High-resolution transmission electron microscopy of beam-sensitive halide perovskites

Yuan, Biao; Yu, Yi

doi:10.1016/j.chempr.2022.01.006

Cited by 13 publications

(12 citation statements)

References 43 publications

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“…For instance, it has been difficult to obtain high‐quality microscopy data for MHPs, because MHPs are extremely sensitive to electron‐beam irradiation. [ 167 ] Nevertheless, the powerful ML models for microscopy images such as ZeroCostDL4Mic, [ 168 ] deep convolution neural network [ 169 ] and rotationally invariant variational autoencoder [ 170 ] are developed recently. Reconstructed MHP high‐resolution microscopy images by the above ML models will be useful for many applications, such as mapping ferroelectric phase, visualizing grain boundaries, and observing in situ reactions.…”

Section: Materials Design and Optimization Of Metal Halide Perovskitesmentioning

confidence: 99%

Challenges, Opportunities, and Prospects in Metal Halide Perovskites from Theoretical and Machine Learning Perspectives

Myung

Hajibabaei

Cha

et al. 2022

Advanced Energy Materials

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Metal halide perovskite (MHP) is a promising next generation energy material for various applications, such as solar cells, light emitting diodes, lasers, sensors, and transistors. MHPs show excellent mechanical, dielectric, photovoltaic, photoluminescence, and electronic properties, and such intriguing physical and chemical properties have drawn attention recently. However, there exists a chasm between the successful applications of MHPs and theoretical understandings. The difficulty arises from the intrinsic properties of MHPs, including structural disorder, ionic interactions, nonadiabatic effects, and composition diversity. Machine learning (ML) approaches have shown great promise as a tool to overcome the theoretical obstacles in many fields of science. In this perspective, the pending theoretical challenges from experiments are overviewed and promising ML approaches, including ab initio ML potentials, materials design/optimization models, and data mining strategies are proposed. Possible roles and pipelines of ML frameworks are highlighted to close the gap between experiment and theory in MHPs.

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Section: Materials Design and Optimization Of Metal Halide Perovskitesmentioning

confidence: 99%

Challenges, Opportunities, and Prospects in Metal Halide Perovskites from Theoretical and Machine Learning Perspectives

Myung

Hajibabaei

Cha

et al. 2022

Advanced Energy Materials

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“…Although electron microscopy can provide atomic-resolution information on lattice structures, it is still challenging to atomically resolve the structures of MHPs, especially their local structures, due to the electron sensitivity. Only a few previous works have reported atomic imaging of the MHP lattice, [28][29][30][31][32][33][34][35] while it is more difficult to investigate the atomic structural changes in situ. Most of the in situ electron microscopy studies on MHPs only examined the effect of electron irradiation on the structure, which cannot solve the problems of instability of MHPs induced by temperature, air and water conditions that we are concerned about in real applications.…”

Section: Introductionmentioning

confidence: 99%

Atomically Unraveling the Structural Evolution of Surfaces and Interfaces in Metal Halide Perovskite Quantum Dots

Zhang

Lei

et al. 2023

Advanced Materials

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Revealing the local structural change of metal halide perovskites (MHPs) induced by external conditions is important to understand its performance and stability in optoelectronic applications. However, previous studies on the properties and structures of MHPs are usually limited by the spatial resolution of the probe, and it is still challenging to obtain its atomic structural information in real space. In this work, the integrated differential‐phase‐contrast scanning transmission electron microscopy is applied to the low‐dose imaging of CsPbI3 quantum dots (QDs). In particular, the local structures in QDs, such as surfaces and interfaces, can be atomically resolved. Then, the structural evolution of CsPbI3 QDs under various external conditions can be unraveled during in situ heating or ex situ treatments, where it lose cubic shapes and fuse to larger particles. The changes in surfaces and interfaces with missing Cs ions and PbI6 octahedrons can be semi‐quantitatively studied by profile analysis and bond‐length measurement in images. Finally, density functional theory calculations are performed to illustrate the properties and stabilities of the different structures that are observed. These results provide atomic‐scale insights into the structural evolution of QDs, which is of great importance to modify the performance of perovskite materials and devices.

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“…Electron microscopy studies of beam sensitive materials, [ 1–3 ] such as zeolites, [ 4–6 ] metal–organic frameworks (MOFs), [ 7–9 ] covalent organic frameworks (COFs), [ 10–12 ] and organic–inorganic hybrid perovskite materials, [ 13–15 ] have recently received a wealth of interests in their elaborate structures and versatilities in granting new functions. However, these delicate structures are easily damaged under electron beam (e‐beam) radiation, which introduces great difficulties to their electron microscopy characterization.…”

Section: Introductionmentioning

confidence: 99%

“…Electron microscopy studies of beam sensitive materials, [1][2][3] such as zeolites, [4][5][6] metal-organic frameworks (MOFs), [7][8][9] covalent organic frameworks (COFs), [10][11][12] and organic-the beam damage was reduced largely and building blocks of MIL-101 crystal was revealed clearly.…”

Section: Introductionmentioning

confidence: 99%

Improving Data Quality in Traditional Low‐Dose Scanning Transmission Electron Microscopy Imaging

Wang

Jiang

Zhou

et al. 2022

Part & Part Syst Charact

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It has become very important to study and find optimal conditions for imaging electron‐beam (e‐beam) sensitive materials in scanning transmission electron microscopy under low electron‐dose with high signal‐to‐noise ratio (SNR). Convergence and collection angles and electron‐probe current are essential parameters. However, these parameters have rarely been discussed in a systematic way. In this paper, the illumination and collection conditions are optimized according to the resolution requirement of different materials by adjusting the condenser and intermediate lenses in a commercial transmission electron microscope. To demonstrate the significance of optimizing these parameters, two examples, zeolite MFI and metal–organic framework (MOF) MIL‐101, are taken among the sensitive materials, with the most important electron incidences along the [010] and <110> directions, respectively. High SNR atomic resolution images of MFI are obtained with e‐beam current as low as 0.50 pA, reaching information transfer for reflection up to 18 0 2 corresponding to d‐spacing of 0.11 nm, close to the resolution limit of 0.098 nm from resolvable diffraction limit. MOF MIL‐101 is characterized under an even lower e‐beam 0.2 pA to avoid severe beam damage. High‐quality annular dark and bright field images are obtained, which proves the wide applicability of this method on more e‐beam sensitive materials.

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High-resolution transmission electron microscopy of beam-sensitive halide perovskites

Cited by 13 publications

References 43 publications

Challenges, Opportunities, and Prospects in Metal Halide Perovskites from Theoretical and Machine Learning Perspectives

Challenges, Opportunities, and Prospects in Metal Halide Perovskites from Theoretical and Machine Learning Perspectives

Atomically Unraveling the Structural Evolution of Surfaces and Interfaces in Metal Halide Perovskite Quantum Dots

Improving Data Quality in Traditional Low‐Dose Scanning Transmission Electron Microscopy Imaging

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