(63k) Autonomous Synthesis of Eco-Friendly Metal Halide Perovskite Nanocrystals | AIChE

(63k) Autonomous Synthesis of Eco-Friendly Metal Halide Perovskite Nanocrystals

Authors 

Sadeghi, S. - Presenter, Texas Tech University
Bateni, F., Ohio University
Abolhasani, M., NC State University
Metal halide perovskite (MHP) nanocrystals (NCs) have been of great interest in photonic and optoelectronic devices due to their size- and composition-tunable optical properties, high photoluminescence quantum yield (PLQY), large absorption cross section, and facile solution-phase synthesis and processing. Despite the intriguing properties of MHP NCs, their adoption by printed technologies is greatly hampered by the lead toxicity. Recently, copper (Cu)-based MHPs have emerged as a promising lead-free candidate with unique optical properties, such as a wide bandgap energy, a large stokes shift, narrow size distributions, and tunable self-trapped exciton (STE) emissions. Among Cu-based MHP NCs, cesium copper iodide (Cs3Cu2I5) exhibits a high air stability and has a pure orthorhombic crystal structure, where tetrahedral [CuI4] and trigonal [CuI3] units are edge-shared to form [Cu2I5] clusters that are isolated by cesium cations.1 While the synthesis and optical/morphology properties of cesium copper halide perovskites have been reported in literature,1–4 the fast formation kinetics of these NCs could result in batch-to-batch variations, which complicates their fundamental and applied studies. Herein, we report a modular flow chemistry platform directed by machine learning (ML) to autonomously synthesize Cs3Cu2I5 NCs with the desired optical and optoelectronic properties for photonic devices. Utilizing an active learning-guided experimentation mode of the developed self-driven flow chemistry strategy, we autonomously study the effects of precursor concentration, ligand population, reaction time, and temperature on the optical properties of Cs3Cu2I5 NCs. Utilizing Bayesian optimization, we demonstrate the unique potential of miniaturized flow reactors equipped with an online monitoring probe for accelerated parameter space mapping and on-demand synthesis of high-performing lead-free MHP NCs while minimizing chemical consumption and waste generation.

References:

(1) Luo, Z.; Li, Q.; Zhang, L.; Wu, X.; Tan, L.; Zou, C.; Liu, Y.; Quan, Z. 0D Cs3Cu2X5 (X = I, Br, and Cl) Nanocrystals: Colloidal Syntheses and Optical Properties. Small 2020, 16 (3), 1905226. https://doi.org/10.1002/smll.201905226.

(2) Li, Y.; Vashishtha, P.; Zhou, Z.; Li, Z.; Shivarudraiah, S. B.; Ma, C.; Liu, J.; Wong, K. S.; Su, H.; Halpert, J. E. Room Temperature Synthesis of Stable, Printable Cs3Cu2X5 (X = I, Br/I, Br, Br/Cl, Cl) Colloidal Nanocrystals with Near-Unity Quantum Yield Green Emitters (X = Cl). Chem. Mater. 2020, 32 (13), 5515–5524. https://doi.org/10.1021/acs.chemmater.0c00280.

(3) Lu, Y.; Fang, S.; Li, G.; Li, L. Optimal Colloidal Synthesis and Quality Judgment of Low-Dimensional Cs3Cu2Cl5 Nanocrystals with Efficient Green Emission. J. Alloys Compd. 2022, 903, 163924. https://doi.org/10.1016/j.jallcom.2022.163924.

(4) Li, C.-X.; Cho, S.-B.; Kim, D.-H.; Park, I.-K. Monodisperse Lead-Free Perovskite Cs3Cu2I5 Nanocrystals: Role of the Metal Halide Additive. Chem. Mater. 2022, 34 (15), 6921–6932. https://doi.org/10.1021/acs.chemmater.2c01318.

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