project TG-DMR17008), which is supported by National Science Foundation grant number ACI-1053575.

Author information




J.S. conceived the idea. J.S., J.F. and L.G. supervised the project. J.J., X.S. and J.S. designed the experiments. X.S. processed and prepared substrates coated with graphene. J.J. prepared flakes/thin films and performed SEM. J.J. and Z.C. performed PL measurements. J.J., Z.C. and Y.H. performed device fabrication and photo response measurements. X.S., K.B. and H.T. performed Raman spectroscopy measurements and analysis. B.W. performed XRD. J.J. and Y.H. analyzed the domain pattern. L.Z. performed AFM. Y.G. performed HRTEM at Cornell University. F.Z. and L.J. performed STEM. J.J., J.S., M.C., Z.M., Y.Z. and N.P.P. performed FIB and TEM at Brown University. X.C. performed FIB, HRAFM and PFM at Tsinghua University. Y.M. and L.G. performed DFT calculations. Y.S. performed MD simulations. J.J. analyzed data and wrote the paper. All the authors were involved in the discussion for data analysis. D.G., X.S., T.L., E.W. and J.S. revised the manuscript.

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Correspondence to Lei Gao, Jing Feng or Jian Shi.

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Jiang, J., Sun, X., Chen, X. et al. Carrier lifetime enhancement in halide perovskite via remote epitaxy. Nat Commun 10, 4145 (2019).

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