Multiscale Coupling Between Macroscopic Mechanics and Atomic Assembly (MM–AA) of Soft‐Lattice Halide Perovskites

ABSTRACT Halide perovskites are promising candidates for optoelectronic devices, but their solution‐processed films frequently suffer from solute aggregation, crystalline disorder, and random orientation, that is, defects that significantly compromise device performance. These issues arise from complex multiscale interactions during film formation, where macroscopic mechanical forces could hypothetically influence atomic‐scale assembly. This review elucidates the critical role of multiscale mechanical coupling (linking surface/interface mechanics, fluid dynamics, and crystallization kinetics) in governing perovskite film quality, which ultimately enhanced the uniformity of film thickness, photoelectric performance, and long‐term stability. We first analyze how solvent evaporation, interfacial energy, and flow‐induced shear shape the spatiotemporal evolution of solute distribution and crystal growth. Building on this understanding, we present mechanical regulation strategies aimed at directing film formation: modifying wettability through surfactants and surface energy modulators; manipulating flow behavior via Marangoni convection and shear stress; and mitigating interfacial stress through lattice and thermal expansion matching. To further enhance structural control, we highlight fabrication techniques that couple multiple external fields (e.g., thermal, electrical, mechanical, and chemical fields) and leverage in situ characterization for real‐time feedback. Finally, we explore machine learning‐assisted multiscale modeling as a powerful tool to connect atomic interactions with macroscopic processing variables, enabling predictive optimization. By integrating these insights, this review establishes a unified framework for guiding high‐quality, scalable perovskite film fabrication toward industrial deployment.

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Aggregate
Published
2025-09-26
DOI
https://doi.org/10.1002/agt2.70170
Citations
1
Primary Topic
Perovskite Materials and Applications
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article
Field-Weighted Citation Impact
0.73

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article

Multiscale Coupling Between Macroscopic Mechanics and Atomic Assembly (MM–AA) of Soft‐Lattice Halide Perovskites

Jin Qian, Bed Poudel, Xiaojia Zheng, Lizhi Ren et al.
1 citations
Aggregate
Perovskite Materials and Applications
0.73
article

Multiscale Coupling Between Macroscopic Mechanics and Atomic Assembly (MM–AA) of Soft‐Lattice Halide Perovskites

Jin Qian, Bed Poudel, Xiaojia Zheng, Lizhi Ren, Xiangzhe Li, Kai Wang
article en
1 citations

Abstract

ABSTRACT Halide perovskites are promising candidates for optoelectronic devices, but their solution‐processed films frequently suffer from solute aggregation, crystalline disorder, and random orientation, that is, defects that significantly compromise device performance. These issues arise from complex multiscale interactions during film formation, where macroscopic mechanical forces could hypothetically influence atomic‐scale assembly. This review elucidates the critical role of multiscale mechanical coupling (linking surface/interface mechanics, fluid dynamics, and crystallization kinetics) in governing perovskite film quality, which ultimately enhanced the uniformity of film thickness, photoelectric performance, and long‐term stability. We first analyze how solvent evaporation, interfacial energy, and flow‐induced shear shape the spatiotemporal evolution of solute distribution and crystal growth. Building on this understanding, we present mechanical regulation strategies aimed at directing film formation: modifying wettability through surfactants and surface energy modulators; manipulating flow behavior via Marangoni convection and shear stress; and mitigating interfacial stress through lattice and thermal expansion matching. To further enhance structural control, we highlight fabrication techniques that couple multiple external fields (e.g., thermal, electrical, mechanical, and chemical fields) and leverage in situ characterization for real‐time feedback. Finally, we explore machine learning‐assisted multiscale modeling as a powerful tool to connect atomic interactions with macroscopic processing variables, enabling predictive optimization. By integrating these insights, this review establishes a unified framework for guiding high‐quality, scalable perovskite film fabrication toward industrial deployment.

AggregateVol. 6(11)
Pennsylvania State University (US), China Academy of Engineering Physics (CN), Sichuan Research Center of New Materials (CN), Nanjing University of Aeronautics and Astronautics (CN)
National Natural Science Foundation of China, Wuhan Textile University, Natural Science Foundation of Zhejiang Province
Openalex Percentile: Top 23%
Perovskite Materials and Applications
0.73
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