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Flow Synthesis of Metal Halide Perovskite Quantum Dots: From Rapid Parameter Space Mapping to AI-Guided Modular Manufacturing
Matter ( IF 17.3 ) Pub Date : 2020-10-07 , DOI: 10.1016/j.matt.2020.07.024
Kameel Abdel-Latif , Fazel Bateni , Steven Crouse , Milad Abolhasani

Microscale flow synthesis is a versatile technology for accelerated materials development and rapid process-structure-property mapping of solution-processed materials. Lead (Pb) halide perovskite quantum dots (PQDs), with their outstanding optoelectronic properties and widespread applications in photonic devices, are an exciting high-priority material candidate for rapid exploration with flow synthesis strategies. Modular and reconfigurable flow synthesis platforms equipped with precursor formulation, controlled flow synthesis, and in situ diagnostic modules can enable high-throughput experimentation with real-time access to Pb halide PQD optoelectronic properties. In this review, we discuss recent efforts focused on in situ characterization, post-processing, artificial intelligence (AI)-enhanced synthesis optimization, and mechanistic studies of Pb halide PQDs conducted utilizing flow synthesis techniques. Furthermore, we provide an overview of the recently developed AI-guided flow synthesis strategies for accelerated development and continuous manufacturing of Pb halide PQDs. Finally, we present current challenges and potential future directions toward enabling end-to-end continuous manufacturing of application-ready PQDs.



中文翻译:

金属卤化物钙钛矿量子点的流式合成:从快速参数空间映射到AI指导的模块化制造

微型流合成是一种用于加速材料开发和溶液加工材料的快速过程结构特性映射的通用技术。铅(Pb)卤化物钙钛矿量子点(PQDs)具有出色的光电性能,并在光子器件中得到广泛应用,是通过流动合成策略快速探索的令人兴奋的高优先级材料。配备前体配方,可控流合成和原位诊断模块的模块化和可重构流合成平台可实现高通量实验,并实时获取卤化铅PQD的光电特性。在这篇评论中,我们讨论了集中在原地的最新努力流动合成技术进​​行的表征,后处理,人工智能(AI)增强的合成优化以及卤化铅PQD的机理研究。此外,我们提供了最近开发的AI指导的流合成策略的概述,以加速卤化物PQD的开发和连续生产。最后,我们提出了当前的挑战和潜在的未来方向,以实现端到端的连续应用就绪PQD的制造。

更新日期:2020-10-07
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