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Data-Driven Controlled Synthesis of Oriented Quasi-Spherical CsPbBr3 Perovskite Materials
Shaohui Liu1,2,3, Zijian Chen1,3,4, Yingming Liu5
1Center for Intelligent and Biomimetic Systems, Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, Guangdong, PR China.
Data-driven strategies enable controlled synthesis of oriented quasi-spherical cesium lead bromide (CsPbBr3) perovskite crystals. This approach significantly enhances their optical properties through optimized crystal structure and growth conditions.
Area of Science:
- Materials Science
- Crystallography
- Nanotechnology
Background:
- Controlled synthesis of lead-halide perovskite crystals, like CsPbBr3, is crucial for tuning their optoelectronic properties.
- Crystal structure and growth conditions significantly impact perovskite performance, making controlled synthesis a key challenge.
- Existing methods often lack precise control over morphology and properties, necessitating advanced synthesis strategies.
Purpose of the Study:
- To develop data-driven strategies for the controlled synthesis of oriented quasi-spherical CsPbBr3 perovskite crystals.
- To investigate the synthesis mechanism and identify correlations between synthesis parameters and crystal properties.
- To enhance the optical properties of CsPbBr3 perovskites through morphology control.
Main Methods:
- High-throughput characterization of absorption spectra and color for 23 ligands.
- Statistical analysis of over 100 publications to link absorption spectra slope and crystal size.
- Big data analysis and machine learning applied to 688 absorption spectra and 652 color values.
- Ex situ characterization and Density Functional Theory (DFT) calculations.
Main Results:
- Successful synthesis of oriented quasi-spherical CsPbBr3 perovskites using polyvinylpyrrolidone and Acacia ligands.
- Identification of correlations between synthesis parameters, crystal morphology, and optical properties.
- DFT calculations revealed strong adsorption of Acacia on the CsPbBr3 (110) facet, influencing crystal growth.
- Data-driven synthesis significantly improved the optical properties of the resulting perovskites.
Conclusions:
- Data-driven controlled synthesis is an effective strategy for achieving morphology-controlled CsPbBr3 perovskites.
- This approach facilitates the production of perovskites with excellent and predictable optical properties.
- The findings pave the way for scalable and precise fabrication of high-performance perovskite materials.
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