A Modular Self-Driving Laboratory for Automated Synthesis of CsPb(Cl/Br/I) <sub>3</sub> Perovskite Nanocrystals

Self-driving laboratories (SDLs) integrating automation and data-driven control are increasingly used in materials synthesis. Existing SDLs still face challenges in hardware integration and stable flow operation. Here, we report a modular fluidic-microwave SDL for the automated synthesis of perovskite nanocrystals (PNCs) with programmable thermal profiles and inline photoluminescence monitoring. Its constant-pressure fluidics and batch microwave design decouple reaction temperature from residence time, suppress flow pulsation, and yield reproducible low-noise data sets. Using CsPbX<sub>3</sub> (X = Cl, Br, I), the platform achieves relative standard deviations of 1.53% in fwhm, 0.06% in peak wavelength, and 1.85% in PL intensity across runs. Automated parameter screening identifies an optimal synthesis window (120-140 °C, 28 °C min<sup>-1</sup>, 120-180 s, Pb/Cs = 2-3) that produces phase-pure nanocrystals with narrow emission line widths (∼18-19 nm). This SDL provides a reproducible, programmable basis for closed-loop optimization and AI-guided nanomaterials synthesis.

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Publication Details

Journal
Nano Letters
Published
2025-12-30
DOI
https://doi.org/10.1021/acs.nanolett.5c05581
Citations
1
Primary Topic
Perovskite Materials and Applications
Type
article
Field-Weighted Citation Impact
0.73
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article

A Modular Self-Driving Laboratory for Automated Synthesis of CsPb(Cl/Br/I) 3 Perovskite Nanocrystals

Kai Huang, Joanna Xiuzhu Xu, Guanqi Huang, Jiaze Wu et al.
1 citations
Nano Letters
Perovskite Materials and Applications
0.73
article

A Modular Self-Driving Laboratory for Automated Synthesis of CsPb(Cl/Br/I) 3 Perovskite Nanocrystals

Kai Huang, Joanna Xiuzhu Xu, Guanqi Huang, Jiaze Wu, Mahyar Rajabi-Kochi, Yixuan Chen, Siyue Wang, Seyed Mohamad Moosavi
article en
1 citations

Abstract

Self-driving laboratories (SDLs) integrating automation and data-driven control are increasingly used in materials synthesis. Existing SDLs still face challenges in hardware integration and stable flow operation. Here, we report a modular fluidic-microwave SDL for the automated synthesis of perovskite nanocrystals (PNCs) with programmable thermal profiles and inline photoluminescence monitoring. Its constant-pressure fluidics and batch microwave design decouple reaction temperature from residence time, suppress flow pulsation, and yield reproducible low-noise data sets. Using CsPbX<sub>3</sub> (X = Cl, Br, I), the platform achieves relative standard deviations of 1.53% in fwhm, 0.06% in peak wavelength, and 1.85% in PL intensity across runs. Automated parameter screening identifies an optimal synthesis window (120-140 °C, 28 °C min<sup>-1</sup>, 120-180 s, Pb/Cs = 2-3) that produces phase-pure nanocrystals with narrow emission line widths (∼18-19 nm). This SDL provides a reproducible, programmable basis for closed-loop optimization and AI-guided nanomaterials synthesis.

Nano LettersVol. 26(1)
University of Toronto (CA), Vector Institute (CA)
Openalex Percentile: Top 20%
Perovskite Materials and Applications
0.73
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